most citedPerformance and Energy Consumption of Parallel Machine Learning Algorithms

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cs.AR2024

Towards Error Correction for Computing in Racetrack Memory

Preston Brazzle, Benjamin F. Morris, Evan McKinney +4

Computing-in-memory (CIM) promises to alleviate the Von Neumann bottleneck and accelerate data-intensive applications. Depending on the underlying technology and configuration, CIM…