Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics
Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Compute in-memory (CIM) is a promising technique that minimizes data transport, the primary performance bottleneck and energy cost of most data intensive applications. This has found wide-spread adoption in accelerating neural networks for machine learning applications. Utilizing a crossbar architecture with emerging non-volatile memories (eNVM) su...
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Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics
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TN_cdi_proquest_journals_2435010535
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2435010535
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2331-8422
