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Title: Towards enhancing parallelism by exploiting memory hierarchy in GPUs
Researcher: Thanasekhar B
Guide(s): RanjaniParthasarathi
Keywords: Engineering and Technology,Computer Science,Computer Science Information Systems
Graphical Processing Units
Memory Hierarchy
University: Anna University
Completed Date: 2018
Abstract: newline Graphics Processing Units (GPUs) are highly parallel, multithreaded processors consisting of thousands of cores designed for handling parallelism in the form of Single-Instruction Multiple-Data (SIMD) as well as Single- Program Multiple-Data (SPMD). These GPUs, in the recent years, have evolved in terms of architectural features, supporting programming models, to solve many complex computational problems from high performance computing, which are highly compute intensive and embarrassingly parallel. Since GPUs are efficient enough to perform non-specialized calculations they newlineare also used as General Purpose Graphical Processing Units (GPGPUs). Though the architectural specializations have enhanced many applications, there are classes of HPC problems that may not be as amenable to this special class of GPU hardware as a natural choice and it becomes challenging to solve them. This is due to dependences among computations or insufficient degree of parallelism in the applications. This parallelism has to be unveiled with explicit modifications in the algorithms or implicit transformations using compiler optimizations. newline newline
Pagination: xx,161p.
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificates.pdf490.25 kBAdobe PDFView/Open
03_abstract.pdf180.81 kBAdobe PDFView/Open
04_acknowledgement.pdf302.56 kBAdobe PDFView/Open
05_contents.pdf484.31 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf176.38 kBAdobe PDFView/Open
07_chapter1.pdf697.37 kBAdobe PDFView/Open
08_chapter2.pdf913.7 kBAdobe PDFView/Open
09_chapter3.pdf1.22 MBAdobe PDFView/Open
10_chapter4.pdf890.97 kBAdobe PDFView/Open
11_chapter5.pdf676.86 kBAdobe PDFView/Open
12_chapter6.pdf230.81 kBAdobe PDFView/Open
13_appendices.pdf323.34 kBAdobe PDFView/Open
14_references.pdf351.63 kBAdobe PDFView/Open
15_publications.pdf297.14 kBAdobe PDFView/Open

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