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cs.LG2026
QUILT: Rethinking Sparse-Attention Prefill through Shared Query Execution
Zhenduo Zhao, Qihui Zhou, Mingcong Song +7
Sparse attention reduces the cost of long-context attention, but existing kernels typically process queries independently, repeatedly loading and dequantizing KV entries shared acr…
cs.LG2026
From Experience to Expertise: Adoption-Aware Memory Learning for Data-Scarce NPU Kernel Synthesis
Longxiao Fan, Tao Zhang, Han Yan +5
High-performance kernels underpin efficient accelerator execution but require expert tuning and lengthy manual optimization cycles. LLM coding agents promise automation, yet their…