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You searched for +publisher:"Georgia Tech" +contributor:("Vuduc, Richard"). Showing records 1 – 30 of 91 total matches.

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Georgia Tech

1. Dai, Hanjun. Learning neural algorithms with graph structures.

Degree: PhD, Computational Science and Engineering, 2020, Georgia Tech

 Graph structures, like syntax trees, social networks, and programs, are ubiquitous in many real world applications including knowledge graph inference, chemistry and social network analysis.… (more)

Subjects/Keywords: Deep learning; Graph representation learning; Structured generative modeling; Structured prediction; Reinforcement learning; Chemistry; Bioinformatics; Program understanding

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APA (6th Edition):

Dai, H. (2020). Learning neural algorithms with graph structures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62737

Chicago Manual of Style (16th Edition):

Dai, Hanjun. “Learning neural algorithms with graph structures.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/62737.

MLA Handbook (7th Edition):

Dai, Hanjun. “Learning neural algorithms with graph structures.” 2020. Web. 12 Apr 2021.

Vancouver:

Dai H. Learning neural algorithms with graph structures. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/62737.

Council of Science Editors:

Dai H. Learning neural algorithms with graph structures. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62737


Georgia Tech

2. Witte, Philipp Andre. Software and algorithms for large-scale seismic inverse problems.

Degree: PhD, Computational Science and Engineering, 2020, Georgia Tech

 Seismic imaging and parameter estimation are an import class of inverse problems with practical relevance in resource exploration, carbon control and monitoring systems for geohazards.… (more)

Subjects/Keywords: Seismic; Algorithm; Cloud; High-performance-computing; Geophysics

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APA (6th Edition):

Witte, P. A. (2020). Software and algorithms for large-scale seismic inverse problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62754

Chicago Manual of Style (16th Edition):

Witte, Philipp Andre. “Software and algorithms for large-scale seismic inverse problems.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/62754.

MLA Handbook (7th Edition):

Witte, Philipp Andre. “Software and algorithms for large-scale seismic inverse problems.” 2020. Web. 12 Apr 2021.

Vancouver:

Witte PA. Software and algorithms for large-scale seismic inverse problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/62754.

Council of Science Editors:

Witte PA. Software and algorithms for large-scale seismic inverse problems. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62754


Georgia Tech

3. Browne, Daniel C. Enabling collaborative behaviors among cubesats.

Degree: MS, Computational Science and Engineering, 2011, Georgia Tech

 Future spacecraft missions are trending towards the use of distributed systems or fractionated spacecraft. Initiatives such as DARPA's System F6 are encouraging the satellite community… (more)

Subjects/Keywords: CubeSats; Formation flying; Unmanned systems; Autonomous; On-board parallel computing; Picosatellites; Artificial satellites; Kalman filtering; Nanosatellites

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APA (6th Edition):

Browne, D. C. (2011). Enabling collaborative behaviors among cubesats. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41223

Chicago Manual of Style (16th Edition):

Browne, Daniel C. “Enabling collaborative behaviors among cubesats.” 2011. Masters Thesis, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/41223.

MLA Handbook (7th Edition):

Browne, Daniel C. “Enabling collaborative behaviors among cubesats.” 2011. Web. 12 Apr 2021.

Vancouver:

Browne DC. Enabling collaborative behaviors among cubesats. [Internet] [Masters thesis]. Georgia Tech; 2011. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/41223.

Council of Science Editors:

Browne DC. Enabling collaborative behaviors among cubesats. [Masters Thesis]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41223


Georgia Tech

4. Louhichi, Wafa. Automated surface finish inspection using convolutional neural networks.

Degree: MS, Computational Science and Engineering, 2019, Georgia Tech

 The surface finish of a machined part has an important effect on friction, wear, and aesthetics. The surface finish became a critical quality measure since… (more)

Subjects/Keywords: Automated surface finish inspection; Android app for surface finish inspection

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APA (6th Edition):

Louhichi, W. (2019). Automated surface finish inspection using convolutional neural networks. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61241

Chicago Manual of Style (16th Edition):

Louhichi, Wafa. “Automated surface finish inspection using convolutional neural networks.” 2019. Masters Thesis, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/61241.

MLA Handbook (7th Edition):

Louhichi, Wafa. “Automated surface finish inspection using convolutional neural networks.” 2019. Web. 12 Apr 2021.

Vancouver:

Louhichi W. Automated surface finish inspection using convolutional neural networks. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/61241.

Council of Science Editors:

Louhichi W. Automated surface finish inspection using convolutional neural networks. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61241


Georgia Tech

5. Sachdeva, Vipin. Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences.

Degree: PhD, Computational Science and Engineering, 2018, Georgia Tech

 Next-generation sequencing technologies have led to a big data age in biology. Since the sequencing of the human genome, the primary bottleneck has steadily moved… (more)

Subjects/Keywords: HPC; Parallel algorithms; Transcriptome assembly; Error correction

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APA (6th Edition):

Sachdeva, V. (2018). Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62612

Chicago Manual of Style (16th Edition):

Sachdeva, Vipin. “Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences.” 2018. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/62612.

MLA Handbook (7th Edition):

Sachdeva, Vipin. “Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences.” 2018. Web. 12 Apr 2021.

Vancouver:

Sachdeva V. Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/62612.

Council of Science Editors:

Sachdeva V. Efficient parallel algorithms for error correction and transcriptome assembly of biological sequences. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/62612


Georgia Tech

6. Li, Muyuan. Fault-tolerance on near-term quantum computers and subsystem quantum error correcting codes.

Degree: PhD, Computational Science and Engineering, 2020, Georgia Tech

 Large-scale fault-tolerant quantum computers are supposed to provide exponential speedup over many classical algorithms for solving realistic computationally intensive problems. Given that practical quantum computers… (more)

Subjects/Keywords: Quantum computing; Quantum error correction; Ion trap

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APA (6th Edition):

Li, M. (2020). Fault-tolerance on near-term quantum computers and subsystem quantum error correcting codes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62750

Chicago Manual of Style (16th Edition):

Li, Muyuan. “Fault-tolerance on near-term quantum computers and subsystem quantum error correcting codes.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/62750.

MLA Handbook (7th Edition):

Li, Muyuan. “Fault-tolerance on near-term quantum computers and subsystem quantum error correcting codes.” 2020. Web. 12 Apr 2021.

Vancouver:

Li M. Fault-tolerance on near-term quantum computers and subsystem quantum error correcting codes. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/62750.

Council of Science Editors:

Li M. Fault-tolerance on near-term quantum computers and subsystem quantum error correcting codes. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62750


Georgia Tech

7. Chen, Xin. 5-axis coverage path planning with deep reinforcement learning and fast parallel collision detection.

Degree: PhD, Computer Science, 2020, Georgia Tech

 5-axis machining is a strategy that allows computer numerical control (CNC) move an object or cutting tool along five different axes (X, Y, Z and… (more)

Subjects/Keywords: Coverage path planning; Collision detection; Deep reinforcement learning

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APA (6th Edition):

Chen, X. (2020). 5-axis coverage path planning with deep reinforcement learning and fast parallel collision detection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62825

Chicago Manual of Style (16th Edition):

Chen, Xin. “5-axis coverage path planning with deep reinforcement learning and fast parallel collision detection.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/62825.

MLA Handbook (7th Edition):

Chen, Xin. “5-axis coverage path planning with deep reinforcement learning and fast parallel collision detection.” 2020. Web. 12 Apr 2021.

Vancouver:

Chen X. 5-axis coverage path planning with deep reinforcement learning and fast parallel collision detection. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/62825.

Council of Science Editors:

Chen X. 5-axis coverage path planning with deep reinforcement learning and fast parallel collision detection. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62825


Georgia Tech

8. Wolfson-Pou, Jordi. Asynchronous versions of Jacobi, multigrid, and Chebyshev solvers.

Degree: PhD, Computational Science and Engineering, 2020, Georgia Tech

 Iterative methods are commonly used for solving large, sparse systems of linear equations on parallel computers. Implementations of parallel iterative solvers contain kernels (e.g., parallel… (more)

Subjects/Keywords: Iterative solvers; Sparse linear systems; Asynchronous methods; Parallel algorithms; Jacobi; Gauss-Seidel; Southwell; Multigrid; Chebyshev

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APA (6th Edition):

Wolfson-Pou, J. (2020). Asynchronous versions of Jacobi, multigrid, and Chebyshev solvers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63624

Chicago Manual of Style (16th Edition):

Wolfson-Pou, Jordi. “Asynchronous versions of Jacobi, multigrid, and Chebyshev solvers.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/63624.

