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You searched for subject:(GPU optimization). Showing records 1 – 30 of 50 total matches.

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University of Waterloo

1. Rostrup, Scott. Solving Hyperbolic PDEs using Accelerator Architectures.

Degree: 2009, University of Waterloo

 Accelerator architectures are used to accelerate the simulation of nonlinear hyperbolic PDEs. Three different architectures, a multicore CPU using threading, IBM’s Cell Processor, and Nvidia’s… (more)

Subjects/Keywords: GPU; Cell Processor; Hyperbolic PDEs; Hardware Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rostrup, S. (2009). Solving Hyperbolic PDEs using Accelerator Architectures. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rostrup, Scott. “Solving Hyperbolic PDEs using Accelerator Architectures.” 2009. Thesis, University of Waterloo. Accessed November 21, 2018. http://hdl.handle.net/10012/4518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rostrup, Scott. “Solving Hyperbolic PDEs using Accelerator Architectures.” 2009. Web. 21 Nov 2018.

Vancouver:

Rostrup S. Solving Hyperbolic PDEs using Accelerator Architectures. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/10012/4518.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rostrup S. Solving Hyperbolic PDEs using Accelerator Architectures. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4518

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


California State University – Sacramento

2. Sakhare, Snehal. Parallalize neural network training with GPU computing.

Degree: 2015, California State University – Sacramento

 Neural Networks (NNs) have been broadly used for many applications like Speech Recognition, Image Recognition, and character Recognition. However, the investment of larger training time… (more)

Subjects/Keywords: CUDA; GPU computing; Particle swarm optimization; Neural network training

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sakhare, S. (2015). Parallalize neural network training with GPU computing. (Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/159313

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sakhare, Snehal. “Parallalize neural network training with GPU computing.” 2015. Thesis, California State University – Sacramento. Accessed November 21, 2018. http://hdl.handle.net/10211.3/159313.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sakhare, Snehal. “Parallalize neural network training with GPU computing.” 2015. Web. 21 Nov 2018.

Vancouver:

Sakhare S. Parallalize neural network training with GPU computing. [Internet] [Thesis]. California State University – Sacramento; 2015. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/10211.3/159313.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sakhare S. Parallalize neural network training with GPU computing. [Thesis]. California State University – Sacramento; 2015. Available from: http://hdl.handle.net/10211.3/159313

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

3. Daga, Mayank. Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems.

Degree: Computer Science, 2011, Virginia Tech

 The emergence of scientific applications embedded with multiple modes of parallelism has made heterogeneous computing systems indispensable in high performance computing. The popularity of such… (more)

Subjects/Keywords: molecular modeling; performance evaluation; optimization; OpenCL; CUDA; GPU; multicore CPU

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APA (6th Edition):

Daga, M. (2011). Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems. (Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Daga, Mayank. “Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems.” 2011. Thesis, Virginia Tech. Accessed November 21, 2018. http://hdl.handle.net/10919/32535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Daga, Mayank. “Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems.” 2011. Web. 21 Nov 2018.

Vancouver:

Daga M. Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems. [Internet] [Thesis]. Virginia Tech; 2011. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/10919/32535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Daga M. Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems. [Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/32535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

4. Khan, Malik Muhammad Zaki Murtaza. Autotuning, code generation and optimizing compiler technology for GPUs.

Degree: PhD, Computer Science, 2012, University of Southern California

 Graphics Processing Units (GPUs) have evolved to devices with teraflop-level performance potential. Application developers have a tedious task in developing GPU software by correctly identifying… (more)

Subjects/Keywords: code optimization; compiler technology; autotuning; GPGPU; CUDA; GPU programming.

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APA (6th Edition):

Khan, M. M. Z. M. (2012). Autotuning, code generation and optimizing compiler technology for GPUs. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008

Chicago Manual of Style (16th Edition):

Khan, Malik Muhammad Zaki Murtaza. “Autotuning, code generation and optimizing compiler technology for GPUs.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 21, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008.

MLA Handbook (7th Edition):

Khan, Malik Muhammad Zaki Murtaza. “Autotuning, code generation and optimizing compiler technology for GPUs.” 2012. Web. 21 Nov 2018.

Vancouver:

Khan MMZM. Autotuning, code generation and optimizing compiler technology for GPUs. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2018 Nov 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008.

Council of Science Editors:

Khan MMZM. Autotuning, code generation and optimizing compiler technology for GPUs. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008


Uppsala University

5. Powell, Robin. Optimized Graphics for Handheld Real-time CG Applications.

Degree: Game Design, 2014, Uppsala University

  The purpose of this theoretical thesis is to research the problem: producing optimized content for handheld real-time CG applications. This thesis is based on… (more)

Subjects/Keywords: 3D; game; art; mobile devices; graphic optimization; 3D models; GPU; CPU

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APA (6th Edition):

Powell, R. (2014). Optimized Graphics for Handheld Real-time CG Applications. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-225831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Powell, Robin. “Optimized Graphics for Handheld Real-time CG Applications.” 2014. Thesis, Uppsala University. Accessed November 21, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-225831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Powell, Robin. “Optimized Graphics for Handheld Real-time CG Applications.” 2014. Web. 21 Nov 2018.

