Vishwesh Jatala

According to our database, Vishwesh Jatala authored at least 25 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

LSTC: Large-Scale Triangle Counting on Single GPU.

Kishan Tamboli, Vishwesh Jatala

Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

A Cluster-Based Sampling Scheme for High-Performance Graph Neural Networks.

Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

2025

Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis.

Naman Agarwal, Gagan Raj Gupta, Vishwesh Jatala, Aniket Saha

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CentGNN: A Centrality-Driven Scheme for High-Performance Graph Neural Networks.

Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

Graph Coarsening for High-Performance GNN.

Niharika Nayak, Kishan Tamboli, Vishwesh Jatala

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

Edge Pruning Methods for Distributed GNN.

Shrashank Maravi, Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

GPU-Accelerated Time Series Anomaly Detection using Matrix Profile.

Raviteja Nandam, Vishwesh Jatala

Proceedings of the 13th ACM IKDD International Conference on Data Science, 2025

2024

Accelerated Multilevel Graph Partitioning on GPUs.

Amitesh Singh, Bhakti Dhorajiya, Vishwesh Jatala

Proceedings of the 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024, 2024

A Cluster-Based Sampler for Fast GNN.

Surendra Kumar Raut, Kishan Tamboli, Vishwesh Jatala

Proceedings of the 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024, 2024

A Partitioning Scheme for Large Scale Clique Counting on Single GPU.

Vinayak Kesarwani, Shivangi Gaur, Sudeep Ranjan Sahoo, Kishan Tamboli, Vishwesh Jatala

Proceedings of the 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024, 2024

Distributed Graph Neural Networks.

Gagan Raj Gupta, Dhruv Rajesh Deshmukh, Vishwesh Jatala

Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), 2024

2023

Entropy Aware Training for Fast and Accurate Distributed GNN.

Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Network.

Manohar Lal Das, Vishwesh Jatala, Gagan Raj Gupta

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Adopting Heterogeneous Computing Modules: Experiences from a ToUCH Summer Workshop.

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

Proceedings of the IEEE/ACM International Workshop on Education for High Performance Computing, 2022

2021

HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021).

Vivek Kumar, Swarnendu Biswas, Vishwesh Jatala

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020

A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs.

Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Study of APIs for Graph Analytics Workloads.

Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019

An Adaptive Load Balancer For Graph Analytical Applications on GPUs.

Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali

CoRR, 2019

DistTC: High Performance Distributed Triangle Counting.

Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

Reducing GPU Register File Energy.

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

Scratchpad Sharing in GPUs.

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

ACM Trans. Archit. Code Optim., 2017

GREENER: A Tool for Improving Energy Efficiency of Register Files.

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

CoRR, 2017

2016

Improving GPU Performance Through Resource Sharing.

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

2015

The More We Share, The More We Have: Improving GPU performance through Register Sharing.

Vishwesh Jatala, Jayvant Anantpur, Amey Karkare

CoRR, 2015