MLA Handbook (7th Edition):

Wolfson-Pou, Jordi. “Asynchronous versions of Jacobi, multigrid, and Chebyshev solvers.” 2020. Web. 12 Apr 2021.

Vancouver:

Wolfson-Pou J. Asynchronous versions of Jacobi, multigrid, and Chebyshev solvers. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/63624.

Council of Science Editors:

Wolfson-Pou J. Asynchronous versions of Jacobi, multigrid, and Chebyshev solvers. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63624


Georgia Tech

9. Zhu, Yuanzheng. Multi-scale computational modeling of particle adhesion dynamics under shear flow.

Degree: PhD, Mechanical Engineering, 2019, Georgia Tech

 Challenging questions exist in the understanding of particulate adhesion process in biological and industrial flows since these problems require modeling a wide range of spatiotemporal… (more)

Subjects/Keywords: Particle adhesion dynamics; Computational fluid dynamics; Thrombosis; Numerical methods; Blood flow; Computational biology; Multi-scale modeling

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APA (6th Edition):

Zhu, Y. (2019). Multi-scale computational modeling of particle adhesion dynamics under shear flow. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63565

Chicago Manual of Style (16th Edition):

Zhu, Yuanzheng. “Multi-scale computational modeling of particle adhesion dynamics under shear flow.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/63565.

MLA Handbook (7th Edition):

Zhu, Yuanzheng. “Multi-scale computational modeling of particle adhesion dynamics under shear flow.” 2019. Web. 12 Apr 2021.

Vancouver:

Zhu Y. Multi-scale computational modeling of particle adhesion dynamics under shear flow. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/63565.

Council of Science Editors:

Zhu Y. Multi-scale computational modeling of particle adhesion dynamics under shear flow. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/63565


Georgia Tech

10. Chatterjee, Anirban. A methodology for quantifying and improving pavement condition estimation and forecasting by integrating smartphone and 3D laser data.

Degree: PhD, Civil and Environmental Engineering, 2019, Georgia Tech

 This thesis aims to combine data from accurate but expensive 3D laser scanners and inexpensive smartphones for improving pavement condition estimation and forecasting using both… (more)

Subjects/Keywords: Pavement condition; Smartphone; 3D pavement data; Recurrent neural networks

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APA (6th Edition):

Chatterjee, A. (2019). A methodology for quantifying and improving pavement condition estimation and forecasting by integrating smartphone and 3D laser data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63550

Chicago Manual of Style (16th Edition):

Chatterjee, Anirban. “A methodology for quantifying and improving pavement condition estimation and forecasting by integrating smartphone and 3D laser data.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/63550.

MLA Handbook (7th Edition):

Chatterjee, Anirban. “A methodology for quantifying and improving pavement condition estimation and forecasting by integrating smartphone and 3D laser data.” 2019. Web. 12 Apr 2021.

Vancouver:

Chatterjee A. A methodology for quantifying and improving pavement condition estimation and forecasting by integrating smartphone and 3D laser data. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/63550.

Council of Science Editors:

Chatterjee A. A methodology for quantifying and improving pavement condition estimation and forecasting by integrating smartphone and 3D laser data. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/63550


Georgia Tech

11. Keshava Iyer, Kartik P. Studies of turbulence structure and turbulent mixing using petascale computing.

Degree: PhD, Aerospace Engineering, 2014, Georgia Tech

 A large direct numerical simulation database spanning a wide range of Reynolds and Schmidt number is used to examine fundamental laws governing passive scalar mixing… (more)

Subjects/Keywords: Turbulence; Direct numerical simulations

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APA (6th Edition):

Keshava Iyer, K. P. (2014). Studies of turbulence structure and turbulent mixing using petascale computing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52260

Chicago Manual of Style (16th Edition):

Keshava Iyer, Kartik P. “Studies of turbulence structure and turbulent mixing using petascale computing.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/52260.

