120 citations · 162 across the 10 of their papers we have counts for
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cs.DC2021★ 6 cited
High Performance GPU Code Generation for Matrix-Matrix Multiplication using MLIR: Some Early Results
Navdeep Katel, Vivek Khandelwal, Uday Bondhugula
This report presents some early results on code generation targeting tensor cores on NVIDIA GPUs using the MLIR compiler infrastructure. The state-of-the-art in high-performance de…
cs.AR2021★ 3 cited
HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description
Kingshuk Majumder, Uday Bondhugula
The emergence of machine learning, image and audio processing on edge devices has motivated research towards power efficient custom hardware accelerators. Though FPGAs are an ideal…