research
∙
05/22/2023
Adaptive Gradient Prediction for DNN Training
Neural network training is inherently sequential where the layers finish...
share
research
∙
04/18/2023
Large Language Models Based Automatic Synthesis of Software Specifications
Software configurations play a crucial role in determining the behavior ...
research
∙
11/02/2022
Synthesizing Programs with Continuous Optimization
Automatic software generation based on some specification is known as pr...
research
∙
12/19/2021
Attacks of the Knights: Exploiting Non Uniform Cache Access Time
Intel Knights Landing Processors have shared last level cache (LLC) acro...
research
∙
10/28/2021
SIMCNN – Exploiting Computational Similarity to Accelerate CNN Training in Hardware
Convolution neural networks (CNN) are computation intensive to train. It...
research
∙
04/28/2021
Continual Learning Approach for Improving the Data and Computation Mapping in Near-Memory Processing System
The resurgence of near-memory processing (NMP) with the advent of big da...
research
∙
04/27/2020
FORECASTER: A Continual Lifelong Learning Approach to Improve Hardware Efficiency
Computer applications are continuously evolving. However, significant kn...
research
∙
08/22/2019
Learning Fitness Functions for Genetic Algorithms
A genetic algorithm (GA) attempts to solve a problem using a pool of pot...
research
∙
08/22/2019
NetSyn: Neural Evolutionary Technique to Synthesize Programs
Program synthesis using inputs and outputs is a fundamental problem in c...
research
∙
09/21/2017
