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Swarnendu Biswas
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2020 – today
- 2022
- [j9]Samvid Mistry
, Indranil Saha
, Swarnendu Biswas
:
An MILP Encoding for Efficient Verification of Quantized Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4445-4456 (2022) - [c17]Shivam Kumar, Anupam Agrawal, Swarnendu Biswas:
Efficient data race detection of async-finish programs using vector clocks. PMAM@PPoPP 2022: 45-54 - 2021
- [j8]Srijeeta Maity, Anirban Ghose, Soumyajit Dey, Swarnendu Biswas:
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems. ACM Trans. Embed. Comput. Syst. 20(5s): 97:1-97:28 (2021) - [c16]Vivek Kumar, Swarnendu Biswas, Vishwesh Jatala:
HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021). HiPC Workshops 2021: 50-55 - [c15]Sunidhi Dhandhania, Akshay Deodhar, Konstantin Pogorelov, Swarnendu Biswas, Johannes Langguth:
Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection. ICPP Workshops 2021: 6:1-6:10 - [i6]Rui Zhang, Swarnendu Biswas, Vignesh Balaji, Michael D. Bond, Brandon Lucia:
Neat: Low-Complexity, Efficient On-Chip Cache Coherence. CoRR abs/2107.05453 (2021) - [i5]Sagnik Dey, Mayant Mukul, Parth Sharma, Swarnendu Biswas:
Predictive Data Race Detection for GPUs. CoRR abs/2111.12478 (2021) - [i4]Shivam Kumar, Anupam Agrawal, Swarnendu Biswas:
Efficient Data Race Detection of Async-Finish Programs Using Vector Clocks. CoRR abs/2112.04352 (2021) - 2020
- [c14]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
A Methodology for Principled Approximation in Visual SLAM. PACT 2020: 373-386 - [c13]Rui Zhang, Swarnendu Biswas, Vignesh Balaji
, Michael D. Bond
, Brandon Lucia:
Peacenik: Architecture Support for Not Failing under Fail-Stop Memory Consistency. ASPLOS 2020: 317-333 - [c12]Srijeeta Maity, Anirban Ghose, Soumyajit Dey, Swarnendu Biswas:
Thermal Load-aware Adaptive Scheduling for Heterogeneous Platforms. VLSID 2020: 125-130
2010 – 2019
- 2019
- [j7]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
An elementary introduction to Kalman filtering. Commun. ACM 62(11): 122-133 (2019) - [j6]Saeid Barati
, Ferenc A. Bartha
, Swarnendu Biswas, Robert Cartwright, Adam Duracz
, Donald S. Fussell, Henry Hoffmann, Connor Imes
, Jason E. Miller, Nikita Mishra, Arvind, Dung Nguyen, Krishna V. Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, Sizhuo Zhang:
Proteus: Language and Runtime Support for Self-Adaptive Software Development. IEEE Softw. 36(2): 73-82 (2019) - [c11]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
SLAMBooster: An Application-Aware Online Controller for Approximation in Dense SLAM. PACT 2019: 296-310 - [c10]Swarnendu Biswas, Rui Zhang, Michael D. Bond
, Brandon Lucia:
Rethinking Support for Region Conflict Exceptions. IPDPS 2019: 1095-1106 - 2018
- [i3]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
SLAMBooster: An Application-aware Controller for Approximation in SLAM. CoRR abs/1811.01516 (2018) - 2017
- [j5]Man Cao, Minjia Zhang, Aritra Sengupta, Swarnendu Biswas, Michael D. Bond
:
Hybridizing and Relaxing Dependence Tracking for Efficient Parallel Runtime Support. ACM Trans. Parallel Comput. 4(2): 9:1-9:42 (2017) - [c9]Swarnendu Biswas, Man Cao, Minjia Zhang, Michael D. Bond
, Benjamin P. Wood:
Lightweight data race detection for production runs. CC 2017: 11-21 - [c8]Minjia Zhang, Swarnendu Biswas
, Michael D. Bond
:
Avoiding consistency exceptions under strong memory models. ISMM 2017: 115-127 - [c7]Minjia Zhang, Swarnendu Biswas, Michael D. Bond:
POSTER: On the Problem of Consistency Exceptions in the Context of Strong Memory Models. PPoPP 2017: 459-460 - [i2]Swarnendu Biswas, Yan Pei, Donald S. Fussell, Keshav Pingali:
Capri: A Control System for Approximate Programs. CoRR abs/1706.00767 (2017) - [i1]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
An Elementary Introduction to Kalman Filtering. CoRR abs/1710.04055 (2017) - 2016
- [c6]Minjia Zhang, Swarnendu Biswas
, Michael D. Bond
:
Relaxed dependence tracking for parallel runtime support. CC 2016: 45-55 - 2015
- [c5]Aritra Sengupta, Swarnendu Biswas
, Minjia Zhang, Michael D. Bond
, Milind Kulkarni:
Hybrid Static: Dynamic Analysis for Statically Bounded Region Serializability. ASPLOS 2015: 561-575 - [c4]Swarnendu Biswas
:
Viser: providing serializability in hardware with simplified cache coherence. SPLASH (Companion Volume) 2015: 75-76 - [c3]Swarnendu Biswas
, Minjia Zhang, Michael D. Bond
, Brandon Lucia:
Valor: efficient, software-only region conflict exceptions. OOPSLA 2015: 241-259 - 2014
- [c2]Swarnendu Biswas
, Jipeng Huang, Aritra Sengupta, Michael D. Bond
:
DoubleChecker: efficient sound and precise atomicity checking. PLDI 2014: 28-39 - 2013
- [j4]Swarnendu Biswas
, Rajib Mall, Manoranjan Satpathy:
A regression test selection technique for embedded software. ACM Trans. Embed. Comput. Syst. 13(3): 47:1-47:39 (2013) - [c1]Michael D. Bond
, Milind Kulkarni, Man Cao, Minjia Zhang, Meisam Fathi Salmi, Swarnendu Biswas
, Aritra Sengupta, Jipeng Huang:
OCTET: capturing and controlling cross-thread dependences efficiently. OOPSLA 2013: 693-712 - 2011
- [j3]Swarnendu Biswas
, Rajib Mall, Manoranjan Satpathy:
Task Dependency Analysis for Regression Test Selection of Embedded Programs. IEEE Embed. Syst. Lett. 3(4): 117-120 (2011) - [j2]Swarnendu Biswas, Rajib Mall, Manoranjan Satpathy, Srihari Sukumaran:
Regression Test Selection Techniques: A Survey. Informatica (Slovenia) 35(3): 289-321 (2011)
2000 – 2009
- 2009
- [j1]Swarnendu Biswas, Rajib Mall, Manoranjan Satpathy, Srihari Sukumaran:
A model-based regression test selection approach for embedded applications. ACM SIGSOFT Softw. Eng. Notes 34(4): 1-9 (2009)
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