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Vishwesh Jatala
Vishwesh Jatala
Assistant Professor, Indian Institute of Technology Bhilai
Verified email at iitbhilai.ac.in - Homepage
Title
Cited by
Cited by
Year
Gluon-async: A bulk-asynchronous system for distributed and heterogeneous graph analytics
R Dathathri, G Gill, L Hoang, V Jatala, K Pingali, VK Nandivada, HV Dang, ...
2019 28th International Conference on Parallel Architectures and Compilation …, 2019
432019
Disttc: High performance distributed triangle counting
L Hoang, V Jatala, X Chen, U Agarwal, R Dathathri, G Gill, K Pingali
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019
362019
A study of graph analytics for massive datasets on distributed multi-gpus
V Jatala, R Dathathri, G Gill, L Hoang, VK Nandivada, K Pingali
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
232020
Improving GPU performance through resource sharing
V Jatala, J Anantpur, A Karkare
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
142016
Joint partitioning and sampling algorithm for scaling graph neural network
ML Das, V Jatala, GR Gupta
2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022
52022
GREENER: a tool for improving energy efficiency of register files
V Jatala, J Anantpur, A Karkare
arXiv preprint arXiv:1709.04697, 2017
42017
The more we share, the more we have: Improving GPU performance through register sharing
V Jatala, J Anantpur, A Karkare
arXiv preprint arXiv:1503.05694, 2015
42015
Adopting heterogeneous computing modules: Experiences from a ToUCH summer workshop
DP Bunde, K Ahmed, S Ayloo, T Brown-Gaines, J Fuentes, V Jatala, ...
2022 IEEE/ACM International Workshop on Education for High Performance …, 2022
32022
An adaptive load balancer for graph analytical applications on GPUs
V Jatala, L Hoang, R Dathathri, G Gill, VK Nandivada, K Pingali
arXiv preprint arXiv:1911.09135, 2019
32019
Scratchpad sharing in GPUs
V Jatala, J Anantpur, A Karkare
ACM Transactions on Architecture and Code Optimization (TACO) 14 (2), 1-29, 2017
32017
A study of apis for graph analytics workloads
H Lee, D Wong, L Hoang, R Dathathri, G Gill, V Jatala, D Kuck, K Pingali
2020 IEEE International Symposium on Workload Characterization (IISWC), 228-239, 2020
22020
Scratchpad sharing in GPUs
V Jatala, J Anantpur, A Karkare
arXiv preprint arXiv:1607.03238, 2016
22016
Entropy Aware Training for Fast and Accurate Distributed GNN
D Deshmukh, GR Gupta, M Chawla, V Jatala, A Haldar
2023 IEEE International Conference on Data Mining (ICDM), 986-991, 2023
12023
Reducing GPU register file energy
V Jatala, J Anantpur, A Karkare
European Conference on Parallel Processing, 77-91, 2018
12018
Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis
N Agarwal, GR Gupta, V Jatala, A Saha
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025
2025
Distributed Graph Neural Networks
GR Gupta, DR Deshmukh, V Jatala
Proceedings of the 8th International Conference on Data Science and …, 2024
2024
A Cluster-Based Sampler for Fast GNN
SK Raut, K Tamboli, V Jatala
2024 IEEE 31st International Conference on High Performance Computing, Data …, 2024
2024
A Partitioning Scheme for Large Scale Clique Counting on Single GPU
V Kesarwani, S Gaur, SR Sahoo, K Tamboli, V Jatala
2024 IEEE 31st International Conference on High Performance Computing, Data …, 2024
2024
Accelerated Multilevel Graph Partitioning on GPUs
A Singh, B Dhorajiya, V Jatala
2024 IEEE 31st International Conference on High Performance Computing, Data …, 2024
2024
HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021)
V Kumar, S Biswas, V Jatala
2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021
2021
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Articles 1–20