14 citations · 15 across the 5 of their papers we have counts for
5 papers
Weighted -Server Admits an Exponentially Competitive Algorithm
Adithya Bijoy, Ankit Mondal, Ashish Chiplunkar
The weighted -server is a variant of the -server problem, where the cost of moving a server is the server's weight times the distance through which it moves. The problem is f…
Optimal Toffoli-Depth Quantum Adder
Siyi Wang, Suman Deb, Ankit Mondal +1
Efficient quantum arithmetic circuits are commonly found in numerous quantum algorithms of practical significance. Till date, the logarithmic-depth quantum adders includes a consta…
In-situ Stochastic Training of MTJ Crossbar based Neural Networks
Ankit Mondal, Ankur Srivastava
Owing to high device density, scalability and non-volatility, Magnetic Tunnel Junction-based crossbars have garnered significant interest for implementing the weights of an artific…
Data Driven Optimizations for MTJ based Stochastic Computing
Ankit Mondal, Ankur Srivastava
Stochastic computing, a form of computation with probabilities, presents an alternative to conventional arithmetic units. Magnetic Tunnel Junctions (MTJs), which exhibit probabilis…
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing
Ankit Mondal, Ankur Srivastava
Artificial Neural Networks (ANNs) have found widespread applications in tasks such as pattern recognition and image classification. However, hardware implementations of ANNs using…