27078

Design and Implementation of ShenWei Universal C/C++

Huanqi Cao, Jiajie Chen
Tsinghua University, China
arXiv:2208.00607 [cs.PL], (1 Aug 2022)

@misc{https://doi.org/10.48550/arxiv.2208.00607,

   doi={10.48550/ARXIV.2208.00607},

   url={https://arxiv.org/abs/2208.00607},

   author={Cao, Huanqi and Chen, Jiajie},

   keywords={Programming Languages (cs.PL), FOS: Computer and information sciences, FOS: Computer and information sciences},

   title={Design and Implementation of ShenWei Universal C/C++},

   publisher={arXiv},

   year={2022},

   copyright={Creative Commons Attribution Non Commercial Share Alike 4.0 International}

}

Download Download (PDF)   View View   Source Source   

239

views

The ShenWei many-core series processors powering multiple cutting-edge supercomputers are equipped with their unique on-chip heterogeneous architecture. They have long required programmers to write separate codes for the control part on Management Processing Element (MPE) and accelerated part on Compute Processing Element (CPE), which is similar to open standards like OpenCL. Such a programming model results in shattered code and bad maintainability, and also make it hard to migrate existing projects targeting commodity processors. Borrowing the experience from CUDA and DPC++ and leveraging the unique unified main memory on ShenWei many-core architecture, we propose ShenWei Universal C/C++ (SWUC), a language extension to C/C++ that enables fluent programming acrossing the boundary of MPE and CPE. Through the use of several new attributes and compiler directives, users are able to write codes running on MPE and CPE in a single file. In case of C++, SWUC further support lambda expressions on CPEs, making it possible to have the code flow better matching the logical design. SWUC also manages to make the Athread library interfaces available, easing the learning curve for original ShenWei users. These powerful features together ensures SWUC to simplify the programming on ShenWei many-core processors and migration of existing C/C++ applications.
No votes yet.
Please wait...

* * *

* * *

* * *

HGPU group © 2010-2022 hgpu.org

All rights belong to the respective authors

Contact us: