Shantanu Mandal

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Prediction Accuracy

Multi Layer Perceptron

Continuous Optimization

Top Venues

IEEE Trans. Computers

Publications

Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid
MERCURY: Accelerating DNN Training By Exploiting Input Similarity. HPCA (2023)
Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid
Adaptive Gradient Prediction for DNN Training. CoRR (2023)
Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid
ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction. MICRO (2023)
Shantanu Mandal, Adhrik Chethan, Vahid Janfaza, S. M. Farabi Mahmud, Todd A. Anderson, Javier Turek, Jesmin Jahan Tithi, Abdullah Muzahid
Large Language Models Based Automatic Synthesis of Software Specifications. CoRR (2023)
Shantanu Mandal
Learning-Based Automatic Synthesis of Software Code and Configuration. CoRR (2023)
Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid
Synthesizing Programs with Continuous Optimization. CoRR (2022)
Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Abdullah Muzahid
SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware. CoRR (2021)
Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid
Learning Fitness Functions for Machine Programming. MLSys (2021)
Riad Akram, Shantanu Mandal, Abdullah Muzahid
XMeter: Finding Approximable Functions and Predicting Their Accuracy. IEEE Trans. Computers 70 (7) (2021)
Shantanu Mandal, Todd A. Anderson, Mejbah Alam, Justin Gottschlich, Abdullah Muzahid
NetSyn: Neural Evolutionary Technique to Synthesize Programs. CoRR (2019)