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Prof. Lipasti is an established expert in the design of high-performance, low-power, and reliable processor cores; networks-on-chip for many-core processors; and fundamentally new, biologically-inspired models of computation. He was named an IEEE Fellow (class of 2013) "for contributions to the microarchitecture and design of high-performance microprocessors and computer systems." He has published over 100 refereed papers, advised 17 Ph.D. theses to completion, and is a charter member of the ISCA, MICRO, and HPCA Halls of Fame. Over the last ten years, he focused much of his research program on developing a deep understanding of neural and cortical algorithms, specifically unsupervised and semi-supervised approaches for vision (object recognition), as well as efficient synthetic algorithms and implementations that mimic their biological counterparts.
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论文共 199 篇作者统计合作学者相似作者
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IEEE Computer Architecture Lettersno. 1 (2023): 37-40
ACM Transactions on Architecture and Code Optimizationno. 3 (2023): 1-27
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ACM Transactions on Architecture and Code Optimizationno. 3 (2023): 1-25
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BID@PPOPPpp.1:1-1:9, (2023)
Chien-Fu Chen,Mikko H. Lipasti
arxiv(2021)
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