182 citations · 182 across the 2 of their papers we have counts for
4 papers
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems
Rui Ma, Evangelos Georganas, Alexander Heinecke +2
Rapid advances in artificial intelligence (AI) technology have led to significant accuracy improvements in a myriad of application domains at the cost of larger and more compute-in…
Automatic Compiler Based FPGA Accelerator for CNN Training
Shreyas Kolala Venkataramanaiah, Yufei Ma, Shihui Yin +4
Training of convolutional neural networks (CNNs)on embedded platforms to support on-device learning is earning vital importance in recent days. Designing flexible training hard-war…
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs
Philip Colangelo, Nasibeh Nasiri, Asit Mishra +3
CNNs have been shown to maintain reasonable classification accuracy when quantized to lower precisions. Quantizing to sub 8-bit activations and weights can result in accuracy falli…
WRPN: Wide Reduced-Precision Networks
Asit Mishra, Eriko Nurvitadhi, Jeffrey J Cook +1
For computer vision applications, prior works have shown the efficacy of reducing numeric precision of model parameters (network weights) in deep neural networks. Activation maps,…