362 citations · 390 across the 7 of their papers we have counts for
3 papers · 1 filter
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks
Sanchari Sen, Shubham Jain, Swagath Venkataramani +1
Deep Neural Networks (DNNs) have emerged as the method of choice for solving a wide range of machine learning tasks. The enormous computational demands posed by DNNs have most comm…
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation
Jay Patravali, Shubham Jain, Sasank Chilamkurthy
In this paper, we develop a 2D and 3D segmentation pipelines for fully automated cardiac MR image segmentation using Deep Convolutional Neural Networks (CNN). Our models are traine…
Computing in Memory with Spin-Transfer Torque Magnetic RAM
Shubham Jain, Ashish Ranjan, Kaushik Roy +1
In-memory computing is a promising approach to addressing the processor-memory data transfer bottleneck in computing systems. We propose Spin-Transfer Torque Compute-in-Memory (STT…