Shantanu Mandal

According to our database, Shantanu Mandal authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning-Based Automatic Synthesis of Software Code and Configuration.

Shantanu Mandal

CoRR, 2023

Adaptive Gradient Prediction for DNN Training.

Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid

CoRR, 2023

Large Language Models Based Automatic Synthesis of Software Specifications.

Shantanu Mandal, Adhrik Chethan, Vahid Janfaza, S. M. Farabi Mahmud, Todd A. Anderson, Javier Turek, Jesmin Jahan Tithi, Abdullah Muzahid

CoRR, 2023

ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction.

Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

MERCURY: Accelerating DNN Training By Exploiting Input Similarity.

Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

Synthesizing Programs with Continuous Optimization.

Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid

CoRR, 2022

2021

XMeter: Finding Approximable Functions and Predicting Their Accuracy.

Riad Akram, Shantanu Mandal, Abdullah Muzahid

IEEE Trans. Computers, 2021

SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware.

Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Abdullah Muzahid

CoRR, 2021

Learning Fitness Functions for Machine Programming.

Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid

Proceedings of Machine Learning and Systems 2021, 2021

2019

NetSyn: Neural Evolutionary Technique to Synthesize Programs.

Shantanu Mandal, Todd A. Anderson, Mejbah Alam, Justin Gottschlich, Abdullah Muzahid

CoRR, 2019