MLA Handbook (7th Edition):

Keshava Iyer, Kartik P. “Studies of turbulence structure and turbulent mixing using petascale computing.” 2014. Web. 12 Apr 2021.

Vancouver:

Keshava Iyer KP. Studies of turbulence structure and turbulent mixing using petascale computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/52260.

Council of Science Editors:

Keshava Iyer KP. Studies of turbulence structure and turbulent mixing using petascale computing. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52260


Georgia Tech

12. Ravichandran, Kaushik. Programming frameworks for performance driven speculative parallelization.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Effectively utilizing available parallelism is becoming harder and harder as systems evolve to many-core processors with many tens of cores per chip. Automatically extracting parallelism… (more)

Subjects/Keywords: Speculation; Transactional memory

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APA (6th Edition):

Ravichandran, K. (2014). Programming frameworks for performance driven speculative parallelization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52985

Chicago Manual of Style (16th Edition):

Ravichandran, Kaushik. “Programming frameworks for performance driven speculative parallelization.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/52985.

MLA Handbook (7th Edition):

Ravichandran, Kaushik. “Programming frameworks for performance driven speculative parallelization.” 2014. Web. 12 Apr 2021.

Vancouver:

Ravichandran K. Programming frameworks for performance driven speculative parallelization. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/52985.

Council of Science Editors:

Ravichandran K. Programming frameworks for performance driven speculative parallelization. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52985


Georgia Tech

13. Tomita, Yu. Numerical and analytical studies of quantum error correction.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

 A reliable large-scale quantum computer, if built, can solve many real-life problems exponentially faster than the existing digital devices. The biggest obstacle to building one… (more)

Subjects/Keywords: Quantum computation

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APA (6th Edition):

Tomita, Y. (2014). Numerical and analytical studies of quantum error correction. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53468

Chicago Manual of Style (16th Edition):

Tomita, Yu. “Numerical and analytical studies of quantum error correction.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/53468.

MLA Handbook (7th Edition):

Tomita, Yu. “Numerical and analytical studies of quantum error correction.” 2014. Web. 12 Apr 2021.

Vancouver:

Tomita Y. Numerical and analytical studies of quantum error correction. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/53468.

Council of Science Editors:

Tomita Y. Numerical and analytical studies of quantum error correction. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53468


Georgia Tech

14. Kang, Seunghwa. On the design of architecture-aware algorithms for emerging applications.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 This dissertation maps various kernels and applications to a spectrum of programming models and architectures and also presents architecture-aware algorithms for different systems. The kernels… (more)

Subjects/Keywords: MapReduce; Nested parallelism; Parallel algorithm; Algorithm engineering; Performance tuning; GPU; Transactional memory; Algorithms; Parallel algorithms; Multiprocessors

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APA (6th Edition):

Kang, S. (2011). On the design of architecture-aware algorithms for emerging applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39503

Chicago Manual of Style (16th Edition):

Kang, Seunghwa. “On the design of architecture-aware algorithms for emerging applications.” 2011. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/39503.

MLA Handbook (7th Edition):

Kang, Seunghwa. “On the design of architecture-aware algorithms for emerging applications.” 2011. Web. 12 Apr 2021.

Vancouver:

Kang S. On the design of architecture-aware algorithms for emerging applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/39503.

Council of Science Editors:

Kang S. On the design of architecture-aware algorithms for emerging applications. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39503


Georgia Tech

15. Yin, Zhaoming. Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms.

Degree: PhD, Computer Science, 2014, Georgia Tech

 The advent of new technology enhance the speed and reduce the cost for sequencing biological data. Making biological sense of this genomic data is a… (more)

Subjects/Keywords: Maximum parsimony phylogeny; DCJ distance; DCJ median; Parallel branch-and-bound; Algorithms; Phylogeny; Cladistic analysis; Nucleotide sequence; Sequence alignment (Bioinformatics); Genomics; Combinatorial optimization

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APA (6th Edition):

Yin, Z. (2014). Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51875

Chicago Manual of Style (16th Edition):

Yin, Zhaoming. “Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/51875.

