3 citations · 3 across the 2 of their papers we have counts for
3 papers
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…
cs.DC2019
A flexible FPGA accelerator for convolutional neural networks
Kingshuk Majumder, Shubham Nema, Uday Bondhugula
Though CNNs are highly parallel workloads, in the absence of efficient on-chip memory reuse techniques, an accelerator for them quickly becomes memory bound. In this paper, we prop…