Researchers have developed COREY, a new runtime scheduler designed to optimize the performance of Mamba selective state space models (SSMs). COREY maps activation entropy to chunk sizes, aiming to improve the efficiency of selective-scan kernels. While COREY demonstrated significant latency reductions at the kernel level, achieving up to 4.41x improvement on consumer GPUs, its end-to-end performance did not surpass static chunk tuning due to scheduling overhead. AI
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IMPACT COREY demonstrates potential for optimizing SSM performance, though current implementations show static tuning remains competitive.
RANK_REASON This is a research paper detailing a new scheduling method for Mamba SSMs. [lever_c_demoted from research: ic=1 ai=1.0]