NDLI: Evaluating and optimizing OpenCL kernels for high performance computing with FPGAs

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Evaluating and optimizing OpenCL kernels for high performance computing with FPGAs

Content Provider	ACM Digital Library
Author	Smith, Aaron Matsuoka, Satoshi Maruyama, Naoya Matsuda, Motohiko Zohouri, Hamid Reza
Abstract	We evaluate the power and performance of the Rodinia benchmark suite using the Altera SDK for OpenCL targeting a Stratix V FPGA against a modern CPU and GPU. We study multiple OpenCL kernels per benchmark, ranging from direct ports of the original GPU implementations to loop-pipelined kernels specifically optimized for FPGAs. Based on our results, we find that even though OpenCL is functionally portable across devices, direct ports of GPU-optimized code do not perform well compared to kernels optimized with FPGA-specific techniques such as sliding windows. However, by exploiting FPGA-specific optimizations, it is possible to achieve up to 3.4x better power efficiency using an Altera Stratix V FPGA in comparison to an NVIDIA K20c GPU, and better run time and power efficiency in comparison to CPU. We also present preliminary results for Arria 10, which, due to hardened FPUs, exhibits noticeably better performance compared to Stratix V in floating-point-intensive benchmarks.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISBN	9781467388153
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-11-13
Access Restriction	Subscribed
Subject Keyword	Performance evaluation Fpga Opencl Heterogeneous computing
Content Type	Text
Resource Type	Article

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