NDLI: OpenCL Kernel Fusion for GPU, Xeon Phi and CPU

Content Provider	IEEE Xplore Digital Library
Author	Filipovic, J. Benkner, S.
Copyright Year	2015
Description	Author affiliation: Fac. of Inf., Masaryk Univ., Brno, Czech Republic (Filipovic, J.) \|\| Fac. of Comput. Sci., Univ. of Vienna, Vienna, Austria (Benkner, S.)
Abstract	Kernel fusion is an optimization method, in which the code from several kernels is composed to create a new, fused kernel. It can push the performance of kernels beyond limits given for their isolated, unfused form. In this paper, we introduce a classification of different types of kernel fusion for both data dependent and data independent kernels. We study kernel fusion on three types of OpenCL devices: GPU, Xeon Phi and CPU. Those hardware platforms have quite different properties, thus, kernel fusion often affects performance in quite different ways. We analyze the impact of kernel fusion on those hardware platforms and show how it can be used to improve performance. Based on our study we also introduce a basic transformation method for generating fused kernels, which has good potential to be automatized.
Starting Page	98
Ending Page	105
File Size	1471415
Page Count	8
File Format	PDF
ISBN	9781467380119
ISSN	15506533
DOI	10.1109/SBAC-PAD.2015.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-17
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Graphics processing units Data integration Performance evaluation Hardware Registers Programming code optimization OpenCL kernel fusion GPU Xeon Phi CPU
Content Type	Text
Resource Type	Article

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