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Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3199453
Abstract: Analog matrix computing (AMC) with resistive memory implies naturally massive parallelism and in-memory processing, thus representing a promising solution for accelerating data-intensive workloads in many applications. In AMC circuits, the interconnect resistances residing in the…
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Keywords:
analog;
circuit;
interconnect resistances;
matrix computing ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3174920
Abstract: Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a heavy workload in many data-intensive applications, e.g., machine learning, scientific computing,…
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Keywords:
resistive memory;
matrix;
memory arrays;
analog matrix ... See more keywords