232 citations · 411 across the 23 of their papers we have counts for
4 papers · 1 filter
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…
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…
Creating Robust Deep Neural Networks With Coded Distributed Computing for IoT Systems
Ramyad Hadidi, Jiashen Cao, Hyesoon Kim
The increasing interest in serverless computation and ubiquitous wireless networks has led to numerous connected devices in our surroundings. Among such devices, IoT devices have a…
Vortex: OpenCL Compatible RISC-V GPGPU
Fares Elsabbagh, Blaise Tine, Priyadarshini Roshan +6
The current challenges in technology scaling are pushing the semiconductor industry towards hardware specialization, creating a proliferation of heterogeneous systems-on-chip, deli…