MLA Handbook (7th Edition):

Yin, Zhaoming. “Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms.” 2014. Web. 12 Apr 2021.

Vancouver:

Yin Z. Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/51875.

Council of Science Editors:

Yin Z. Enhance the understanding of whole-genome evolution by designing, accelerating and parallelizing phylogenetic algorithms. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51875


Georgia Tech

16. Ge, Qi. On the effect of Lyman alpha trapping during the initial collapse of massive black hole seeds.

Degree: PhD, Physics, 2018, Georgia Tech

 One viable seeding mechanism for supermassive black holes is the direct gaseous collapse route in pre-galactic dark matter halos, producing objects on the order of… (more)

Subjects/Keywords: Lyman alpha; SMBH formation

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APA (6th Edition):

Ge, Q. (2018). On the effect of Lyman alpha trapping during the initial collapse of massive black hole seeds. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59872

Chicago Manual of Style (16th Edition):

Ge, Qi. “On the effect of Lyman alpha trapping during the initial collapse of massive black hole seeds.” 2018. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/59872.

MLA Handbook (7th Edition):

Ge, Qi. “On the effect of Lyman alpha trapping during the initial collapse of massive black hole seeds.” 2018. Web. 12 Apr 2021.

Vancouver:

Ge Q. On the effect of Lyman alpha trapping during the initial collapse of massive black hole seeds. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/59872.

Council of Science Editors:

Ge Q. On the effect of Lyman alpha trapping during the initial collapse of massive black hole seeds. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59872


Georgia Tech

17. Flick, Patrick. Parallel and scalable combinatorial string algorithms on distributed memory systems.

Degree: PhD, Computational Science and Engineering, 2019, Georgia Tech

 Methods for processing and analyzing DNA and genomic data are built upon combinatorial graph and string algorithms. The advent of high-throughput DNA sequencing is enabling… (more)

Subjects/Keywords: Distributed memory; Suffix array; Suffix tree; Enhanced suffix arrays; De Bruijn graphs; Distributed graphs; Connected components

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APA (6th Edition):

Flick, P. (2019). Parallel and scalable combinatorial string algorithms on distributed memory systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61257

Chicago Manual of Style (16th Edition):

Flick, Patrick. “Parallel and scalable combinatorial string algorithms on distributed memory systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/61257.

MLA Handbook (7th Edition):

Flick, Patrick. “Parallel and scalable combinatorial string algorithms on distributed memory systems.” 2019. Web. 12 Apr 2021.

Vancouver:

Flick P. Parallel and scalable combinatorial string algorithms on distributed memory systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/61257.

Council of Science Editors:

Flick P. Parallel and scalable combinatorial string algorithms on distributed memory systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61257


Georgia Tech

18. Czechowski, Kenneth. Diagnosing performance bottlenecks in HPC applications.

Degree: PhD, Computational Science and Engineering, 2019, Georgia Tech

 The software performance optimizations process is one of the most challenging aspects of developing highly performant code because underlying performance limitations are hard to diagnose.… (more)

Subjects/Keywords: HPC

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APA (6th Edition):

Czechowski, K. (2019). Diagnosing performance bottlenecks in HPC applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61261

Chicago Manual of Style (16th Edition):

Czechowski, Kenneth. “Diagnosing performance bottlenecks in HPC applications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/61261.

MLA Handbook (7th Edition):

Czechowski, Kenneth. “Diagnosing performance bottlenecks in HPC applications.” 2019. Web. 12 Apr 2021.

Vancouver:

Czechowski K. Diagnosing performance bottlenecks in HPC applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/61261.

Council of Science Editors:

Czechowski K. Diagnosing performance bottlenecks in HPC applications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61261


Georgia Tech

19. Jammula, Nagakishore. Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of this research is to develop parallel algorithms for enabling fast and scalable analysis of large-scale high-throughput sequencing datasets. Genome of an organism… (more)

Subjects/Keywords: High-throughput sequencing; Parallel algorithms

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APA (6th Edition):

Jammula, N. (2019). Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61740

Chicago Manual of Style (16th Edition):

Jammula, Nagakishore. “Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/61740.

