8 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.AR2021★ 8 cited
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification
Seyed Abolfazl Ghasemzadeh, Erfan Bank Tavakoli, Mehdi Kamal +2
In this paper, first, a hardware-friendly pruning algorithm for reducing energy consumption and improving the speed of Long Short-Term Memory (LSTM) neural network accelerators is…
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.…