most citedHPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AR2021

Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research

Aman Arora, Andrew Boutros, Daniel Rauch +9

With the prevalence of deep learning (DL) in many applications, researchers are investigating different ways of optimizing FPGA architecture and CAD to achieve better quality-of-re…

cs.AR2020★ 3 cited

HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs

Mathew Hall, Vaughn Betz

We present both a novel Convolutional Neural Network (CNN) accelerator architecture and a network compiler for FPGAs that outperforms all prior work. Instead of having generic proc…