4 papers
Space-CIM: Enabling Compute-In-Memory Accelerators for Thermally-Constrained Space Platforms
Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Cheng Wang
The rapid growth in compute demand from artificial intelligence (AI) has driven a massive surge in data center construction, precipitating an energy and sustainability crisis. Moti…
CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation
Sohan Salahuddin Mugdho, Md. Shahedul Hasan, Brahmdutta Dixit +3
Deep neural networks (DNNs) have achieved state-of-the-art performance across diverse domains. However, typical Von Neumann compute paradigms face severe memory bottlenecks. Emergi…
StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
Ethan G Rogers, Sohan Salahuddin Mugdho, Kshemal Kshemendra Gupte +1
Crossbar-based in-memory computing (IMC) has emerged as a promising platform for hardware acceleration of deep neural networks (DNNs). However, the energy and latency of IMC system…
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism
Sohan Salahuddin Mugdho, Hafiz Imtiaz
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. Anonymizing user data is often not sufficient for prese…