Search Results for author: Joel S. Emer

Found 2 papers, 0 papers with code

HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity

no code implementations22 May 2023 Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer

Due to complex interactions among various deep neural network (DNN) optimization techniques, modern DNNs can have weights and activations that are dense or sparse with diverse sparsity degrees.

Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling

no code implementations12 May 2022 Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel S. Emer

This paper first presents a unified taxonomy to systematically describe the diverse sparse tensor accelerator design space.

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