Using multiple code examples, from both synthetic and real-life benchmarks, we quantify the impact of these traps, showing how avoiding them can give up to 10 ...
... OpenCL platform-parallelism granularity and the memory model-we identify eight such performance "traps" that lead to performance degradation in OpenCL for CPUs.
Performance traps in OpenCL for CPUs. Conference paper (2013). Authors. J. Shen Data-Intensive Systems - EEMCS. J. Fang Data-Intensive Systems - EEMCS.
Performance traps in OpenCL for CPUs ; English · Proceedings of the 21st Euromicro International Conference on Parallel, Distributed and Network-based Processing ...
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“Performance Traps in OpenCL for CPUs”, 21st. Euromicro International Conference on Parallel,. Distributed, and Network-Based Processing,pp 38-45,2013. [8].
Nov 2, 2022 · With Intel processor graphics, using zero copy always results in better performance relative to the alternative of creating a copy on the host ...
Aug 10, 2009 · performance measurement. This chapter discusses how to correctly measure performance using CPU timers and OpenCL events. It then explores ...
Dec 14, 2012 � The major reason is the immense gap between CPU and GPU architecture. In this paper, we evaluate the performance portability of OpenCL programs ...
Traps. Memory Throughput. Untyped Read/Write → for 128 GB/s at 1 GHz per ... Achieving Performance with OpenCL 2.0 on Intel Processor. Graphics. Presented ...
OpenCL is an open standard for parallel computing that enables performance portability across diverse computing platforms. In this work, we perform a systematic ...