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Profiling General Purpose GPU Applications

Bruno Coutinho, George Teodoro, Rafael Sachetto, Dorgival Guedes, Renato Ferreira
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil
21st International Symposium on Computer Architecture and High Performance Computing, 2009. SBAC-PAD ’09

@inproceedings{coutinho2009profiling,

   title={Profiling general purpose gpu applications},

   author={Coutinho, B.R. and Teodoro, G.L.M. and Oliveira, R.S. and Neto, D.O.G. and Ferreira, R.A.C.},

   booktitle={21st International Symposium on Computer Architecture and High Performance Computing},

   pages={11–18},

   year={2009},

   organization={IEEE}

}

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We are witnessing an increasing adoption of GPUs for performing general purpose computation, which is usually known as GPGPU. The main challenge in developing such applications is that they often do not fit in the model required by the graphics processing devices, limiting the scope of applications that may be benefit from the computing power provided by GPUs. Even when the application fits GPU model, obtaining optimal resource usage is a complex task. In this work we propose a profiling tool for GPGPU applications. This tool use a profiling strategy based on performance predicates and is able to quantify the major sources of performance degradation while providing hints on how to improve the applications. We used our tool in CUDA programs and were able to understand and improve their performance.
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