1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.DC2024★ 1 cited
Taking GPU Programming Models to Task for Performance Portability
Joshua H. Davis, Pranav Sivaraman, Joy Kitson +5
Portability is critical to ensuring high productivity in developing and maintaining scientific software as the diversity in on-node hardware architectures increases. While several…
cs.DC2024★ 1 cited
ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems
Yiheng Xu, Pranav Sivaraman, Hariharan Devarajan +2
Parallel applications can spend a significant amount of time performing I/O on large-scale supercomputers. Fast near-compute storage accelerators called burst buffers can reduce th…