Vishwesh Jatala

26 papers A* 1A 2B 2Misc 2Journal 6Unranked 13
YearRankTypeTitle / Venue / Authors
2026 B conf
LSTC: Large-Scale Triangle Counting on Single GPU.
ICPE
Kishan Tamboli, Vishwesh Jatala
2025 — conf
CentGNN: A Centrality-Driven Scheme for High-Performance Graph Neural Networks.
HiPCW
Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala
2025 — conf
Edge Pruning Methods for Distributed GNN.
HiPCW
Shrashank Maravi, Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala
2025 — conf
GPU-Accelerated Time Series Anomaly Detection using Matrix Profile.
CODS
Raviteja Nandam, Vishwesh Jatala
2025 — conf
Graph Coarsening for High-Performance GNN.
HiPCW
Niharika Nayak, Kishan Tamboli, Vishwesh Jatala
2025 Misc conf
Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis.
ICASSP
Naman Agarwal, Gagan Raj Gupta, Vishwesh Jatala, Aniket Saha
2024 — conf
A Cluster-Based Sampler for Fast GNN.
HIPCW
Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala
2024 — conf
A Partitioning Scheme for Large Scale Clique Counting on Single GPU.
HIPCW
Vinayak Kesarwani, Shivangi Gaur, Sudeep Ranjan Sahoo, Kishan Tamboli, Vishwesh Jatala
2024 — conf
Accelerated Multilevel Graph Partitioning on GPUs.
HIPCW
Amitesh Singh, Bhakti Dhorajiya, Vishwesh Jatala
2024 — conf
Distributed Graph Neural Networks.
COMAD/CODS (December)
Gagan Raj Gupta, Dhruv Rajesh Deshmukh, Vishwesh Jatala
2023 A* conf
Entropy Aware Training for Fast and Accurate Distributed GNN.
ICDM
Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar
2023 J jnl
Entropy Aware Training for Fast and Accurate Distributed GNN.
CoRR
Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar
2022 — conf
Adopting Heterogeneous Computing Modules: Experiences from a ToUCH Summer Workshop.
EduHPC@SC
David P. Bunde, Kishwar Ahmed, Sridevi Ayloo, Tisha Brown-Gaines, Joel Fuentes, Vishwesh Jatala, Ruth Kurniawati, Isil Öz, Apan Qasem, Philip J. Schielke, Mary C. Tedeschi, Thomas Y. Yeh
2022 Misc conf
Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Network.
HIPC
Manohar Lal Das, Vishwesh Jatala, Gagan Raj Gupta
2021 — conf
HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021).
HiPC Workshops
Vivek Kumar, Swarnendu Biswas, Vishwesh Jatala
2020 — conf
A Study of APIs for Graph Analytics Workloads.
IISWC
Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
2020 A conf
A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs.
IPDPS
Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali
2019 J jnl
An Adaptive Load Balancer For Graph Analytical Applications on GPUs.
CoRR
Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali
2019 — conf
DistTC: High Performance Distributed Triangle Counting.
HPEC
Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2019 B conf
Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics.
PACT
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir
2018 — conf
Reducing GPU Register File Energy.
Euro-Par
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
2017 J jnl
GREENER: A Tool for Improving Energy Efficiency of Register Files.
CoRR
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
2017 J jnl
Scratchpad Sharing in GPUs.
ACM Trans. Archit. Code Optim.
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
2016 A conf
Improving GPU Performance Through Resource Sharing.
HPDC
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
2016 J jnl
Scratchpad Sharing in GPUs.
CoRR
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
2015 J jnl
The More We Share, The More We Have: Improving GPU performance through Register Sharing.
CoRR
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare