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Programmability Analysis of Image Processing Kernels on Multi-/Many-core Platforms

Author: Hemminga, S.
Mentor: Varbanescu, A.L.
Faculty:Electrical Engineering, Mathematics and Computer Science
Department:Software Technology
Programme:Parallel and Distributed Systems
Type:Master thesis
Date:2011-06-08
Keywords: OpenCL · GPU · GPGPU · Cell BE
Rights: (c) 2011 Hemminga, S.

In the last few years, the computing industry has changed its course from ever higher clock speeds to multi- and many-core systems. These new parallel systems suffer a “programmability gap”: there is a large gap between the performance a platform is theoretically capable of, and what the programmer is able to achieve.

Early programming models were very closely tied to the underlying hardware. A proliferation of programming models has lead to a push for standardisation. This standard became OpenCL.

In this thesis we investigated how the programmability of many-core systems has evolved in the past years. We started with the hardware-centric Cell SDK and compared it to the new standard OpenCL. We compared programmability on performance, portability and productivity. We found that OpenCL is a major improvement in portability and productivity, but that performance is still lacking.

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