MLA Handbook (7th Edition):

Jammula, Nagakishore. “Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets.” 2019. Web. 12 Apr 2021.

Vancouver:

Jammula N. Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/61740.

Council of Science Editors:

Jammula N. Parallel algorithms for enabling fast and scalable analysis of high-throughput sequencing datasets. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61740


Georgia Tech

20. Kersey, Chad Daniel. A multi-paradigm C++-based hardware description language.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 A generative hardware description library for C++, the CHDL Hardware Design Library or CHDL, along with a body of supporting libraries and a description of… (more)

Subjects/Keywords: Hardware description language; HDL; Domain-specific language; High-level synthesis

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APA (6th Edition):

Kersey, C. D. (2019). A multi-paradigm C++-based hardware description language. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62342

Chicago Manual of Style (16th Edition):

Kersey, Chad Daniel. “A multi-paradigm C++-based hardware description language.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/62342.

MLA Handbook (7th Edition):

Kersey, Chad Daniel. “A multi-paradigm C++-based hardware description language.” 2019. Web. 12 Apr 2021.

Vancouver:

Kersey CD. A multi-paradigm C++-based hardware description language. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/62342.

Council of Science Editors:

Kersey CD. A multi-paradigm C++-based hardware description language. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62342


Georgia Tech

21. Roy, Indranil. Algorithmic techniques for the micron automata processor.

Degree: PhD, Computational Science and Engineering, 2015, Georgia Tech

 Our research is the first in-depth study in the use of the Micron Automata Processor, a novel re-configurable streaming co-processor which is purpose-built to execute… (more)

Subjects/Keywords: Automata processing; Bioinformatics; High performance algorithm design

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APA (6th Edition):

Roy, I. (2015). Algorithmic techniques for the micron automata processor. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53845

Chicago Manual of Style (16th Edition):

Roy, Indranil. “Algorithmic techniques for the micron automata processor.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/53845.

MLA Handbook (7th Edition):

Roy, Indranil. “Algorithmic techniques for the micron automata processor.” 2015. Web. 12 Apr 2021.

Vancouver:

Roy I. Algorithmic techniques for the micron automata processor. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/53845.

Council of Science Editors:

Roy I. Algorithmic techniques for the micron automata processor. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53845


Georgia Tech

22. Howell, Aaron W. Evaporation and disintegration of heated thin liquid sheets.

Degree: PhD, Mechanical Engineering, 2015, Georgia Tech

 In this study, a numerical model is used to investigate the evaporation and flow characteristics of heated liquid sheets and films. The liquid is modeled… (more)

Subjects/Keywords: Falling film; Liquid curtain; Thin sheets; Black liquor

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APA (6th Edition):

Howell, A. W. (2015). Evaporation and disintegration of heated thin liquid sheets. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53861

Chicago Manual of Style (16th Edition):

Howell, Aaron W. “Evaporation and disintegration of heated thin liquid sheets.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/53861.

MLA Handbook (7th Edition):

Howell, Aaron W. “Evaporation and disintegration of heated thin liquid sheets.” 2015. Web. 12 Apr 2021.

Vancouver:

Howell AW. Evaporation and disintegration of heated thin liquid sheets. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/53861.

Council of Science Editors:

Howell AW. Evaporation and disintegration of heated thin liquid sheets. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53861


Georgia Tech

23. Farooqui, Naila. Runtime specialization for heterogeneous CPU-GPU platforms.

Degree: PhD, Computer Science, 2015, Georgia Tech

 Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute fabric for performance-hungry developers. While these platforms enable order-of-magnitude performance increases… (more)

Subjects/Keywords: Dynamic instrumentation; Dynamic compilation; GPU computing; Heterogeneous computing; Profile-guided optimizations; Program analysis; Workload characterization; Compiler; Runtime; Multicore; CUDA; OpenCL; SIMD

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APA (6th Edition):

Farooqui, N. (2015). Runtime specialization for heterogeneous CPU-GPU platforms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54915

Chicago Manual of Style (16th Edition):

Farooqui, Naila. “Runtime specialization for heterogeneous CPU-GPU platforms.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/54915.

