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Note: I am looking for highly motivated Ph.D. students to work in the areas of parallel computing, high-performance computing, computer architecture, compilers, or graph processing. If you are interested in working with me, please email me your CV and apply for the Ph.D. position at IIT Bhilai.
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  Research Interest

• Graphics Processing Units (GPUs), High-Performance Computing, Graph Neural Networks, Graph Analytics

  Academic Background

• Ph.D, Department of CSE, IIT Kanpur (2011 - 2018)
• B.Tech, Department of CSE, VNIT Nagpur (2005 - 2009)

  Professional Experience

• Assistant Professor, IIT Bhilai (Aug 2020 - Present)
• Postdoctoral Fellow, The University of Texas at Austin (Jan 2019 - June 2020)
• Research Fellow, The University of Texas at Austin (May 2018 - Dec 2018)
• Research Intern, IBM India Research Laboratory (May 2013 - July 2013)
• Member of Technical Staff, Oracle India Pvt Ltd (June 2009 - July 2011)

  Teaching

• CS251: Introduction to Language Processing (July 2023 - Dec 2023)
• CSL503: Computer Systems Engineering (July 2023 - Dec 2023) [Jointly with Prof. Santosh Biswas]
• CS100: Software Tools & Technolgies (March 2023 - May 2023)
• CS516: Parallelization Of Programs (July 2022 - Dec 2022)
• CS501: Computer Systems (Sept 2022 - Dec 2022)
• CS251: Introduction to Language Processing (Dec 2021 - March 2022)
• CS519: High Performance Computer Architecture (Dec 2021 - May 2022)
• CS516: Parallelization of Programs (July 2021 - Dec 2021)
• CS251: Introduction to Language Processing (Dec 2020 - March 2021)
• CS300: Principles of Programming Languages (July 2020 - Nov 2020) [Jointly with Dr. Subhajit Sidhanta]
• Online Student Training Programme (STP) On Compiler Design, Organized by CSVTU and IIT Bhilai (March 21-25 2021)

  Students

• Ph.D
  
  1. Niharika Nayak
  2. Surendra Kumar Raut
  3. Kishan Tamboli
• M.Tech
  
  1. Ranjith Vutnoor (Graduated in 2023)
  2. Apurva Dorga (Graduated in 2023)

  Sponsored Research Projects

• A High-Performance and Memory Efficient Graph Analytical Framework for GPUs. Project Fund: ~30 Lacs. Funding Agency: 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

1. 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
2. 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.
3. 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.
4. 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.
5. 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.
6. (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.
7. 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]
8. (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)
9. Reducing GPU Register File Energy
   Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, in 24th International European Conference on Parallel and Distributed Computing (Euro-Par), 2018.
10. 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]
11. Scratchpad Sharing in GPUs
    Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, in ACM Transactions on Architecture and Code Optimization (TACO), 2017.
12. (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.
13. Resource Sharing for GPUs
    Vishwesh Jatala, Jayvant Anantpur & Amey Karkare, Code Generation and Optimization (CGO, Poster Track), Barcelona, Spain, 2016.

  Technical Reports

1. 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.

  Awards

1. Recipient of Student Innovation Award in HPEC 2019
2. Nominated for Best Paper Award in PACT 2019
3. Recipient of Tata Consultancy Services (TCS) Ph.D. Fellowship from Jan 2014 to June 2018
4. Recipient of Best Poster Award for the poster titled "GREENER: A Tool for Improving Energy Efficiency of GPU Register File" at High Performance Computing, Data, and Analytics, Student Research Symposium (HiPC, SRS) , Jaipur, India, 2017
5. Recipient of Best Poster Award for the poster titled "Resource Sharing for GPUs" at IBM Research Day, IIT Kanpur, April 2017
6. Recipient of Institute Medal for securing highest CPI in B.Tech, CSE at VNIT Nagpur in September 2009
7. Recipient of Academic Excellence Prize for securing highest CPI in B.Tech, CSE at VNIT Nagpur September 2009
8. Recipient of Dr.V.M. Dokras Felicitation Committee Prize for the best performance in 3rd year B.Tech, CSE at VNIT Nagpur in September 2008
9. Recipient of Academic Excellence Prize for the best performance in 3rd year B.Tech, CSE, at VNIT Nagpur in September 2008
10. Recipient of Dr.S.G.Ghangrekhar Prize for the best performance in Mathematics in 1st year, B.Tech at VNIT Nagpur in September 2006

  Professional Service

• 2023
  
  1. Program Committee, HiPC 2023
     
  2. Publicity Co-Chair, HiPC 2023
     
• 2022
  
  1. Program Committee, WDFHC 2022
     
  2. Publicity Co-Chair, HiPC 2022
     
  3. Reviewer, JPDC 2022
     
• 2021
  
  1. Organizing Committee, NSM-CAWS 2021
     
  2. Publicity Chair, HiPC 2021
     
  3. Organizing Committee, HiPC Programming Contest (GPU Track)
     
  4. Organizing Committee, PPEE 2021
     
  5. Reviewer, JPDC
     
  6. Member of Master Thesis Evaluation Committee of a Student, NTNU
     
• 2020
  
  1. Program Committee, PPoPP Artifact Evaluation
  2. Organizing Committee, CAWS 2020
  3. Reviewer, PACT and IPDPS (Joint reviewer)
  4. Member of Master Thesis Evaluation Committee of a Student, NTNU
• 2019
  
  1. Reviewer, PACT
  2. Member of Master Thesis Evaluation Committee of a Student, NTNU
• 2017
  
  1. Reviewer, HiPC SRS and ICCI
• 2016
  
  1. Reviewer, TOPC

  Talks

1. Graphics Processing Units, Guest Lecture, G. H. Raisoni College of Engineering, 2022
2. Graph Processing on GPUs, at HiPC Programming Contest (GPU Track), 2021
   
3. Introduction to GPUs, CUDA Programming, Optimizations, and Research Directions, at Computer Architecture Winter School (CAWS), 2020
4. Scratchpad Sharing in GPUs, at 12th Inter-Research-Institute Student Seminar in Computer Science (IRISS), Nagpur, Feb 2018.
5. Scratchpad Sharing in GPUs, CSE Doctoral Symposium, NIIT University, Rajasthan, September 23rd-24th, 2017.
6. Poster Presentation on Resource Sharing for GPUs, IBM Research Day, IIT Kanpur, April 2017. [IBM Best Poster Award]
7. Improving GPU Performance Through Resource Sharing, at 11th Inter-Research-Institute Student Seminar in Computer Science (IRISS), Kolkata, Jan 2017
8. Poster Presentation on Resource Sharing for GPUs at Technology Day, IIT Kanpur in May 2016.