The More We Share, The More We Have: Improving GPU performance through Register Sharing. - Vishwesh Jatala; Jayvant Anantpur; Amey Karkare (CoRR, 2015)

Improving GPU Performance Through Resource Sharing. - Vishwesh Jatala; Jayvant Anantpur; Amey Karkare (HPDC, 2016)

GREENER: A Tool for Improving Energy Efficiency of Register Files. - Vishwesh Jatala; Jayvant Anantpur; Amey Karkare (CoRR, 2017)

Scratchpad Sharing in GPUs. - Vishwesh Jatala; Jayvant Anantpur; Amey Karkare (ACM Trans. Archit. Code Optim., 2017)

Reducing GPU Register File Energy. - Vishwesh Jatala; Jayvant Anantpur; Amey Karkare (Euro-Par, 2018)

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 (PACT, 2019)

DistTC: High Performance Distributed Triangle Counting. - Loc Hoang; Vishwesh Jatala; Xuhao Chen 001; Udit Agarwal; Roshan Dathathri; Gurbinder Gill; Keshav Pingali (HPEC, 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)

A Study of APIs for Graph Analytics Workloads. - Hochan Lee; David C. Wong 001; Loc Hoang; Roshan Dathathri; Gurbinder Gill; Vishwesh Jatala; David Kuck; Keshav Pingali (IISWC, 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 (IPDPS, 2020)

HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021). - Vivek Kumar; Swarnendu Biswas; Vishwesh Jatala (HiPC Workshops, 2021)

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 (EduHPC@SC, 2022)

Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Network. - Manohar Lal Das; Vishwesh Jatala; Gagan Raj Gupta (HIPC, 2022)

Entropy Aware Training for Fast and Accurate Distributed GNN. - Dhruv Deshmukh; Gagan Raj Gupta 001; Manisha Chawla; Vishwesh Jatala; Anirban Haldar (ICDM, 2023)

Distributed Graph Neural Networks. - Gagan Raj Gupta 001; Dhruv Rajesh Deshmukh; Vishwesh Jatala (COMAD/CODS (December), 2024)

A Partitioning Scheme for Large Scale Clique Counting on Single GPU. - Vinayak Kesarwani; Shivangi Gaur; Sudeep Ranjan Sahoo; Kishan Tamboli; Vishwesh Jatala (HIPCW, 2024)

A Cluster-Based Sampler for Fast GNN. - Surendra Kumar Raut; Kishan Tamboli; Vishwesh Jatala (HIPCW, 2024)

Accelerated Multilevel Graph Partitioning on GPUs. - Amitesh Singh; Bhakti Dhorajiya; Vishwesh Jatala (HIPCW, 2024)

Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis. - Naman Agarwal; Gagan Raj Gupta; Vishwesh Jatala; Aniket Saha (ICASSP, 2025)