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cs.DC2026
Accelerating Compound LLM Training Workloads with Maestro
Xiulong Yuan, Hongqing Chen, Jiaxuan Peng +16
Compound LLM training workloads-such as knowledge distillation and multimodal LLM (MLLM) training-are gaining prominence. These typically comprise heterogeneous components differin…
cs.DC2024
Hiding Communication Cost in Distributed LLM Training via Micro-batch Co-execution
Haiquan Wang, Chaoyi Ruan, Jia He +4
The growth of Large Language Models (LLMs) has necessitated large-scale distributed training. Highly optimized frameworks, however, still suffer significant losses in Model FLOPS u…