9 citations · 12 across the 3 of their papers we have counts for
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cs.AR2024
H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory
Mario Doumet, Marius Stan, Mathew Hall +1
Convolutional Neural Networks (CNNs) combine large amounts of parallelizable computation with frequent memory access. Field Programmable Gate Arrays (FPGAs) can achieve low latency…
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…