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 ...
share
research
∙
06/19/2021
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
There is a growing interest in custom spatial accelerators for machine l...
research
∙
06/02/2020
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine
Xilinx's AI Engine is a recent industry example of energy-efficient vect...
research
∙
02/18/2020
Marvel: A Data-centric Compiler for DNN Operators on Spatial Accelerators
The efficiency of a spatial DNN accelerator depends heavily on the compi...
research
∙
02/18/2020
