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