Vancouver:

Powell R. Optimized Graphics for Handheld Real-time CG Applications. [Internet] [Thesis]. Uppsala University; 2014. [cited 2018 Nov 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-225831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Powell R. Optimized Graphics for Handheld Real-time CG Applications. [Thesis]. Uppsala University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-225831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Merced

6. Shin, Jun Hyung. Novel Selectivity Estimation Strategy for Modern DBMS.

Degree: Electrical Engineering and Computer Science, 2018, University of California – Merced

 Selectivity estimation is important in query optimization, however accurate estimation is difficult when predicates are complex. Instead of existing database synopses and statistics not helpful… (more)

Subjects/Keywords: Computer science; GPU-accelerated database systems; Query optimization; Selectivity estimation

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APA (6th Edition):

Shin, J. H. (2018). Novel Selectivity Estimation Strategy for Modern DBMS. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/43s0j1p1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shin, Jun Hyung. “Novel Selectivity Estimation Strategy for Modern DBMS.” 2018. Thesis, University of California – Merced. Accessed November 21, 2018. http://www.escholarship.org/uc/item/43s0j1p1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shin, Jun Hyung. “Novel Selectivity Estimation Strategy for Modern DBMS.” 2018. Web. 21 Nov 2018.

Vancouver:

Shin JH. Novel Selectivity Estimation Strategy for Modern DBMS. [Internet] [Thesis]. University of California – Merced; 2018. [cited 2018 Nov 21]. Available from: http://www.escholarship.org/uc/item/43s0j1p1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shin JH. Novel Selectivity Estimation Strategy for Modern DBMS. [Thesis]. University of California – Merced; 2018. Available from: http://www.escholarship.org/uc/item/43s0j1p1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

7. Sedláček, Filip. Zpracování obrazu s velkými datovými toky - využití CUDA/OpenCL .

Degree: 2018, Brno University of Technology

 Hlavným cieľom tejto práce je návrh optimalizácie algoritmu detekujúceho vady v produkovanom netkanom textile. Algoritmus vyvinula spoločnosť CAMEA spol. s.r.o. Dôsledkom zmeny aktuálneho kamerového systému… (more)

Subjects/Keywords: GPGPU; GPU; CPU; CUDA; OpenCL; optimalizácia; paralelizácia; detekcia defektov; GPGPU; GPU; CPU; CUDA; OpenCL; optimization; parallelization; defect detection

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APA (6th Edition):

Sedláček, F. (2018). Zpracování obrazu s velkými datovými toky - využití CUDA/OpenCL . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/80886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sedláček, Filip. “Zpracování obrazu s velkými datovými toky - využití CUDA/OpenCL .” 2018. Thesis, Brno University of Technology. Accessed November 21, 2018. http://hdl.handle.net/11012/80886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sedláček, Filip. “Zpracování obrazu s velkými datovými toky - využití CUDA/OpenCL .” 2018. Web. 21 Nov 2018.

Vancouver:

Sedláček F. Zpracování obrazu s velkými datovými toky - využití CUDA/OpenCL . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/11012/80886.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sedláček F. Zpracování obrazu s velkými datovými toky - využití CUDA/OpenCL . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/80886

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Bachmann, Etienne. Imagerie ultrasonore 2D et 3D sur GPU : application au temps réel et à l'inversion de forme d'onde complète : 2D and 3D ultrasoundimaging using GPU : toward real-time and full waveform inversion.

Degree: Docteur es, Dynamique des fluides, 2016, Université Toulouse III – Paul Sabatier

Si les avancées majeures en imagerie ultrasonore ont longtemps été liées à la qualité de l'instrumentation, l'avènement de l'informatique a incontestablement changé la donne en… (more)

Subjects/Keywords: Optimisation; Imagerie acoustique; Problème inverse; GPU; Calcul haute performance; Optimization; Acoustic imaging; Inverse problem; GPU; High performance computing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bachmann, E. (2016). Imagerie ultrasonore 2D et 3D sur GPU : application au temps réel et à l'inversion de forme d'onde complète : 2D and 3D ultrasoundimaging using GPU : toward real-time and full waveform inversion. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2016TOU30133

Chicago Manual of Style (16th Edition):

Bachmann, Etienne. “Imagerie ultrasonore 2D et 3D sur GPU : application au temps réel et à l'inversion de forme d'onde complète : 2D and 3D ultrasoundimaging using GPU : toward real-time and full waveform inversion.” 2016. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed November 21, 2018. http://www.theses.fr/2016TOU30133.

MLA Handbook (7th Edition):

Bachmann, Etienne. “Imagerie ultrasonore 2D et 3D sur GPU : application au temps réel et à l'inversion de forme d'onde complète : 2D and 3D ultrasoundimaging using GPU : toward real-time and full waveform inversion.” 2016. Web. 21 Nov 2018.

Vancouver:

Bachmann E. Imagerie ultrasonore 2D et 3D sur GPU : application au temps réel et à l'inversion de forme d'onde complète : 2D and 3D ultrasoundimaging using GPU : toward real-time and full waveform inversion. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2016. [cited 2018 Nov 21]. Available from: http://www.theses.fr/2016TOU30133.

Council of Science Editors:

Bachmann E. Imagerie ultrasonore 2D et 3D sur GPU : application au temps réel et à l'inversion de forme d'onde complète : 2D and 3D ultrasoundimaging using GPU : toward real-time and full waveform inversion. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2016. Available from: http://www.theses.fr/2016TOU30133


Clemson University

9. Pallipuram krishnamani, Venkittaraman vivek. ACCELERATION OF SPIKING NEURAL NETWORKS ON SINGLE-GPU AND MULTI-GPU SYSTEMS.

