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cs.DC2026
HyperParallel-Mpipe: A Composable Algebra System for Optimizing MLLM Training over Supernode Clusters
Chong Li, Zhengdao Yu, Nelson Lossing +6
Modern AI applications have expanded beyond text-only interaction into a wide range of multimodal scenarios, making multimodal large language models (MLLMs) crucial for both resear…
cs.DC2024
PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler
Gianpietro Consolaro, Zhen Zhang, Harenome Razanajato +8
Polyhedral techniques have been widely used for automatic code optimization in low-level compilers and higher-level processes. Loop optimization is central to this technique, and s…