Jyothi Vedurada

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Search Procedure

Dynamic Allocation

Approximate Nearest Neighbor Search

Top Venues

Proc. ACM Program. Lang.

Publications

Karthik V., Saim Khan, Somesh Singh, Harsha Vardhan Simhadri, Jyothi Vedurada
BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU. CoRR (2024)
Tamal Mondal, Scott Barnett, Akash Lal, Jyothi Vedurada
Cell2Doc: ML Pipeline for Generating Documentation in Computational Notebooks. ASE (2023)
Atharva Naik, Soumitra Das, Jyothi Vedurada, Somak Aditya
SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search. IJCNLP (1) (2023)
Ranadeep Biswas, Diptanshu Kakwani, Jyothi Vedurada, Constantin Enea, Akash Lal
MonkeyDB: effectively testing correctness under weak isolation levels. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)
Ranadeep Biswas, Diptanshu Kakwani, Jyothi Vedurada, Constantin Enea, Akash Lal
MonkeyDB: Effectively Testing Correctness against Weak Isolation Levels. CoRR (2021)
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)
Jyothi Vedurada, V. Krishna Nandivada
Batch Alias Analysis. ASE (2019)
Jyothi Vedurada, V. Krishna Nandivada
Identifying refactoring opportunities for replacing type code with subclass and state. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
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)
Jyothi Vedurada, V. Krishna Nandivada
Refactoring opportunities for replacing type code with state and subclass. ICSE (Companion Volume) (2017)