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Manas Thakur

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affiliation: Indian Institute of Technology Bombay, Mumbai, India

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Journal Articles

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2023
[j2]
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  - journals/pacmpl/MehtaKGTV23
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  - https://dblp.org/rec/journals/pacmpl/MehtaKGTV23
Meetesh Kalpesh Mehta, Sebastián Krynski, Hugo Musso Gualandi, Manas Thakur, Jan Vitek:
Reusing Just-in-Time Compiled Code. Proc. ACM Program. Lang. 7(OOPSLA2): 1176-1197 (2023)
2019
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Manas Thakur, V. Krishna Nandivada:
PYE: A Framework for Precise-Yet-Efficient Just-In-Time Analyses for Java Programs. ACM Trans. Program. Lang. Syst. 41(3): 16:1-16:37 (2019)

Conference and Workshop Papers

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2023
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Prakash Neupane, Manas Thakur:
Variational Study of the Impact of Call Graphs on Precision of Android Taint Analysis. ISEC 2023: 21:1-21:5
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  - conf/vmil/SinghSMT23
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Anmolpreet Singh, Aayush Sharma, Meetesh Kalpesh Mehta, Manas Thakur:
Debugging Dynamic Language Features in a Multi-tier Virtual Machine. VMIL@SPLASH 2023: 18-28
2022
[c5]
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  - conf/cascon/SharmaKT22
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Rishi Sharma, Shreyansh Kulshreshtha, Manas Thakur:
ZS3: Marrying Static Analyzers and Constraint Solvers to Parallelize Loops in Managed Runtimes. CASCON 2022: 213-220
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Aditya Anand, Manas Thakur:
Principles of Staged Static+Dynamic Partial Analysis. SAS 2022: 44-73
2020
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Manas Thakur, V. Krishna Nandivada:
Mix your contexts well: opportunities unleashed by recent advances in scaling context-sensitivity. CC 2020: 27-38
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Manas Thakur:
How (not) to write Java pointer analyses after 2020. Onward! 2020: 134-145
2019
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Manas Thakur, V. Krishna Nandivada:
Compare less, defer more: scaling value-contexts based whole-program heap analyses. CC 2019: 135-146

Informal and Other Publications

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2022
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Rishi Sharma, Shreyansh Kulshreshtha, Manas Thakur:
Can We Run in Parallel? Automating Loop Parallelization for TornadoVM. CoRR abs/2205.03590 (2022)

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