Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

Dept: Computer Engineering

You searched for subject:(Parallel Computing). Showing records 1 – 10 of 10 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Texas A&M University

1. Hoxha, Dielli. Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.

Degree: MS, Computer Engineering, 2016, Texas A&M University

 Applications of matrices are found in most scienti?c ?elds, such as physics, computer graphics, numerical analysis, etc. The high applicability of matrix algorithms and representations… (more)

Subjects/Keywords: Parallel Computing; Sparse Matrix

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hoxha, D. (2016). Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157157

Chicago Manual of Style (16th Edition):

Hoxha, Dielli. “Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.” 2016. Masters Thesis, Texas A&M University. Accessed October 19, 2018. http://hdl.handle.net/1969.1/157157.

MLA Handbook (7th Edition):

Hoxha, Dielli. “Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework.” 2016. Web. 19 Oct 2018.

Vancouver:

Hoxha D. Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2018 Oct 19]. Available from: http://hdl.handle.net/1969.1/157157.

Council of Science Editors:

Hoxha D. Sparse Matrices and Summa Matrix Multiplication Algorithm in STAPL Matrix Framework. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157157


Rochester Institute of Technology

2. Doughty, Philip, Jr. A Generic attack on CubeHash, a SHA-3 candidate.

Degree: Computer Engineering, 2010, Rochester Institute of Technology

 A secure cryptographic hashing function should be resistant to three different scenarios: First, a cryptographic hashing function must be preimage resistant, that is, it should… (more)

Subjects/Keywords: Cryptographic halgorithm; Cryptography; Distributed computing; FPGA; Parallel computing; PowerPC

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Doughty, Philip, J. (2010). A Generic attack on CubeHash, a SHA-3 candidate. (Thesis). Rochester Institute of Technology. Retrieved from http://scholarworks.rit.edu/theses/3198

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):

Doughty, Philip, Jr. “A Generic attack on CubeHash, a SHA-3 candidate.” 2010. Thesis, Rochester Institute of Technology. Accessed October 19, 2018. http://scholarworks.rit.edu/theses/3198.

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

MLA Handbook (7th Edition):

Doughty, Philip, Jr. “A Generic attack on CubeHash, a SHA-3 candidate.” 2010. Web. 19 Oct 2018.

Vancouver:

Doughty, Philip J. A Generic attack on CubeHash, a SHA-3 candidate. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2018 Oct 19]. Available from: http://scholarworks.rit.edu/theses/3198.

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

Council of Science Editors:

Doughty, Philip J. A Generic attack on CubeHash, a SHA-3 candidate. [Thesis]. Rochester Institute of Technology; 2010. Available from: http://scholarworks.rit.edu/theses/3198

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


Clemson University

3. Settlemyer, Bradley. A Study of Client-based Caching for Parallel I/O.

Degree: PhD, Computer Engineering, 2009, Clemson University

 The trend in parallel computing toward large-scale cluster computers running thousands of cooperating processes per application has led to an I/O bottleneck that has only… (more)

Subjects/Keywords: Caching; File Systems; High Performance Computing; Parallel File Systems; Parallel I/O; Storage; Computer Sciences

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Settlemyer, B. (2009). A Study of Client-based Caching for Parallel I/O. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/396

Chicago Manual of Style (16th Edition):

Settlemyer, Bradley. “A Study of Client-based Caching for Parallel I/O.” 2009. Doctoral Dissertation, Clemson University. Accessed October 19, 2018. https://tigerprints.clemson.edu/all_dissertations/396.

MLA Handbook (7th Edition):

Settlemyer, Bradley. “A Study of Client-based Caching for Parallel I/O.” 2009. Web. 19 Oct 2018.

Vancouver:

Settlemyer B. A Study of Client-based Caching for Parallel I/O. [Internet] [Doctoral dissertation]. Clemson University; 2009. [cited 2018 Oct 19]. Available from: https://tigerprints.clemson.edu/all_dissertations/396.

Council of Science Editors:

Settlemyer B. A Study of Client-based Caching for Parallel I/O. [Doctoral Dissertation]. Clemson University; 2009. Available from: https://tigerprints.clemson.edu/all_dissertations/396


Clemson University

4. Rice, Kenneth. FPGA ACCELERATION OF A CORTICAL AND A MATCHED FILTER-BASED ALGORITHM.

Degree: MS, Computer Engineering, 2008, Clemson University

 Digital image processing is a widely used and diverse field. It is used in a broad array of areas such as tracking and detection, object… (more)

Subjects/Keywords: Reconfigurable computing; pattern recognition; cognitive algorithms; performance scaling; parallel computing; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rice, K. (2008). FPGA ACCELERATION OF A CORTICAL AND A MATCHED FILTER-BASED ALGORITHM. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/418

Chicago Manual of Style (16th Edition):

Rice, Kenneth. “FPGA ACCELERATION OF A CORTICAL AND A MATCHED FILTER-BASED ALGORITHM.” 2008. Masters Thesis, Clemson University. Accessed October 19, 2018. https://tigerprints.clemson.edu/all_theses/418.