Degree: MS, Computer Engineering, 2010, Clemson University

  There has been a strong interest in modeling a mammalian brain in order to study the architectural and functional principles of the brain and… (more)

Subjects/Keywords: CUDA Optimization Strategies and design methodologies; GPU/Multi-GPU; Mammalian brain simulation; Problem partitioning in multi-GPU Systems; Speed-up/Performance; Spiking Neural Networks; Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pallipuram krishnamani, V. v. (2010). ACCELERATION OF SPIKING NEURAL NETWORKS ON SINGLE-GPU AND MULTI-GPU SYSTEMS. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/791

Chicago Manual of Style (16th Edition):

Pallipuram krishnamani, Venkittaraman vivek. “ACCELERATION OF SPIKING NEURAL NETWORKS ON SINGLE-GPU AND MULTI-GPU SYSTEMS.” 2010. Masters Thesis, Clemson University. Accessed November 21, 2018. https://tigerprints.clemson.edu/all_theses/791.

MLA Handbook (7th Edition):

Pallipuram krishnamani, Venkittaraman vivek. “ACCELERATION OF SPIKING NEURAL NETWORKS ON SINGLE-GPU AND MULTI-GPU SYSTEMS.” 2010. Web. 21 Nov 2018.

Vancouver:

Pallipuram krishnamani Vv. ACCELERATION OF SPIKING NEURAL NETWORKS ON SINGLE-GPU AND MULTI-GPU SYSTEMS. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2018 Nov 21]. Available from: https://tigerprints.clemson.edu/all_theses/791.

Council of Science Editors:

Pallipuram krishnamani Vv. ACCELERATION OF SPIKING NEURAL NETWORKS ON SINGLE-GPU AND MULTI-GPU SYSTEMS. [Masters Thesis]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_theses/791


University of Florida

10. Wernsing, John Robert. Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing.

Degree: Electrical and Computer Engineering, 2012, University of Florida

 Due to power limitations and escalating cooling costs, high-performance computing systems can no longer rely on faster clock frequencies and more massive parallelism to meet… (more)

Subjects/Keywords: computing  – elastic  – fpga  – gpu  – heterogeneous  – optimization  – racecar  – speedup; Electrical and Computer Engineering

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APA (6th Edition):

Wernsing, J. R. (2012). Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044043

Chicago Manual of Style (16th Edition):

Wernsing, John Robert. “Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing.” 2012. Doctoral Dissertation, University of Florida. Accessed November 21, 2018. http://ufdc.ufl.edu/UFE0044043.

MLA Handbook (7th Edition):

Wernsing, John Robert. “Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing.” 2012. Web. 21 Nov 2018.

Vancouver:

Wernsing JR. Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2018 Nov 21]. Available from: http://ufdc.ufl.edu/UFE0044043.

Council of Science Editors:

Wernsing JR. Elastic Computing A Framework for Effective Multi-Core Heterogeneous Computing. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044043


University of California – San Diego

11. Meng, Pingfan. Learning Optimizations for Hardware Accelerated Designs.

Degree: Computer Science, 2016, University of California – San Diego

 Many emerging applications require hardware acceleration due to their growing computational intensities. These accelerated designs use heterogeneous hardware, such as GPUs, FPGAs and multi-core CPUs… (more)

Subjects/Keywords: Computer science; Design Space Exploration; FPGA; GPU; Hardware Acceleration; Machine Learning; Optimization

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APA (6th Edition):

Meng, P. (2016). Learning Optimizations for Hardware Accelerated Designs. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/84w2k2xr

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Meng, Pingfan. “Learning Optimizations for Hardware Accelerated Designs.” 2016. Thesis, University of California – San Diego. Accessed November 21, 2018. http://www.escholarship.org/uc/item/84w2k2xr.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Meng, Pingfan. “Learning Optimizations for Hardware Accelerated Designs.” 2016. Web. 21 Nov 2018.

Vancouver:

Meng P. Learning Optimizations for Hardware Accelerated Designs. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2018 Nov 21]. Available from: http://www.escholarship.org/uc/item/84w2k2xr.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Meng P. Learning Optimizations for Hardware Accelerated Designs. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/84w2k2xr

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Irvine

12. Artico, Fausto. Autonomic Software Tools that Discover and Quantify GPU Low Level Architectural Features and Machine Behaviors.

Degree: Computer Science, 2015, University of California – Irvine

 Graphics Processing Units (GPUs) are specialized hardware that was originally created to accelerate computer graphics and image processing. However, their highly parallel structure and their… (more)

Subjects/Keywords: Computer science; Computer engineering; Information science; GPU; NVIDIA; Optimization; Performance; Reverse Engineering; Speedup

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Artico, F. (2015). Autonomic Software Tools that Discover and Quantify GPU Low Level Architectural Features and Machine Behaviors. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3tq2s301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Artico, Fausto. “Autonomic Software Tools that Discover and Quantify GPU Low Level Architectural Features and Machine Behaviors.” 2015. Thesis, University of California – Irvine. Accessed November 21, 2018. http://www.escholarship.org/uc/item/3tq2s301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Artico, Fausto. “Autonomic Software Tools that Discover and Quantify GPU Low Level Architectural Features and Machine Behaviors.” 2015. Web. 21 Nov 2018.