MLA Handbook (7th Edition):

Farooqui, Naila. “Runtime specialization for heterogeneous CPU-GPU platforms.” 2015. Web. 12 Apr 2021.

Vancouver:

Farooqui N. Runtime specialization for heterogeneous CPU-GPU platforms. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/54915.

Council of Science Editors:

Farooqui N. Runtime specialization for heterogeneous CPU-GPU platforms. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54915


Georgia Tech

24. Kannan, Ramakrishnan. Scalable and distributed constrained low rank approximations.

Degree: PhD, Computational Science and Engineering, 2016, Georgia Tech

 Low rank approximation is the problem of finding two low rank factors W and H such that the rank(WH) << rank(A) and A ≈ WH.… (more)

Subjects/Keywords: Distributed; Scalable; NMF; Communication avoiding; HPC; Low rank approximation

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APA (6th Edition):

Kannan, R. (2016). Scalable and distributed constrained low rank approximations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54962

Chicago Manual of Style (16th Edition):

Kannan, Ramakrishnan. “Scalable and distributed constrained low rank approximations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/54962.

MLA Handbook (7th Edition):

Kannan, Ramakrishnan. “Scalable and distributed constrained low rank approximations.” 2016. Web. 12 Apr 2021.

Vancouver:

Kannan R. Scalable and distributed constrained low rank approximations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/54962.

Council of Science Editors:

Kannan R. Scalable and distributed constrained low rank approximations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54962


Georgia Tech

25. Fairbanks, James Paul. Graph analysis combining numerical, statistical, and streaming techniques.

Degree: PhD, Computational Science and Engineering, 2016, Georgia Tech

 Graph analysis uses graph data collected on a physical, biological, or social phenomena to shed light on the underlying dynamics and behavior of the agents… (more)

Subjects/Keywords: Graph analysis; Graph algorithms; Data analysis; Spectral clustering; Numerical analysis

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APA (6th Edition):

Fairbanks, J. P. (2016). Graph analysis combining numerical, statistical, and streaming techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54972

Chicago Manual of Style (16th Edition):

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/54972.

MLA Handbook (7th Edition):

Fairbanks, James Paul. “Graph analysis combining numerical, statistical, and streaming techniques.” 2016. Web. 12 Apr 2021.

Vancouver:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/54972.

Council of Science Editors:

Fairbanks JP. Graph analysis combining numerical, statistical, and streaming techniques. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54972


Georgia Tech

26. Kumar, Tushar. Characterizing and controlling program behavior using execution-time variance.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 Immersive applications, such as computer gaming, computer vision and video codecs, are an important emerging class of applications with QoS requirements that are difficult to… (more)

Subjects/Keywords: Profiling; QoS tuning; Adaptive control; Optimal control; Gain scheduling; LQR; Machine learning; System identification; Parameter estimation; Online training; Multimedia; Video; Gaming; Computer vision; Statistical analysis; Best effort; Probabilistic; Program analysis; Linear fit; Dynamic tuning

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APA (6th Edition):

Kumar, T. (2016). Characterizing and controlling program behavior using execution-time variance. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55000

Chicago Manual of Style (16th Edition):

Kumar, Tushar. “Characterizing and controlling program behavior using execution-time variance.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/55000.

MLA Handbook (7th Edition):

Kumar, Tushar. “Characterizing and controlling program behavior using execution-time variance.” 2016. Web. 12 Apr 2021.

Vancouver:

Kumar T. Characterizing and controlling program behavior using execution-time variance. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/55000.

Council of Science Editors:

Kumar T. Characterizing and controlling program behavior using execution-time variance. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55000


Georgia Tech

27. Henneking, Stefan. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.

Degree: MS, Computational Science and Engineering, 2016, Georgia Tech

 In a parallel vertex-centered finite element multigrid solver, segmental refinement can be used to avoid all inter-process communication on the fine grids. While domain decomposition… (more)

Subjects/Keywords: Multigrid; Segmental refinement; Communication-avoiding

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APA (6th Edition):

Henneking, S. (2016). Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55050

Chicago Manual of Style (16th Edition):

Henneking, Stefan. “Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.” 2016. Masters Thesis, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/55050.

