research
∙
05/22/2023
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity
Due to complex interactions among various deep neural network (DNN) opti...
share
research
∙
10/07/2022
Demystifying Map Space Exploration for NPUs
Map Space Exploration is the problem of finding optimized mappings of a ...
research
∙
05/12/2022
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
In recent years, many accelerators have been proposed to efficiently pro...
research
∙
05/03/2022
SIMD^2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM
Matrix-multiplication units (MXUs) are now prevalent in every computing ...
research
∙
09/15/2021
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
To meet the extreme compute demands for deep learning across commercial ...
research
∙
03/02/2021