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2020 – today
- 2024
[i2]Karthik V., Saim Khan, Somesh Singh
, Harsha Vardhan Simhadri, Jyothi Vedurada:
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU. CoRR abs/2401.11324 (2024)- 2023
- [c6]Atharva Naik, Soumitra Das, Jyothi Vedurada, Somak Aditya:
SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search. IJCNLP (1) 2023: 83-103 - [c5]Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada:
Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks. ASE 2023: 384-396 - 2021
- [j2]Ranadeep Biswas, Diptanshu Kakwani, Jyothi Vedurada, Constantin Enea, Akash Lal:
MonkeyDB: effectively testing correctness under weak isolation levels. Proc. ACM Program. Lang. 5(OOPSLA): 1-27 (2021) - [c4]Udit Agarwal, Pantazis Deligiannis, Cheng Huang, Kumseok Jung, Akash Lal, Immad Naseer, Matthew Parkinson, Arun Thangamani, Jyothi Vedurada, Yunpeng Xiao:
Nekara: Generalized Concurrency Testing. ASE 2021: 679-691 - [i1]Ranadeep Biswas, Diptanshu Kakwani, Jyothi Vedurada, Constantin Enea, Akash Lal:
MonkeyDB: Effectively Testing Correctness against Weak Isolation Levels. CoRR abs/2103.02830 (2021)
2010 – 2019
- 2019
- [c3]Jyothi Vedurada, V. Krishna Nandivada:
Batch Alias Analysis. ASE 2019: 936-948 - 2018
- [j1]Jyothi Vedurada, V. Krishna Nandivada:
Identifying refactoring opportunities for replacing type code with subclass and state. Proc. ACM Program. Lang. 2(OOPSLA): 138:1-138:28 (2018) - [c2]Jyothi Vedurada, Arjun Suresh, Aravind Sukumaran-Rajam, Jinsung Kim, Changwan Hong, Ajay Panyala, Sriram Krishnamoorthy, V. Krishna Nandivada, Rohit Kumar Srivastava, P. Sadayappan:
TTLG - An Efficient Tensor Transposition Library for GPUs. IPDPS 2018: 578-588 - 2017
- [c1]Jyothi Vedurada, V. Krishna Nandivada:
Refactoring opportunities for replacing type code with state and subclass. ICSE (Companion Volume) 2017: 305-307
Coauthor Index
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