3 papers
cs.DC2026
A Distributed View from a Single GPU: RankLens for Distributed Training
Yufan Wang, Yihao Zhang, Yi Liu
Modern distributed training is costly to debug, tune, and analyze because faithful analysis often requires repeated target-scale executions. We observe that many analysis tasks dep…
physics.acc-ph2025
Conceptual Design Report of Super Tau-Charm Facility: The Accelerator
Jiancong Bao, Anton Bogomyagkov, Zexin Cao +93
Electron-positron colliders operating in the GeV region of center-of-mass energies or the Tau-Charm energy region, have been proven to enable competitive frontier research, due to…
physics.app-ph2025
QUEST: A Quantized Energy-Aware SNN Training Framework for Multi-State Neuromorphic Devices
Sai Li, Linliang Chen, Yihao Zhang +6
Neuromorphic devices, leveraging novel physical phenomena, offer a promising path toward energy-efficient hardware beyond CMOS technology by emulating brain-inspired computation. H…