17 citations · 29 across the 5 of their papers we have counts for
5 papers
Higher-Order Neuromorphic Ising Machines -- Autoencoders and Fowler-Nordheim Annealers are all you need for Scalability
Faiek Ahsan, Saptarshi Maiti, Zihao Chen +8
We report a higher-order neuromorphic Ising machine that exhibits superior scalability compared to architectures based on quadratization, while also achieving state-of-the-art qual…
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs
Ankita Nandi, Krishil Gandhi, Mahendra Pratap Singh +2
Diverse computing paradigms have emerged to meet the growing needs for intelligent energy-efficient systems. The Margin Propagation (MP) framework, being one such initiative in the…
Margin Propagation based XOR-SAT Solvers for Decoding of LDPC Codes
Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur
Decoding of Low-Density Parity Check (LDPC) codes can be viewed as a special case of XOR-SAT problems, for which low-computational complexity bit-flipping algorithms have been prop…
Process, Bias and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning
Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty +1
Analog computing is attractive compared to digital computing due to its potential for achieving higher computational density and higher energy efficiency. However, unlike digital c…
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning
Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty +1
Bias-scalable analog computing is attractive for implementing machine learning (ML) processors with distinct power-performance specifications. For instance, ML implementations for…