用HIPCL和DPCT评估CUDA可移植性

Zheming Jin, J. Vetter
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引用次数: 6

摘要

HIPCL正在将CUDA可移植性从AMD平台扩展到OpenCL平台。与此同时,英特尔dpc++兼容工具(DPCT)正在将CUDA程序迁移到数据并行c++ (dpc++)程序。为了增强可移植性,我们评估了在英特尔gpu上使用HIPCL和DPCT移植的Rodinia, SHOC和代理应用程序的CUDA应用程序的性能。在对移植程序进行分析之后,我们的目标是了解它们的性能差距,并优化由DPCT转换的代码以提高它们的性能。CUDA、HIP和DPCT程序的开源存储库将对翻译程序的开发非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating CUDA Portability with HIPCL and DPCT
HIPCL is expanding the scope of the CUDA portability route from an AMD platform to an OpenCL platform. In the meantime, the Intel DPC++ Compatibility Tool (DPCT) is migrating a CUDA program to a data parallel C++ (DPC++) program. Towards the goal of portability enhancement, we evaluate the performance of the CUDA applications from Rodinia, SHOC, and proxy applications ported using HIPCL and DPCT on Intel GPUs. After profiling the ported programs, we aim to understand their performance gaps, and optimize codes converted by DPCT to improve their performance. The open-source repository for the CUDA, HIP, and DPCT programs will be useful for the development of a translator.
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