Vancouver:

Artico F. Autonomic Software Tools that Discover and Quantify GPU Low Level Architectural Features and Machine Behaviors. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2018 Nov 21]. Available from: http://www.escholarship.org/uc/item/3tq2s301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Artico F. Autonomic Software Tools that Discover and Quantify GPU Low Level Architectural Features and Machine Behaviors. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/3tq2s301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas State University – San Marcos

13. Taheri, Saeed. A Tool for Automatic Suggestions for Irregular GPU Kernel Optimization.

Degree: MS, Computer Science, 2014, Texas State University – San Marcos

 Future computing systems, from handhelds all the way to supercomputers, will be more parallel and more heterogeneous than today’s systems to provide more performance without… (more)

Subjects/Keywords: GPU; Optimization; Irregular; Computer science; Graphics processing units; Parallel computers; Parallel processing (Electronic computers)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Taheri, S. (2014). A Tool for Automatic Suggestions for Irregular GPU Kernel Optimization. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/5380

Chicago Manual of Style (16th Edition):

Taheri, Saeed. “A Tool for Automatic Suggestions for Irregular GPU Kernel Optimization.” 2014. Masters Thesis, Texas State University – San Marcos. Accessed November 21, 2018. https://digital.library.txstate.edu/handle/10877/5380.

MLA Handbook (7th Edition):

Taheri, Saeed. “A Tool for Automatic Suggestions for Irregular GPU Kernel Optimization.” 2014. Web. 21 Nov 2018.

Vancouver:

Taheri S. A Tool for Automatic Suggestions for Irregular GPU Kernel Optimization. [Internet] [Masters thesis]. Texas State University – San Marcos; 2014. [cited 2018 Nov 21]. Available from: https://digital.library.txstate.edu/handle/10877/5380.

Council of Science Editors:

Taheri S. A Tool for Automatic Suggestions for Irregular GPU Kernel Optimization. [Masters Thesis]. Texas State University – San Marcos; 2014. Available from: https://digital.library.txstate.edu/handle/10877/5380


Washington University in St. Louis

14. Ge, Tao. Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use.

Degree: MS, Electrical & Systems Engineering, 2018, Washington University in St. Louis

  In order to transition the GPU-accelerated CT reconstruction algorithm to a more clinical environment, a graphical user interface is implemented. Some optimization methods on… (more)

Subjects/Keywords: CT reconstruction; Alternating minimization algorithm; GPU acceleration; parameter optimization; Hotelling observer; Biomedical; Engineering; Signal Processing

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APA (6th Edition):

Ge, T. (2018). Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/351

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ge, Tao. “Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use.” 2018. Thesis, Washington University in St. Louis. Accessed November 21, 2018. https://openscholarship.wustl.edu/eng_etds/351.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ge, Tao. “Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use.” 2018. Web. 21 Nov 2018.

Vancouver:

Ge T. Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use. [Internet] [Thesis]. Washington University in St. Louis; 2018. [cited 2018 Nov 21]. Available from: https://openscholarship.wustl.edu/eng_etds/351.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ge T. Optimization of GPU-Accelerated Iterative CT Reconstruction Algorithm for Clinical Use. [Thesis]. Washington University in St. Louis; 2018. Available from: https://openscholarship.wustl.edu/eng_etds/351

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Clemson University

15. Naik, Sumedh. Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter.

Degree: MS, Computer Engineering, 2012, Clemson University

  Over the past decade, computing architectures have continued to exploit multiple levels of parallelism in applications. This increased interest in parallel computing has not… (more)

Subjects/Keywords: Computer architecture; GP-GPU; High performance computing; optimization; parallel computing; performance fitness model; Computer Engineering

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APA (6th Edition):

Naik, S. (2012). Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1522

Chicago Manual of Style (16th Edition):

Naik, Sumedh. “Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter.” 2012. Masters Thesis, Clemson University. Accessed November 21, 2018. https://tigerprints.clemson.edu/all_theses/1522.

MLA Handbook (7th Edition):

Naik, Sumedh. “Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter.” 2012. Web. 21 Nov 2018.

Vancouver:

Naik S. Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter. [Internet] [Masters thesis]. Clemson University; 2012. [cited 2018 Nov 21]. Available from: https://tigerprints.clemson.edu/all_theses/1522.

Council of Science Editors:

Naik S. Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter. [Masters Thesis]. Clemson University; 2012. Available from: https://tigerprints.clemson.edu/all_theses/1522


University of Victoria

16. Jooya, Ali. GPGPU design space exploration using neural networks.

Degree: Department of Electrical and Computer Engineering, 2018, University of Victoria

 General Purpose computing on Graphic Processing Unit (GPGPU) gained atten- tion in 2006 with NVIDIA’s first Tesla Graphic Processing Unit (GPU) which could perform high… (more)

Subjects/Keywords: General Purpose computing on Graphic Processing Unit; Code Attributes; Multi-objective optimization method; GPU Architecture

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APA (6th Edition):

Jooya, A. (2018). GPGPU design space exploration using neural networks. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/10115

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jooya, Ali. “GPGPU design space exploration using neural networks.” 2018. Thesis, University of Victoria. Accessed November 21, 2018. https://dspace.library.uvic.ca//handle/1828/10115.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jooya, Ali. “GPGPU design space exploration using neural networks.” 2018. Web. 21 Nov 2018.

Vancouver:

Jooya A. GPGPU design space exploration using neural networks. [Internet] [Thesis]. University of Victoria; 2018. [cited 2018 Nov 21]. Available from: https://dspace.library.uvic.ca//handle/1828/10115.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jooya A. GPGPU design space exploration using neural networks. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/10115

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

17. Sengupta, Dipanjan. System design principles for heterogeneous resource management and scheduling in accelerator-based systems.

