5 citations · 8 across the 3 of their papers we have counts for
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cs.AR2023
Automatic multi-dimensional pipelining for high-level synthesis of dataflow accelerators
Kingshuk Majumder, Uday Bondhugula
In recent years, there has been a surging demand for edge computing of image processing and machine learning workloads. This has reignited interest in the development of custom har…
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…