MLA Handbook (7th Edition):

Henneking, Stefan. “Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.” 2016. Web. 12 Apr 2021.

Vancouver:

Henneking S. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/55050.

Council of Science Editors:

Henneking S. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55050


Georgia Tech

28. Kinsey, Matthew Christopher. General Relativistic Smoothed Particle Hydrodynamics: a Multi-Scale Formulation of Fluid Flow in Numerical Relativity.

Degree: PhD, Physics, 2016, Georgia Tech

 With the recent first detection of gravitational waves, numerical relativity provides us with the most promising tools of astronomical discovery, particularly for strong dynamical gravity… (more)

Subjects/Keywords: Numerical Relativity; Hydrodynamics; General Relativity; Smoothed Particle Hydrodynamics; Hierarchical Spatial Hashing; Parallel Computing

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APA (6th Edition):

Kinsey, M. C. (2016). General Relativistic Smoothed Particle Hydrodynamics: a Multi-Scale Formulation of Fluid Flow in Numerical Relativity. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55557

Chicago Manual of Style (16th Edition):

Kinsey, Matthew Christopher. “General Relativistic Smoothed Particle Hydrodynamics: a Multi-Scale Formulation of Fluid Flow in Numerical Relativity.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/55557.

MLA Handbook (7th Edition):

Kinsey, Matthew Christopher. “General Relativistic Smoothed Particle Hydrodynamics: a Multi-Scale Formulation of Fluid Flow in Numerical Relativity.” 2016. Web. 12 Apr 2021.

Vancouver:

Kinsey MC. General Relativistic Smoothed Particle Hydrodynamics: a Multi-Scale Formulation of Fluid Flow in Numerical Relativity. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/55557.

Council of Science Editors:

Kinsey MC. General Relativistic Smoothed Particle Hydrodynamics: a Multi-Scale Formulation of Fluid Flow in Numerical Relativity. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55557


Georgia Tech

29. Hassan, Syed Minhaj. Exploiting on-chip memory concurrency in 3d manycore architectures.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of this thesis is to optimize the uncore of 3D many-core architectures. More specifically, we note that technology trends point to large increases… (more)

Subjects/Keywords: 3D memory systems; Network-on-chip; 3D system thermal analysis; Memory-level parallelism; DRAM

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APA (6th Edition):

Hassan, S. M. (2016). Exploiting on-chip memory concurrency in 3d manycore architectures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56251

Chicago Manual of Style (16th Edition):

Hassan, Syed Minhaj. “Exploiting on-chip memory concurrency in 3d manycore architectures.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/56251.

MLA Handbook (7th Edition):

Hassan, Syed Minhaj. “Exploiting on-chip memory concurrency in 3d manycore architectures.” 2016. Web. 12 Apr 2021.

Vancouver:

Hassan SM. Exploiting on-chip memory concurrency in 3d manycore architectures. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/56251.

Council of Science Editors:

Hassan SM. Exploiting on-chip memory concurrency in 3d manycore architectures. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56251


Georgia Tech

30. Wang, Jin. Acceleration and optimization of dynamic parallelism for irregular applications on GPUs.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of this thesis is the development, implementation and optimization of a GPU execution model extension that efficiently supports time-varying, nested, fine-grained dynamic parallelism… (more)

Subjects/Keywords: General-purpose GPU; Dynamic parallelism; Irregular applications

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APA (6th Edition):

Wang, J. (2016). Acceleration and optimization of dynamic parallelism for irregular applications on GPUs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56294

Chicago Manual of Style (16th Edition):

Wang, Jin. “Acceleration and optimization of dynamic parallelism for irregular applications on GPUs.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 12, 2021. http://hdl.handle.net/1853/56294.

MLA Handbook (7th Edition):

Wang, Jin. “Acceleration and optimization of dynamic parallelism for irregular applications on GPUs.” 2016. Web. 12 Apr 2021.

Vancouver:

Wang J. Acceleration and optimization of dynamic parallelism for irregular applications on GPUs. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 12]. Available from: http://hdl.handle.net/1853/56294.

Council of Science Editors:

Wang J. Acceleration and optimization of dynamic parallelism for irregular applications on GPUs. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56294

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