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cs.DC2026
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…
cs.DC2026
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…