Index structures are critical components in the current datacenter. However, their performance is frequently constrained by the memory bandwidth limitations of modern computer architectures. Recently, processing-in-memory (PIM) has emerged as a promising solution to address this challenge. By enabling data processing d...
Li-Xiao Cui, Ke-Di Yang, Zhuo-Ran Wang et al.· Proceedings of the Internati...· 0 citations
Processing-in-Memory (PIM) architectures offer a promising paradigm to overcome the “memory wall”. While a limited set of hand-tuned kernels has been developed for specific PIM platforms, a comprehensive, high-performance operator library supporting mainstream machine learning workloads is still lacking. Manual PIM ker...
Yi-Xing Du, Qing-Yun Tang, Li-Xiao Cui et al.· Proceedings of the Internati...· 0 citations
Experimental results show that the fused kernels generated by ComFuse outperform those produced by TorchInductor across post-norm workloads and various complex computation scenarios, while supporting more flexible fusion patterns.
Di Mu, Tengyuan Jin, Zhen-Kun Wang et al.· 0 citations
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