Degree: PhD, Computer Science, 2016, Georgia Tech

 Accelerator-based systems are making rapid inroads into becoming platforms of choice for both high end cloud services and processing irregular applications like real-world graph analytics… (more)

Subjects/Keywords: Multi-tenancy; Hierarchical scheduling; Runtime systems; Virtualization; GPU; CUDA; Graph analytics; Big data; Performance optimization; Data movement optimization; Incremental processing

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APA (6th Edition):

Sengupta, D. (2016). System design principles for heterogeneous resource management and scheduling in accelerator-based systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55607

Chicago Manual of Style (16th Edition):

Sengupta, Dipanjan. “System design principles for heterogeneous resource management and scheduling in accelerator-based systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed November 21, 2018. http://hdl.handle.net/1853/55607.

MLA Handbook (7th Edition):

Sengupta, Dipanjan. “System design principles for heterogeneous resource management and scheduling in accelerator-based systems.” 2016. Web. 21 Nov 2018.

Vancouver:

Sengupta D. System design principles for heterogeneous resource management and scheduling in accelerator-based systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/1853/55607.

Council of Science Editors:

Sengupta D. System design principles for heterogeneous resource management and scheduling in accelerator-based systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55607


Brno University of Technology

18. Tyrala, Radek. Evoluční návrh kolektivních komunikací akcelerovaný pomocí GPU .

Degree: 2012, Brno University of Technology

 Tato práce provádí analýzu existující aplikace implementující evoluční algoritmus pro plánování kolektivních komunikací a navrhuje možnosti její akcelerace s využitím obecných výpočtů na grafických čipech… (more)

Subjects/Keywords: evoluční návrh; genetický algoritmus; kolektivní komunikace; systém na čipu; propojovací síť; architektura GPU; obecné výpočty na GPU; OpenCL; paralelizace; akcelerace; optimalizace; evolutionary design; genetic algorithm; collective communications; system on a chip. interconnection network; GPU architecture; general-purpose computing on GPU; OpenCL; parallel computation; acceleration; optimization

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APA (6th Edition):

Tyrala, R. (2012). Evoluční návrh kolektivních komunikací akcelerovaný pomocí GPU . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53619

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tyrala, Radek. “Evoluční návrh kolektivních komunikací akcelerovaný pomocí GPU .” 2012. Thesis, Brno University of Technology. Accessed November 21, 2018. http://hdl.handle.net/11012/53619.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tyrala, Radek. “Evoluční návrh kolektivních komunikací akcelerovaný pomocí GPU .” 2012. Web. 21 Nov 2018.

Vancouver:

Tyrala R. Evoluční návrh kolektivních komunikací akcelerovaný pomocí GPU . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/11012/53619.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tyrala R. Evoluční návrh kolektivních komunikací akcelerovaný pomocí GPU . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/53619

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Delevacq, Audrey. Métaheuristiques pour l'optimisation combinatoire sur processeurs graphiques (GPU) : Metaheuristics for combinatorial optimization on Graphics Processing Unit (GPU).

Degree: Docteur es, Sciences - STS, 2013, Reims

Plusieurs problèmes d'optimisation combinatoire sont dits NP-difficiles et ne peuvent être résolus de façon optimale par des algorithmes exacts. Les métaheuristiques ont prouvé qu'elles pouvaient… (more)

Subjects/Keywords: Optimisation combinatoire; Problème du Voyageur de Commerce; Métaheuristiques; Recherche locale; Parallélisme; Gpu; Combinatorial optimization; Traveling Salesman Problem; Metaheuristics; Local search; Parallel computing; Gpu

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APA (6th Edition):

Delevacq, A. (2013). Métaheuristiques pour l'optimisation combinatoire sur processeurs graphiques (GPU) : Metaheuristics for combinatorial optimization on Graphics Processing Unit (GPU). (Doctoral Dissertation). Reims. Retrieved from http://www.theses.fr/2013REIMS011

Chicago Manual of Style (16th Edition):

Delevacq, Audrey. “Métaheuristiques pour l'optimisation combinatoire sur processeurs graphiques (GPU) : Metaheuristics for combinatorial optimization on Graphics Processing Unit (GPU).” 2013. Doctoral Dissertation, Reims. Accessed November 21, 2018. http://www.theses.fr/2013REIMS011.

MLA Handbook (7th Edition):

Delevacq, Audrey. “Métaheuristiques pour l'optimisation combinatoire sur processeurs graphiques (GPU) : Metaheuristics for combinatorial optimization on Graphics Processing Unit (GPU).” 2013. Web. 21 Nov 2018.

Vancouver:

Delevacq A. Métaheuristiques pour l'optimisation combinatoire sur processeurs graphiques (GPU) : Metaheuristics for combinatorial optimization on Graphics Processing Unit (GPU). [Internet] [Doctoral dissertation]. Reims; 2013. [cited 2018 Nov 21]. Available from: http://www.theses.fr/2013REIMS011.

