3 citations · 3 across the 4 of their papers we have counts for
4 papers
GEM3D CIM General Purpose Matrix Computation Using 3D Integrated SRAM eDRAM Hybrid Compute In Memory on Memory Architecture
Subhradip Chakraborty, Ankur Singh, Akhilesh R. Jaiswal
With the rapid growth of deep neural networks (DNNs), compute-in-memory (CIM) has emerged as a promising energy-efficient paradigm for accelerating multiply-and-accumulate (MAC) op…
NVM-in-Cache: Repurposing Commodity 6T SRAM Cache into NVM Analog Processing-in-Memory Engine using a Novel Compute-on-Powerline Scheme
Subhradip Chakraborty, Ankur Singh, Xuming Chen +2
The rapid growth of deep neural network (DNN) workloads has significantly increased the demand for large-capacity on-chip SRAM in machine learning (ML) applications, with SRAM arra…
A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence
Subhradip Chakraborty, Shay Snyder, Md Abdullah-Al Kaiser +3
The ability to predict motion in real time is fundamental to many maneuvering activities in animals, particularly those critical for survival, such as attack and escape responses.…
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications
Zihan Yin, Subhradip Chakraborty, Ankur Singh +3
Near-tissue computing requires sensor-level processing of high-resolution images, essential for real-time biomedical diagnostics and surgical guidance. To address this need, we int…