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Georgia Tech Interdisciplinary Team a Lynchpin of Supercomputing 2022

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The International Conference for High Performance Computing, Networking, Storage, and Analytics, or “Supercomputing” (SC) for short, was held in Dallas from November 13-18 and hosted nearly 12,000 attendees.  SC is the premier event for advances in high performance computing hardware, software, and algorithms. Each year, SC provides a unique opportunity to meet leaders in the field of high-performance computing, including researchers at universities and government labs, and hardware vendors like Intel, AMD, NVIDIA, and Penguin Computing. 

The theme for this year’s event was “HPC accelerates,” focusing on the ways in which discovery in science and engineering is accelerated by high performance computing. An interdisciplinary cohort comprised of  Georgia Tech researchers from the Partnership for an Advanced Computing Environment, the Center for High-Performance Computing, the School of Computational Science and Engineering, the Center for Research into Novel Computing Hierarchies, the Institute for Data Engineering and Science, and the School of Computer Science at various levels of their career were in attendance to present technical talks, participate in workshops and promote HPC research at Georgia Tech with a booth in the exhibit hall.

Georgia Tech teams were well represented across the research themes, including presentations on; standardization practices, software engineering, exascale computing, data graphing, and a novel simulator toolkit for co-design. Of special mention is the AMC Gordon Bell Finalist Paper, “Exaflops Biomedical Knowledge Graph Analytics” by Georgia Tech authors Richard Vuduc and Vijay Thakkar.* Georgia Tech faculty were involved in numerous workshops at SC22, including HCP training and education, implementing algorithms on graphics processing units (GPUs), and presenting better tools for developing parallel programs.

Faculty and students from Georgia Tech were integral in the success of Supercomputing 2022, providing planning advice for the organizing committees on Algorithms (Srinivas Aluru), Applications (Umit V. Catalyurek), Architecture and Networks (Tushar Krishna), Data Analytics, Visualization and Storage (Greg Eisenhauer), Machine Learning and HPC (Ramakrishnan Kannan), Post-Moore Computing (Richard Vuduc), Early Career Programs, Student Cluster Competition, and the Student Educational Competitions (Aroua Gharbi).

Georgia Tech researchers had numerous discussions with potential collaborators and new partners for initiatives in high performance computing, including conference attendees from universities, government labs, and industry.  The team also had a great opportunity to reconnect with numerous alumni, who stopped by the GT booth to tell us about their careers since graduation.  Georgia Tech graduates are doing some amazing things in computing hardware, algorithms, and software, with applications across a wide range of engineering and science problems.

-Christa M. Ernst

 
For a full Overview of Georgia Tech’s Research and Participation in SC22 see the GT@SC22 Website
 

*Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert Patton, Sergio E. Baranzini, Richard Vuduc, and Thomas Potok. 2022. Exaflops biomedical knowledge graph analytics. In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC '22). IEEE Press, Article 6, 1–11.

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    Published
  • Created By:
    Christa Ernst
  • Created:
    12/13/2022
  • Modified By:
    Christa Ernst
  • Modified:
    12/13/2022

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