17 citations · 27 across the 2 of their papers we have counts for
3 papers
cs.DC2019★ 10 cited
FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10
Ke He, Bo Liu, Yu Zhang +2
Deep learning and Convolutional Neural Network (CNN) have becoming increasingly more popular and important in both academic and industrial areas in recent years cause they are able…
cs.DC2018
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration
Mohamed S. Abdelfattah, David Han, Andrew Bitar +8
Overlays have shown significant promise for field-programmable gate-arrays (FPGAs) as they allow for fast development cycles and remove many of the challenges of the traditional FP…
cs.DC2017★ 17 cited
An OpenCL(TM) Deep Learning Accelerator on Arria 10
Utku Aydonat, Shane O'Connell, Davor Capalija +2
Convolutional neural nets (CNNs) have become a practical means to perform vision tasks, particularly in the area of image classification. FPGAs are well known to be able to perform…