4 citations · 4 across the 3 of their papers we have counts for
5 papers
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…
True Random Number Generation using Latency Variations of Commercial MRAM Chips
Farah Ferdaus, B. M. S. Bahar Talukder, Mehdi Sadi +1
The emerging magneto-resistive RAM (MRAM) has considerable potential to become a universal memory technology because of its several advantages: unlimited endurance, lower read/writ…
Special Session: Reliability Analysis for ML/AI Hardware
Shamik Kundu, Kanad Basu, Mehdi Sadi +4
Artificial intelligence (AI) and Machine Learning (ML) are becoming pervasive in today's applications, such as autonomous vehicles, healthcare, aerospace, cybersecurity, and many c…
Yield Loss Reduction and Test of AI and Deep Learning Accelerators
Mehdi Sadi, Ujjwal Guin
With data-driven analytics becoming mainstream, the global demand for dedicated AI and Deep Learning accelerator chips is soaring. These accelerators, designed with densely packed…
Hardware Trojan Detection through Information Flow Security Verification
Adib Nahiyan, Mehdi Sadi, Rahul Vittal +3
Semiconductor design houses are increasingly becoming dependent on third party vendors to procure intellectual property (IP) and meet time-to-market constraints. However, these thi…