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An OpenCL micro-benchmark suite for GPUs and CPUs

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Abstract

Open computing language (OpenCL) is a new industry standard for task-parallel and data-parallel heterogeneous computing on a variety of modern CPUs, GPUs, DSPs, and other microprocessor designs. OpenCL is vendor independent and hence not specialized for any particular compute device. To develop efficient OpenCL applications for the particular platform, we still need a more profound understanding of architecture features on the OpenCL model and computing devices. For this purpose, we design and implement an OpenCL micro-benchmark suite for GPUs and CPUs. In this paper, we introduce the implementations of our OpenCL micro benchmarks, and present the measuring results of hardware and software features like performance of mathematical operations, bus bandwidths, memory architectures, branch synchronizations and scalability, etc., on two multi-core CPUs, i.e. AMD Athlon II X2 250 and Intel Pentium Dual-Core E5400, and two different GPUs, i.e. NVIDIA GeForce GTX 460se and AMD Radeon HD 6850. We also compared the measuring results with existing benchmarks to demonstrate the reasonableness and correctness of our benchmark suite.

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Acknowledgments

This material is based upon works supported by National Natural Science Foundation of China No.61073010 and No.61272166, National Science and Technology Major Project of China No.2012ZX01039-004, and the State Key Laboratory of Software Development Environment of China No.SKLSDE-2012ZX-02.

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Authors and Affiliations

  1. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China

    Xin Yan, Xiaohua Shi, Lina Wang & Haiyan Yang

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  1. Xin Yan
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  2. Xiaohua Shi
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  3. Lina Wang
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  4. Haiyan Yang
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Correspondence to Xiaohua Shi.

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Yan, X., Shi, X., Wang, L. et al. An OpenCL micro-benchmark suite for GPUs and CPUs. J Supercomput 69, 693–713 (2014). https://doi.org/10.1007/s11227-014-1112-2

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  • DOI: https://doi.org/10.1007/s11227-014-1112-2

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