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arXiv · 2210.12230

Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000

Jianbin Fang·Peng Zhang·Chun Huang·Tao Tang·Kai Lu·Ruibo Wang·Zheng Wang
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Abstract

As the hardware industry moves towards using specialized heterogeneous many-cores to avoid the effects of the power wall, software developers are finding it hard to deal with the complexity of these systems. This article shares our experience when developing a programming model and its supporting compiler and libraries for Matrix-3000, which is designed for next-generation exascale supercomputers but has a complex memory hierarchy and processor organization. To assist its software development, we developed a software stack from scratch that includes a low-level programming interface and a high-level OpenCL compiler. Our low-level programming model offers native programming support for using the bare-metal accelerators of Matrix-3000, while the high-level model allows programmers to use the OpenCL programming standard. We detail our design choices and highlight the lessons learned from developing systems software to enable the programming of bare-metal accelerators. Our programming models have been deployed to the production environment of an exascale prototype system.

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Jianbin Fang, Peng Zhang, Chun Huang, Tao Tang, Kai Lu, Ruibo Wang, Zheng Wang. 2022-10-21. Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000. https://arxiv.org/abs/2210.12230

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