IOS Press Ebooks - Performance Measurement of Applications with GPU Acceleration using CUDA
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Performance Measurement of Applications with GPU Acceleration using CUDA
Shangkar Mayanglambam, Allen D. Malony, Matthew J. Sottile
341 - 348
10.3233/978-1-60750-530-3-341
Advances in Parallel Computing
Volume 19: Parallel Computing: From Multicores and GPU's to Petascale
Abstract

Multi-core accelerators offer significant potential to improve the performance of parallel applications. However, tools to help the parallel application developer understand accelerator performance and its impact are scarce. An approach is presented to measure the performance of GPU computations programmed using CUDA and integrate this information with application performance data captured with the TAU Performance System. Test examples are shown to validate the measurement methods. Results for a case study of the GPU-accelerated NAMD molecular dynamics application application are given.

$35.00 / €27.50 / £22.00
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