7 citations · 9 across the 6 of their papers we have counts for
6 papers
Sharing a Fabric with Collective Communication: Two Storage Penalties in Deep Learning Training
Chen Wang, Wenzhao Wu, Hyojin Kim +1
Distributed DL training on HPC systems often shares one network fabric between NCCL/RCCL collective communication and parallel-filesystem I/O. Using a real GNN training workload on…
FBench: A Flexible Benchmark for CFG-Based What-If Exploration of HPC I/O Patterns
Zhaobin Zhu, Chen Wang, Kathryn Mohror +1
The I/O performance of large-scale HPC applications depends on a complex interplay of access patterns, middleware optimizations, and file system configurations. To systematically e…
TDLight: A Framework for Incremental Light-Curve Management and Continuous Classification Optimization
Xinghang Yu, Ce Yu, Zeguang Shao +2
Time-series observations of celestial objects are fundamental to studying variable and transient phenomena. As time-domain surveys continue to scale up, timely automated classifica…
Recorder: Comprehensive Parallel I/O Tracing and Analysis
Chen Wang, Izzet Yildirim, Hariharan Devarajan +2
This paper presents Recorder, a parallel I/O tracing tool designed to capture comprehensive I/O information on HPC applications. Recorder traces I/O calls across various I/O layers…
Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey
Hammad Ather, Jean Luca Bez, Chen Wang +3
Driven by artificial intelligence, data science, and high-resolution simulations, I/O workloads and hardware on high-performance computing (HPC) systems have become increasingly co…
Formal Definitions and Performance Comparison of Consistency Models for Parallel File Systems
Chen Wang, Kathryn Mohror, Marc Snir
The semantics of HPC storage systems are defined by the consistency models to which they abide. Storage consistency models have been less studied than their counterparts in memory…