MLA Handbook (7th Edition):

Rice, Kenneth. “FPGA ACCELERATION OF A CORTICAL AND A MATCHED FILTER-BASED ALGORITHM.” 2008. Web. 19 Oct 2018.

Vancouver:

Rice K. FPGA ACCELERATION OF A CORTICAL AND A MATCHED FILTER-BASED ALGORITHM. [Internet] [Masters thesis]. Clemson University; 2008. [cited 2018 Oct 19]. Available from: https://tigerprints.clemson.edu/all_theses/418.

Council of Science Editors:

Rice K. FPGA ACCELERATION OF A CORTICAL AND A MATCHED FILTER-BASED ALGORITHM. [Masters Thesis]. Clemson University; 2008. Available from: https://tigerprints.clemson.edu/all_theses/418


Clemson University

5. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 October 19, 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. 19 Oct 2018.

Vancouver:

Naik S. Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter. [Internet] [Masters thesis]. Clemson University; 2012. [cited 2018 Oct 19]. 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 Tennessee – Knoxville

6. Weber III, Frederick E. PERFORMANCE EVALUATION OF MEMORY AND COMPUTATIONALLY BOUND CHEMISTRY APPLICATIONS ON STREAMING GPGPUS AND MULTI-CORE X86 CPUS.

Degree: MS, Computer Engineering, 2010, University of Tennessee – Knoxville

 In recent years, multi-core processors have come to dominate the field in desktop and high performance computing. Graphics processors traditionally used in CAD, video games,… (more)

Subjects/Keywords: GPU; multi-core; Monte Carlo; parallel computing; Computer and Systems Architecture

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Weber III, F. E. (2010). PERFORMANCE EVALUATION OF MEMORY AND COMPUTATIONALLY BOUND CHEMISTRY APPLICATIONS ON STREAMING GPGPUS AND MULTI-CORE X86 CPUS. (Thesis). University of Tennessee – Knoxville. Retrieved from http://trace.tennessee.edu/utk_gradthes/671

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):

Weber III, Frederick E. “PERFORMANCE EVALUATION OF MEMORY AND COMPUTATIONALLY BOUND CHEMISTRY APPLICATIONS ON STREAMING GPGPUS AND MULTI-CORE X86 CPUS.” 2010. Thesis, University of Tennessee – Knoxville. Accessed October 19, 2018. http://trace.tennessee.edu/utk_gradthes/671.

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

MLA Handbook (7th Edition):

Weber III, Frederick E. “PERFORMANCE EVALUATION OF MEMORY AND COMPUTATIONALLY BOUND CHEMISTRY APPLICATIONS ON STREAMING GPGPUS AND MULTI-CORE X86 CPUS.” 2010. Web. 19 Oct 2018.

Vancouver:

Weber III FE. PERFORMANCE EVALUATION OF MEMORY AND COMPUTATIONALLY BOUND CHEMISTRY APPLICATIONS ON STREAMING GPGPUS AND MULTI-CORE X86 CPUS. [Internet] [Thesis]. University of Tennessee – Knoxville; 2010. [cited 2018 Oct 19]. Available from: http://trace.tennessee.edu/utk_gradthes/671.

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

Council of Science Editors:

Weber III FE. PERFORMANCE EVALUATION OF MEMORY AND COMPUTATIONALLY BOUND CHEMISTRY APPLICATIONS ON STREAMING GPGPUS AND MULTI-CORE X86 CPUS. [Thesis]. University of Tennessee – Knoxville; 2010. Available from: http://trace.tennessee.edu/utk_gradthes/671

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


Rochester Institute of Technology

7. Pangborn, Andrew D. Scalable data clustering using GPUs.

Degree: Computer Engineering, 2010, Rochester Institute of Technology

 The computational demands of multivariate clustering grow rapidly, and therefore processing large data sets, like those found in flow cytometry data, is very time consuming… (more)

Subjects/Keywords: CUDA; Data clustering; Flow cytometry; GPGPU; Parallel computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pangborn, A. D. (2010). Scalable data clustering using GPUs. (Thesis). Rochester Institute of Technology. Retrieved from http://scholarworks.rit.edu/theses/5464

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):

Pangborn, Andrew D. “Scalable data clustering using GPUs.” 2010. Thesis, Rochester Institute of Technology. Accessed October 19, 2018. http://scholarworks.rit.edu/theses/5464.

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

MLA Handbook (7th Edition):

Pangborn, Andrew D. “Scalable data clustering using GPUs.” 2010. Web. 19 Oct 2018.

Vancouver:

Pangborn AD. Scalable data clustering using GPUs. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2018 Oct 19]. Available from: http://scholarworks.rit.edu/theses/5464.

