23 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.DC2023★ 2 cited
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques
Jiajun Huang, Kaiming Ouyang, Yujia Zhai +8
In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation d…
cs.DC2022★ 23 cited
MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming
Hui Zhou, Ken Raffenetti, Yanfei Guo +1
The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system archi…
cs.DC2020★ 1 cited
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications
Tong Shu, Yanfei Guo, Justin Wozniak +3
In-situ parallel workflows couple multiple component applications, such as simulation and analysis, via streaming data transfer. in order to avoid data exchange via shared file sys…