5 citations · 8 across the 4 of their papers we have counts for
5 papers
On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator
Mahesh Chandra
Dedicated accelerators are being designed to address the huge resource requirement of the deep neural network (DNN) applications. The power, performance and area (PPA) constraints…
A Novel Method for Scalable VLSI Implementation of Hyperbolic Tangent Function
Mahesh Chandra
Hyperbolic tangent and Sigmoid functions are used as non-linear activation units in the artificial and deep neural networks. Since, these networks are computationally expensive, cu…
Hardware Implementation of Hyperbolic Tangent Function using Catmull-Rom Spline Interpolation
Mahesh Chandra
Deep neural networks yield the state of the art results in many computer vision and human machine interface tasks such as object recognition, speech recognition etc. Since, these n…
Comparative Analysis of Polynomial and Rational Approximations of Hyperbolic Tangent Function for VLSI Implementation
Mahesh Chandra
Deep neural networks yield the state-of-the-art results in many computer vision and human machine interface applications such as object detection, speech recognition etc. Since, th…
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator
Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal +3
The number of processing elements (PEs) in a fixed-sized systolic accelerator is well matched for large and compute-bound DNNs; whereas, memory-bound DNNs suffer from PE underutili…