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

Council of Science Editors:

Pangborn AD. Scalable data clustering using GPUs. [Thesis]. Rochester Institute of Technology; 2010. Available from: http://scholarworks.rit.edu/theses/5464

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


Clemson University

8. Bonnie, David. Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System.

Degree: MS, Computer Engineering, 2011, Clemson University

 In recent years computers have been increasing in compute density and speed at a dramatic pace. This increase allows for massively parallel programs to run… (more)

Subjects/Keywords: high performance computing; metadata; OrangeFS; parallel file system; solid state disk; transparent compression; Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bonnie, D. (2011). Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1078

Chicago Manual of Style (16th Edition):

Bonnie, David. “Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System.” 2011. Masters Thesis, Clemson University. Accessed October 19, 2018. https://tigerprints.clemson.edu/all_theses/1078.

MLA Handbook (7th Edition):

Bonnie, David. “Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System.” 2011. Web. 19 Oct 2018.

Vancouver:

Bonnie D. Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System. [Internet] [Masters thesis]. Clemson University; 2011. [cited 2018 Oct 19]. Available from: https://tigerprints.clemson.edu/all_theses/1078.

Council of Science Editors:

Bonnie D. Implementing Transparent Compression and Leveraging Solid State Disks in a High Performance Parallel File System. [Masters Thesis]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_theses/1078


Clemson University

9. Mohammed Ali, Salim. SELF-ADAPTING PARALLEL FRAMEWORK FOR LONG-TERM OBJECT TRACKING.

Degree: MS, Computer Engineering, 2015, Clemson University

  Object tracking is a crucial field in computer vision that has many uses in human-computer interaction, security and surveillance, video communication and compression, augmented… (more)

Subjects/Keywords: Heterogeneous Computing; Long-term object tracking; OpenCL; Parallel Framework; Portability; TLD; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mohammed Ali, S. (2015). SELF-ADAPTING PARALLEL FRAMEWORK FOR LONG-TERM OBJECT TRACKING. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2203

Chicago Manual of Style (16th Edition):

Mohammed Ali, Salim. “SELF-ADAPTING PARALLEL FRAMEWORK FOR LONG-TERM OBJECT TRACKING.” 2015. Masters Thesis, Clemson University. Accessed October 19, 2018. https://tigerprints.clemson.edu/all_theses/2203.

MLA Handbook (7th Edition):

Mohammed Ali, Salim. “SELF-ADAPTING PARALLEL FRAMEWORK FOR LONG-TERM OBJECT TRACKING.” 2015. Web. 19 Oct 2018.

Vancouver:

Mohammed Ali S. SELF-ADAPTING PARALLEL FRAMEWORK FOR LONG-TERM OBJECT TRACKING. [Internet] [Masters thesis]. Clemson University; 2015. [cited 2018 Oct 19]. Available from: https://tigerprints.clemson.edu/all_theses/2203.

Council of Science Editors:

Mohammed Ali S. SELF-ADAPTING PARALLEL FRAMEWORK FOR LONG-TERM OBJECT TRACKING. [Masters Thesis]. Clemson University; 2015. Available from: https://tigerprints.clemson.edu/all_theses/2203

10. Lam, Siu Kwan. Scaling CUDA for Distributed Heterogeneous Processors.

Degree: MS, Computer Engineering, 2012, San Jose State University

  The mainstream acceptance of heterogeneous computing and cloud computing is prompting a future of distributed heterogeneous systems. With current software development tools, programming such… (more)

Subjects/Keywords: CUDA; Distributed Computing; MPI; Parallel Programming

…messaging facility for high level languages. It is scalable. It supports parallel computing in… …device architecture (CUDA) kernels for parallel execution on multicore processors and… …provided by cloud computing, Phalanx allows CUDA kernels to scale from a manycore GPU to a… …a brief discussion of different levels of parallelism and parallel architectures… …computing. Finally, Section 1.5 states the goals of this project and explains the organization of… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lam, S. K. (2012). Scaling CUDA for Distributed Heterogeneous Processors. (Masters Thesis). San Jose State University. Retrieved from http://scholarworks.sjsu.edu/etd_theses/4143

Chicago Manual of Style (16th Edition):

Lam, Siu Kwan. “Scaling CUDA for Distributed Heterogeneous Processors.” 2012. Masters Thesis, San Jose State University. Accessed October 19, 2018. http://scholarworks.sjsu.edu/etd_theses/4143.

MLA Handbook (7th Edition):

Lam, Siu Kwan. “Scaling CUDA for Distributed Heterogeneous Processors.” 2012. Web. 19 Oct 2018.

Vancouver:

Lam SK. Scaling CUDA for Distributed Heterogeneous Processors. [Internet] [Masters thesis]. San Jose State University; 2012. [cited 2018 Oct 19]. Available from: http://scholarworks.sjsu.edu/etd_theses/4143.

Council of Science Editors:

Lam SK. Scaling CUDA for Distributed Heterogeneous Processors. [Masters Thesis]. San Jose State University; 2012. Available from: http://scholarworks.sjsu.edu/etd_theses/4143

.