GPU inverters on ROCm

18 Jun 2019, 15:00
20m
Shimao 3B

Shimao 3B

Parallel Algorithms and Machines Algorithms and Machines

Speaker

Yujiang Bi (Institute of High Energy Physics, Chinese Academy of Sciences)

Description

The open source ROCm platform for GPU computing provides an uniform framework to support both the NVIDIA and AMD GPUs, and also the possibility to porting the CUDA code to the ROCm-compatible one. We will present the porting progress on the Overlap fermion inverter (GWU-code) based on thrust and also a general inverter package - QUDA.

Authors

Yujiang Bi (Institute of High Energy Physics, Chinese Academy of Sciences) yibo yang (University of Kentucky, US) Ying CHEN (Institute of High Energy Physics, CAS) Ming Gong Mr Shun Xu (Computer Network Information Center, Chinese Academy of Sciences) Mr YI Xiao (Dawning Information Industry (Beijing) Corp., Ltd)

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