Council of Science Editors:

Delevacq A. Métaheuristiques pour l'optimisation combinatoire sur processeurs graphiques (GPU) : Metaheuristics for combinatorial optimization on Graphics Processing Unit (GPU). [Doctoral Dissertation]. Reims; 2013. Available from: http://www.theses.fr/2013REIMS011


Brno University of Technology

20. Schery, Miroslav. Sledování pohyblivého objektu ve videu na CUDA .

Degree: 2010, Brno University of Technology

 Táto bakalářská práce se zabývá implementací algoritmu částicového filtru do technologie CUDA za účelem akcelerace jeho výpočtu. Věnuje se popisu metod sledování objektů ve videu… (more)

Subjects/Keywords: sledování objektu; zpracování obrazu; částicový filtr; histogram; CUDA; GPU; paralelizace; optimalizace; object tracking; image processing; particle filter; histogram; CUDA; GPU; parallelization; optimization

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APA (6th Edition):

Schery, M. (2010). Sledování pohyblivého objektu ve videu na CUDA . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schery, Miroslav. “Sledování pohyblivého objektu ve videu na CUDA .” 2010. Thesis, Brno University of Technology. Accessed November 21, 2018. http://hdl.handle.net/11012/55938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schery, Miroslav. “Sledování pohyblivého objektu ve videu na CUDA .” 2010. Web. 21 Nov 2018.

Vancouver:

Schery M. Sledování pohyblivého objektu ve videu na CUDA . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/11012/55938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schery M. Sledování pohyblivého objektu ve videu na CUDA . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/55938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Ploskas, Nikolaos. Hybrid optimization algorithms: implementation on GPU.

Degree: 2014, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών

Linear Programming (LP) is a significant area in the field of operations research. The simplex algorithm is one of the top ten algorithms with the… (more)

Subjects/Keywords: Γραμμικός προγραμματισμός; Βελτιστοποίηση; Αλγόριθμος Simplex; Κάρτες γραφικών; Παράλληλος προγραμματισμός; Linear programming; Optimization; Simplex algorithm; GPU; Parallel programming

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APA (6th Edition):

Ploskas, N. (2014). Hybrid optimization algorithms: implementation on GPU. (Thesis). University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Retrieved from http://hdl.handle.net/10442/hedi/35245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ploskas, Nikolaos. “Hybrid optimization algorithms: implementation on GPU.” 2014. Thesis, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Accessed November 21, 2018. http://hdl.handle.net/10442/hedi/35245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ploskas, Nikolaos. “Hybrid optimization algorithms: implementation on GPU.” 2014. Web. 21 Nov 2018.

Vancouver:

Ploskas N. Hybrid optimization algorithms: implementation on GPU. [Internet] [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2014. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/10442/hedi/35245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ploskas N. Hybrid optimization algorithms: implementation on GPU. [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2014. Available from: http://hdl.handle.net/10442/hedi/35245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Purdue University

22. Antony, Thomas. Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures.

Degree: MS, Aeronautics and Astronautics, 2014, Purdue University

  Trajectory optimization is a field which can benefit greatly from the advantages offered by parallel computing. The current state-of-the-art in trajectory optimization focuses on… (more)

Subjects/Keywords: Applied sciences; GPU programming; Indirect methods; Multiple shooting method; Optimal control; Parallel computing; Trajectory optimization; Aerospace Engineering; Computer Engineering; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Antony, T. (2014). Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/302

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Antony, Thomas. “Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures.” 2014. Thesis, Purdue University. Accessed November 21, 2018. http://docs.lib.purdue.edu/open_access_theses/302.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Antony, Thomas. “Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures.” 2014. Web. 21 Nov 2018.

Vancouver:

Antony T. Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures. [Internet] [Thesis]. Purdue University; 2014. [cited 2018 Nov 21]. Available from: http://docs.lib.purdue.edu/open_access_theses/302.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Antony T. Rapid Indirect Trajectory Optimization On Highly Parallel Computing Architectures. [Thesis]. Purdue University; 2014. Available from: http://docs.lib.purdue.edu/open_access_theses/302

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

23. Maggioni, Marco. Sparse Convex Optimization on GPUs.

Degree: 2016, University of Illinois – Chicago

 Convex optimization is a fundamental mathematical framework used for general problem solving. The computational time taken to optimize problems formulated as Linear Programming, Integer Linear… (more)

Subjects/Keywords: SpMV; GPU; Interior Point Method; Convex Optimization; Linear Programming; Integer Linear Programming; Adaptive; Conjugate Gradient; Cholesky

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APA (6th Edition):

Maggioni, M. (2016). Sparse Convex Optimization on GPUs. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/20173

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Maggioni, Marco. “Sparse Convex Optimization on GPUs.” 2016. Thesis, University of Illinois – Chicago. Accessed November 21, 2018. http://hdl.handle.net/10027/20173.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Maggioni, Marco. “Sparse Convex Optimization on GPUs.” 2016. Web. 21 Nov 2018.

Vancouver:

Maggioni M. Sparse Convex Optimization on GPUs. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/10027/20173.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maggioni M. Sparse Convex Optimization on GPUs. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/20173

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia State University

24. Aghajarian, Danial. A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing.

Degree: PhD, Computer Science, 2018, Georgia State University

  The frequently employed spatial join processing over two large layers of polygonal datasets to detect cross-layer polygon pairs (CPP) satisfying a join-predicate faces challenges… (more)

Subjects/Keywords: Spatial join processing; GPU parallel algorithm; Colocation pattern mining; Distributed heterogeneous systems; Load balancing; ILP optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aghajarian, D. (2018). A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/144

Chicago Manual of Style (16th Edition):

Aghajarian, Danial. “A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing.” 2018. Doctoral Dissertation, Georgia State University. Accessed November 21, 2018. https://scholarworks.gsu.edu/cs_diss/144.

MLA Handbook (7th Edition):

Aghajarian, Danial. “A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing.” 2018. Web. 21 Nov 2018.

Vancouver:

Aghajarian D. A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2018 Nov 21]. Available from: https://scholarworks.gsu.edu/cs_diss/144.

Council of Science Editors:

Aghajarian D. A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_diss/144


University of Illinois – Urbana-Champaign

25. Chen, Hang. Parallel implementations of probabilistic latent semantic analysis on graphic processing units.

Degree: MS, 0112, 2011, University of Illinois – Urbana-Champaign

 Probabilistic Latent Semantic Analysis (PLSA) has been successfully applied to many text mining tasks such as retrieval, clustering, summarization, etc. PLSA involves iterative computation for… (more)

Subjects/Keywords: Probabilistic latent semantic analysis (PLSA); Graphics processing unit (GPU); Compute Unified Device Architecture (CUDA); speedup; parallel; workload balance; memory schema; optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, H. (2011). Parallel implementations of probabilistic latent semantic analysis on graphic processing units. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Hang. “Parallel implementations of probabilistic latent semantic analysis on graphic processing units.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed November 21, 2018. http://hdl.handle.net/2142/18415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Hang. “Parallel implementations of probabilistic latent semantic analysis on graphic processing units.” 2011. Web. 21 Nov 2018.

Vancouver:

Chen H. Parallel implementations of probabilistic latent semantic analysis on graphic processing units. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/2142/18415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen H. Parallel implementations of probabilistic latent semantic analysis on graphic processing units. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Mexico

26. Dye, Evan T. Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA.

Degree: Mathematics & Statistics, 2015, University of New Mexico

 In this thesis we present the first, to our knowledge, implementation and performance analysis of Hermite methods on GPU accelerated systems. We give analytic background… (more)

Subjects/Keywords: GPU; Hermite; Optimization; OpenCL; CUDA; Computational; Performance; PDE; Partial Differential Equation; Analysis; Applied Mathematics; Mathematics; Numerical; NVIDIA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dye, E. T. (2015). Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/25739

Chicago Manual of Style (16th Edition):

Dye, Evan T. “Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA.” 2015. Masters Thesis, University of New Mexico. Accessed November 21, 2018. http://hdl.handle.net/1928/25739.

MLA Handbook (7th Edition):

Dye, Evan T. “Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA.” 2015. Web. 21 Nov 2018.

Vancouver:

Dye ET. Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA. [Internet] [Masters thesis]. University of New Mexico; 2015. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/1928/25739.

Council of Science Editors:

Dye ET. Performance Analysis and Optimization of Hermite Methods on NVIDIA GPUs Using CUDA. [Masters Thesis]. University of New Mexico; 2015. Available from: http://hdl.handle.net/1928/25739


Brno University of Technology

27. Pecháček, Václav. Akcelerace heuristických metod diskrétní optimalizace na GPU .

Degree: 2012, Brno University of Technology

 Práce se zabývá řešením diskrétních optimalizačních úloh. Zaměřuje se na zkrácení doby výpočtu s využitím heuristických metod a paralelismu. Teoretický základ tvoří kombinace algoritmů ant… (more)

Subjects/Keywords: akcelerace; diskrétní optimalizace; heuristika; ant colony optimization; ACO; lokální prohledávání; k-optimization; paralelní zpracování; GPU; GPGPU; Nvidia CUDA; problém obchodního cestujícího; TSP; tour-based partitioning; acceleration; discrete optimization; heuristic; ant colony optimization; ACO; local search; k-optimization; parallel processing; GPU; GPGPU; Nvidia CUDA; travelling salesman problem; TSP; tour-based partitioning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pecháček, V. (2012). Akcelerace heuristických metod diskrétní optimalizace na GPU . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pecháček, Václav. “Akcelerace heuristických metod diskrétní optimalizace na GPU .” 2012. Thesis, Brno University of Technology. Accessed November 21, 2018. http://hdl.handle.net/11012/53693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pecháček, Václav. “Akcelerace heuristických metod diskrétní optimalizace na GPU .” 2012. Web. 21 Nov 2018.

Vancouver:

Pecháček V. Akcelerace heuristických metod diskrétní optimalizace na GPU . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/11012/53693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pecháček V. Akcelerace heuristických metod diskrétní optimalizace na GPU . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/53693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Zhang, Naiyu. Cellular GPU Models to Euclidean Optimization Problems : Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem : Modèles cellulaires GPU appliquès à des problèmes d'optimisation euclidiennes : applications à l'appariement d'images stéréo, à la génération de maillages et au voyageur de commerce.

Degree: Docteur es, Informatique, 2013, Belfort-Montbéliard

 Le travail présenté dans ce mémoire étudie et propose des modèles de calcul parallèles de type cellulaire pour traiter différents problèmes d’optimisation NP-durs définis dans… (more)

Subjects/Keywords: Optimisation combinatoire; Multi-processeurs; GPU; Stéréo-vision; Maillage adaptatif; Reconstruction 3D; Problème du voyageur de commerce; Combinatorial optimization; Multiprocessors; Graphics Processing Units; GPU; Stereovision; Adaptive meshing; 3d reconstruction; Traveling salesman problem

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, N. (2013). Cellular GPU Models to Euclidean Optimization Problems : Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem : Modèles cellulaires GPU appliquès à des problèmes d'optimisation euclidiennes : applications à l'appariement d'images stéréo, à la génération de maillages et au voyageur de commerce. (Doctoral Dissertation). Belfort-Montbéliard. Retrieved from http://www.theses.fr/2013BELF0215

Chicago Manual of Style (16th Edition):

Zhang, Naiyu. “Cellular GPU Models to Euclidean Optimization Problems : Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem : Modèles cellulaires GPU appliquès à des problèmes d'optimisation euclidiennes : applications à l'appariement d'images stéréo, à la génération de maillages et au voyageur de commerce.” 2013. Doctoral Dissertation, Belfort-Montbéliard. Accessed November 21, 2018. http://www.theses.fr/2013BELF0215.

