Browsing Department of Computer Science & Engineering by Subject "Accelerated Architectures"

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Near-Memory acceleration of Convolutional Neural Networks by exploiting Parallelism, Sparsity, and Redundancy

Das, Palash (2022)

The gap between the processing speed of the CPU and the access speed of the memory is becoming a bottleneck for many emerging applications. This gap can be reduced if the computation can be taken closer to the memory through ...

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