Research

Sponsored Projects

• A High-Performance and Memory Efficient Graph Analytical Framework for GPUs, Project Fund: ∼30 Lacs, DST/SERB, 2021-23.
• A High-Performance and Memory-Efficient Deep Learning Framework for GPUs, Project Fund: ∼12 Lacs, Research Initiation Grant, IIT Bhilai, 2022-25.
• Digital Transformation System For Pre-Failure Alert Generation For Equipment Failture & Cobble Reduction Based on Data Analytics And Video Analytics at BRM . Project Fund: 2.99 Crore, Bhilai Steel Plant, 2023-25. [As a CO-PI]

Publications

• Distributed Graph Neural Networks, Dhruv Deshmukh, Gagan Gupta, and Vishwesh Jatala, Tutorial Track, Joint International Conference on Data Sciences and Management of Data (CODS-COMAD), 2024
• Entropy Aware Training for Fast and Accurate Distributed GNN, Dhruv Deshmukh, Gagan Gupta, Manisha Chawla, Vishwesh Jatala, and Anirban Haldar, 23rd IEEE International Conference on Data Mining (ICDM), 2023.
• Memory Efficient Sparse Matrix-Matrix Multiplication on GPU, Apurva Dogra, Kishan Tamboli, and Vishwesh Jatala at Student Research Symposium, 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2023.
• Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Networks, Manohar Lal Das, Vishwesh Jatala, and Gagan Raj Gupta, 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 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, Işıl Öz, Apan Qasem, Philip J. Schielke, Mary C. Tedeschi, Thomas Y. Yeh, 10th Workshop on Education for High-Performance Computing (EduHPC-22), 2022.
• Accelerating Graph Neural Networks using GPU, Niharika Nayak, Vishwesh Jatala at Student Research Symposium, 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2022.
• A Study of APIs for Graph Analytics Workloads, Hochan Lee, David Wongy, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kucky, and Keshav Pingali, in IEEE International Symposium on Workload Characterization & Distributed Processing Symposium (IISWC), 2020.
• (Slides) A Study of Graph Analytics for Massive Datasets on Large-Scale Distributed GPUs
  Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V Krishna Nandivada, Keshav Pingali, in 34th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2020.
• Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics
  Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Vishwesh Jatala, V Krishna Nandivada, Marc Snir, Keshav Pingali, in ACM/IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT), 2019. [Nominated for Best Paper]
• (Slides) DistTC: High Performance Distributed Triangle Counting Loc Hoang^*, Vishwesh Jatala^*, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali, in IEEE High Performance extreme Computing Conference (HPEC), 2019. [Student Innovation Award]
  [^* Both authors contributed equally]
• Reducing GPU Register File Energy
  Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, in 24th International European Conference on Parallel and Distributed Computing (Euro-Par), 2018.
• GREENER: A Tool for Improving Energy Efficiency of GPU Register File
  Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, in High Performance Computing, Data, and Analytics, Student Research Symposium (HiPC, SRS), Jaipur, India, 2017. [Best Poster Award]
• Scratchpad Sharing in GPUs
  Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, in ACM Transactions on Architecture and Code Optimization (TACO), 2017.
• (Slides) Improving GPU Performance Through Resource Sharing
  Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, 25th Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan, 2016.
• Resource Sharing for GPUs
  Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, Code Generation and Optimization (CGO, Poster Track), Barcelona, Spain, 2016.
• An Adaptive Load Balancer For Graph Analytical Applications on GPUs
  Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V Krishna Nandivada, Keshav Pingali, Arxiv, 2019. (Under Submission)