221 citations · 227 across the 4 of their papers we have counts for
11 papers
LayerPipe2: Multistage Pipelining and Weight Recompute via Improved Exponential Moving Average for Training Neural Networks
Nanda K. Unnikrishnan, Keshab K. Parhi
In our prior work, LayerPipe, we had introduced an approach to accelerate training of convolutional, fully connected, and spiking neural networks by overlapping forward and backwar…
The Equivalence of Fast Algorithms for Convolution, Parallel FIR Filters, Polynomial Modular Multiplication, and Pointwise Multiplication in DFT/NTT Domain
Keshab K. Parhi
Fast time-domain algorithms have been developed in signal processing applications to reduce the multiplication complexity. For example, fast convolution structures using Cook-Toom…
Encoder Circuit Optimization for Non-Binary Quantum Error Correction Codes in Prime Dimensions: An Algorithmic Framework
Aditya Sodhani, Keshab K. Parhi
Quantum computers are a revolutionary class of computational platforms with applications in combinatorial and global optimization, machine learning, and other domains involving com…
A Survey of Attacks on Large Language Models
Wenrui Xu, Keshab K. Parhi
Large language models (LLMs) and LLM-based agents have been widely deployed in a wide range of applications in the real world, including healthcare diagnostics, financial analysis,…
An Optimized Nearest Neighbor Compliant Quantum Circuit for 5-qubit Code
Arijit Mondal, Keshab K. Parhi
The five-qubit quantum error correcting code encodes one logical qubit to five physical qubits, and protects the code from a single error. It was one of the first quantum codes to…
Teaching Digital Signal Processing by Partial Flipping, Active Learning and Visualization
Keshab K. Parhi
Effectiveness of teaching digital signal processing can be enhanced by reducing lecture time devoted to theory, and increasing emphasis on applications, programming aspects, visual…