4 citations · 6 across the 5 of their papers we have counts for
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cs.AR2024
Chiplet-Gym: Optimizing Chiplet-based AI Accelerator Design with Reinforcement Learning
Kaniz Mishty, Mehdi Sadi
Modern Artificial Intelligence (AI) workloads demand computing systems with large silicon area to sustain throughput and competitive performance. However, prohibitive manufacturing…
cs.AR2023★ 2 cited
System and Design Technology Co-optimization of SOT-MRAM for High-Performance AI Accelerator Memory System
Kaniz Mishty, Mehdi Sadi
SoCs are now designed with their own AI accelerator segment to accommodate the ever-increasing demand of Deep Learning (DL) applications. With powerful MAC engines for matrix multi…
cs.AR2021
Designing Efficient and High-performance AI Accelerators with Customized STT-MRAM
Kaniz Mishty, Mehdi Sadi
In this paper, we demonstrate the design of efficient and high-performance AI/Deep Learning accelerators with customized STT-MRAM and a reconfigurable core. Based on model-driven d…