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cs.AR2020
Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
Akshay Dua, Yixing Li, Fengbo Ren
This paper presents Systolic-CNN, an OpenCL-defined scalable, run-time-flexible FPGA accelerator architecture, optimized for accelerating the inference of various convolutional neu…
cs.AR2020★ 4 cited
A Survey of System Architectures and Techniques for FPGA Virtualization
Masudul Hassan Quraishi, Erfan Bank Tavakoli, Fengbo Ren
FPGA accelerators are gaining increasing attention in both cloud and edge computing because of their hardware flexibility, high computational throughput, and low power consumption.…