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cs.LG2026
AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
Ahan Gupta, Zhihao Wang, Neel Dani +3
Large-language-models (LLMs) demonstrate enormous utility in long-context tasks which require processing prompts that consist of tens to hundreds of thousands of tokens. However, e…
cs.DC2026
VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination
Muyan Hu, Ahan Gupta, Jiachen Yuan +7
With the widening gap between compute and memory operation latencies, data movement optimizations have become increasingly important for DNN compilation. Current optimizations such…