8 citations · 8 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.LG2018
Space Expansion of Feature Selection for Designing more Accurate Error Predictors
Shayan Tabatabaei Nikkhah, Mehdi Kamal, Ali Afzali-Kusha +1
Approximate computing is being considered as a promising design paradigm to overcome the energy and performance challenges in computationally demanding applications. If the case wh…