On Retargeting the AI Programming Framework to New Hardwares - Network and Parallel Computing
Conference Papers Year : 2018

On Retargeting the AI Programming Framework to New Hardwares

Abstract

Nowadays, a large number of accelerators are proposed to increase the performance of AI applications, making it a big challenge to enhance existing AI programming frameworks to support these new accelerators. In this paper, we select TensorFlow to demonstrate how to port the AI programming framework to new hardwares, i.e., FPGA and Sunway TaihuLight here. FPGA and Sunway TaihuLight represent two distinct and significant hardware architectures for considering the retargeting process. We introduce our retargeting processes and experiences for these two platforms, from the source codes to the compilation processes. We compare the two retargeting approaches and demonstrate some preliminary experimental results.

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Computer Science [cs]
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Submitted on : Thursday, September 5, 2019-1:31:41 PM

Last modification on : Tuesday, November 12, 2024-11:34:03 AM

Long-term archiving on : Thursday, February 6, 2020-4:15:58 AM

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hal-02279561 , version 1 (05-09-2019)

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Jiacheng Zhao, Yisong Chang, Denghui Li, Chunwei Xia, Huimin Cui, et al.. On Retargeting the AI Programming Framework to New Hardwares. 15th IFIP International Conference on Network and Parallel Computing (NPC), Nov 2018, Muroran, Japan. pp.39-51, ⟨10.1007/978-3-030-05677-3_4⟩. ⟨hal-02279561⟩

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