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cs.NI2026
CALIPER: Calibrating HPC/AI Network Simulators
Seyyidahmed Lahmer, Daniel Seibel, Srijeet Basu +9
Network simulation plays an important role in HPC/AI system research by enabling exploration of network architectures, communication strategies, and system configurations at scales…
cs.DC2026
Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO
Jonas Svedas, Nathan Laubeuf, Ryan Harvey +6
Predicting the performance of large-scale distributed machine learning (ML) workloads across multiple accelerator architectures remains a central challenge in ML system design. Exi…