3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.DC2022★ 1 cited
CuPBoP: CUDA for Parallelized and Broad-range Processors
Ruobing Han, Jun Chen, Bhanu Garg +3
CUDA is one of the most popular choices for GPU programming, but it can only be executed on NVIDIA GPUs. Executing CUDA on non-NVIDIA devices not only benefits the hardware communi…
cs.DC2021
COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs
Ruobing Han, Jaewon Lee, Jaewoong Sim +1
As CUDA programs become the de facto program among data parallel applications such as high-performance computing or machine learning applications, running CUDA on other platforms h…
cs.PL2021★ 3 cited
Supporting CUDA for an extended RISC-V GPU architecture
Ruobing Han, Blaise Tine, Jaewon Lee +2
With the rapid development of scientific computation, more and more researchers and developers are committed to implementing various workloads/operations on different devices. Amon…