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Shantanu Mandal
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2020 – today
- 2023
- [c3]Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid:
MERCURY: Accelerating DNN Training By Exploiting Input Similarity. HPCA 2023: 638-650 - [c2]Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid:
ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction. MICRO 2023: 1092-1105 - [i6]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 abs/2304.09181 (2023) - [i5]Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid:
Adaptive Gradient Prediction for DNN Training. CoRR abs/2305.13236 (2023) - [i4]Shantanu Mandal:
Learning-Based Automatic Synthesis of Software Code and Configuration. CoRR abs/2305.15642 (2023) - 2022
- [i3]Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid:
Synthesizing Programs with Continuous Optimization. CoRR abs/2211.00828 (2022) - 2021
- [j1]Riad Akram, Shantanu Mandal, Abdullah Muzahid:
XMeter: Finding Approximable Functions and Predicting Their Accuracy. IEEE Trans. Computers 70(7): 1081-1093 (2021) - [c1]Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid:
Learning Fitness Functions for Machine Programming. MLSys 2021 - [i2]Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Abdullah Muzahid:
SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware. CoRR abs/2110.14904 (2021)
2010 – 2019
- 2019
- [i1]Shantanu Mandal, Todd A. Anderson, Mejbah Alam, Justin Gottschlich, Abdullah Muzahid:
NetSyn: Neural Evolutionary Technique to Synthesize Programs. CoRR abs/1908.08783 (2019)
Coauthor Index
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