MLA Handbook (7th Edition):

Zhang, Naiyu. “Cellular GPU Models to Euclidean Optimization Problems : Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem : Modèles cellulaires GPU appliquès à des problèmes d'optimisation euclidiennes : applications à l'appariement d'images stéréo, à la génération de maillages et au voyageur de commerce.” 2013. Web. 21 Nov 2018.

Vancouver:

Zhang N. Cellular GPU Models to Euclidean Optimization Problems : Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem : Modèles cellulaires GPU appliquès à des problèmes d'optimisation euclidiennes : applications à l'appariement d'images stéréo, à la génération de maillages et au voyageur de commerce. [Internet] [Doctoral dissertation]. Belfort-Montbéliard; 2013. [cited 2018 Nov 21]. Available from: http://www.theses.fr/2013BELF0215.

Council of Science Editors:

Zhang N. Cellular GPU Models to Euclidean Optimization Problems : Applications from Stereo Matching to Structured Adaptive Meshing and Traveling Salesman Problem : Modèles cellulaires GPU appliquès à des problèmes d'optimisation euclidiennes : applications à l'appariement d'images stéréo, à la génération de maillages et au voyageur de commerce. [Doctoral Dissertation]. Belfort-Montbéliard; 2013. Available from: http://www.theses.fr/2013BELF0215

29. Bramas, Bérenger. Optimization and parallelization of the boundary element method for the wave equation in time domain : Optimisation et parallèlisation de la méthode des élements frontières pour l’équation des ondes dans le domaine temporel.

Degree: Docteur es, Informatique, 2016, Bordeaux

La méthode des éléments frontières pour l’équation des ondes (BEM) est utilisée en acoustique eten électromagnétisme pour simuler la propagation d’une onde avec une discrétisation… (more)

Subjects/Keywords: Calcul haute performance; Programmation parallèle; Optimisation; Vectorisation; GPU; Méthode des éléments frontières; Équation des ondes; Acoustique; Électromagnétisme; High-performance computing; Parallel programming; Optimization; Vectorization; GPU; Boundary element method; Wave equation; Acoustic; Electromagnetism

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bramas, B. (2016). Optimization and parallelization of the boundary element method for the wave equation in time domain : Optimisation et parallèlisation de la méthode des élements frontières pour l’équation des ondes dans le domaine temporel. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2016BORD0022

Chicago Manual of Style (16th Edition):

Bramas, Bérenger. “Optimization and parallelization of the boundary element method for the wave equation in time domain : Optimisation et parallèlisation de la méthode des élements frontières pour l’équation des ondes dans le domaine temporel.” 2016. Doctoral Dissertation, Bordeaux. Accessed November 21, 2018. http://www.theses.fr/2016BORD0022.

MLA Handbook (7th Edition):

Bramas, Bérenger. “Optimization and parallelization of the boundary element method for the wave equation in time domain : Optimisation et parallèlisation de la méthode des élements frontières pour l’équation des ondes dans le domaine temporel.” 2016. Web. 21 Nov 2018.

Vancouver:

Bramas B. Optimization and parallelization of the boundary element method for the wave equation in time domain : Optimisation et parallèlisation de la méthode des élements frontières pour l’équation des ondes dans le domaine temporel. [Internet] [Doctoral dissertation]. Bordeaux; 2016. [cited 2018 Nov 21]. Available from: http://www.theses.fr/2016BORD0022.

Council of Science Editors:

Bramas B. Optimization and parallelization of the boundary element method for the wave equation in time domain : Optimisation et parallèlisation de la méthode des élements frontières pour l’équation des ondes dans le domaine temporel. [Doctoral Dissertation]. Bordeaux; 2016. Available from: http://www.theses.fr/2016BORD0022


Brno University of Technology

30. Luner, Radek. Optimalizace renderování rozsáhlého terénu .

Degree: 2010, Brno University of Technology

 Práce se zabýva optimalizací renderování rozsáhlých terénů. Vysvětluje základní metody a datové struktury určené pro optimalizace. Popisuje principy metod ROAM, Geometrical clipmaps, GPU Based Geometrical… (more)

Subjects/Keywords: Optimalizace; terén; level of detail; frustum culling; ROAM; Goemetrical Clipmaps; GPU Based Geometry Clipmaps; GeoMipMapping; Chunked LOD; Optimization; terrain; level of detail; frustum culling; ROAM; Goemetrical Clipmaps; GPU Based Geometry Clipmaps; GeoMipMapping; Chunked LOD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Luner, R. (2010). Optimalizace renderování rozsáhlého terénu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54239

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Luner, Radek. “Optimalizace renderování rozsáhlého terénu .” 2010. Thesis, Brno University of Technology. Accessed November 21, 2018. http://hdl.handle.net/11012/54239.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Luner, Radek. “Optimalizace renderování rozsáhlého terénu .” 2010. Web. 21 Nov 2018.

Vancouver:

Luner R. Optimalizace renderování rozsáhlého terénu . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2018 Nov 21]. Available from: http://hdl.handle.net/11012/54239.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Luner R. Optimalizace renderování rozsáhlého terénu . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/54239

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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