Texas A&M High Performance Research Computing

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FASTER Resources

Below are some resources regarding FASTER.

Presentations

  • Dhruva Chakravorty "FASTER Next Generation Composability" (pdf)
    XSEDE XRAC Meeting, March 6, 2022

Publications

  • Hieu Le, Zhenhua He, Mai Le, Dhruva Chakravorty, Lisa M. Perez, Akhil Chilumuru, Yan Yao, and Jiefu Chen. 2024. Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units. In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (PEARC '24). Association for Computing Machinery, New York, NY, USA, Article 7, 1-9. https://doi.org/10.1145/3626203.3670527
  • Wesley A. Brashear, Lisa M. Perez, Elizabeth Leake, Sandra Nite, Marinus Pennings, Sheri Stebenne, Honggao Liu, and Dhruva Chakravorty. 2024. Cultivating Cyberinfrastructure Careers through Student Engagement at Texas A&M University High Performance Research Computing. In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (PEARC '24). Association for Computing Machinery, New York, NY, USA, Article 29, 1-6. https://doi.org/10.1145/3626203.3670544
  • Richard Lawrence, Dhruva K. Chakravorty, Lisa M. Perez, Wesley Brashear, Zhenhua He, Joshua Winchell, and Honggao Liu. 2024. Container Adoption in Campus High Performance Computing at Texas A&M University. In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (PEARC '24). ssociation for Computing Machinery, New York, NY, USA, Article 6, 1-7. https://doi.org/10.1145/3626203.3670550
  • Wesley Brashear, Varshani Reddy, Steven Baum, Dhruva Chakravorty, Francis Dang, Lisa M. Perez, and Honggao Liu. 2024. Exploring the Viability of Composable Architectures to Overcome Memory Limitations in High Performance Computing Workflows. In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (PEARC '24). Association for Computing Machinery, New York, NY, USA, Article 64, 1-4. https://doi.org/10.1145/3626203.3670620
  • Zhenhua He, Sandra B. Nite, Josh Winchell, Abhinand S. Nasari, Hieu T. Le, Jian Tao, Dhruva K. Chakravorty, Lisa Perez, and Honggao Liu. (2023). Development of a training framework for novel accelerators. Proceedings of the 2023 IEEE Frontiers in Education (FIE) Conference: Engineering Education in a Diverse, Global World, College Station, TX. October 18-21, 2023. https://doi.org/10.1109/FIE58773.2023.10343498
  • Zhenhua He, Aditi Saluja, Richard E. Lawrence, Dhruva K. Chakravorty, Francis Dang, Lisa M. Perez, and Honggao Liu. 2023. Performance of Distributed Deep Learning Workloads on a Composable Cyberinfrastructure. In Practice and Experience in Advanced Research Computing (PEARC '23), Portland, OR, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3569951.3593601
  • Abhinand S. Nasari, Lujun Zhai, Zhenhua He, Hieu T. Le, Suxia Cui, Jian Tao, Dhruva K. Chakravorty, and Honggao Liu. 2023. Porting AI/ML Models to Intelligence Processing Units (IPUs). In Practice and Experience in Advanced Research Computing (PEARC '23), Portland, OR, USA. ACM, New York, NY, USA, pp. 231-236 https://doi.org/10.1145/3569951.3603632
  • Richard Lawrence, Dhruva K. Chakravorty, Francis Dang, Lisa M. Perez, Wesley Brashear, Zhenhua He, and Honggao Liu. 2023. Developing Synthetic Applications Benchmarks on Composable Cyberinfrastructure: A Study of Scaling Molecular Dynamics Applications on GPUs. In Practice and Experience in Advanced Research Computing (PEARC '23), Portland, OR, USA. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3569951.3597556
  • Sambit Mishra, Freddie Witherden, Dhruva K. Chakravorty, Lisa M. Perez, Francis Dang. 2023. Scaling Study of Flow Simulations on Composable Cyberinfrastructure. In Practice and Experience in Advanced Research Computing (PEARC '23), Portland, OR, USA. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3569951.3597565
  • Iman Ataee Langroudy, Marinus Pennings, Dhruva Chakravorty and Honggao Liu. 2023. CIBot: Integrating and Automating Researcher Support in Cyberinfrastructure Helpdesk Operations. In Practice and Experience in Advanced Research Computing (PEARC '23), July 23-27, 2023, Portland, OR, USA. ACM, New York, NY, USA. https://doi.org/10.1145/3569951.3597561
  • Richard Lawrence, Zhenhua He, Wesley Brashear, Ridham Patoliya, Honggao Liu, and Dhruva K. Chakravorty. (2022). Tailored Computing Instruction for Economics Majors. Volume 13, Issue 1, pp. 32-37. Journal of Computational Science Education. https://doi.org/10.22369/issn.2153-4136/13/1/6
  • Zhenhua He, Jian Tao, Lisa M. Perez, Dhruva K. Chakravorty. (2022). Technology Laboratories: Facilitating Instruction for Cyberinfrastructure Infused Data Sciences. Volume 13, Issue 1, pp. 44-49. Journal of Computational Science Education. https://doi.org/10.22369/issn.2153-4136/13/1/8
  • Wesley A. Brashear, Zhenhua He, Richard Lawrence, Dhruva K. Chakravorty, Tatevik Sekhposyan, Margaret L. Carpenter, Honggao Liu. (2022). Bridging Data Science Programming with Advanced Formal Coursework. Fifth Workshop on Strategies for Enhancing HPC Education and Training Volume 13, Issue 2, pp.2-7. Journal of Computational Science Education. https://doi.org/10.22369/issn.2153-4136/13/2/1
  • Abhinand S. Nasari, Richard Lawrence, Zhenhua He, Hieu Le, Mario Michael Krell, Alex Tsyplikhin, Mahidhar Tateneni, Tim Cockerill, Lisa M. Perez, Dhruva K. Chakravorty, and Honggao Liu. (2022). Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence/Machine Learning Workloads. In Practice and Experience in Advanced Research Computing, pp. 1-9. 2022. https://dl.acm.org/doi/10.1145/3491418.3530772
  • Dhruva K. Chakravorty, Andrew J Palughi, Ritika Mendjoge, Richard E. Lawrence, Lisa M. Perez, Marinus Pennings, Zhenhua He, Xin Yang, Randy McDonald, Wesley Brashear, Jacob Pavelka, Gerry Pedraza, Sunay V. Palsole, Honggao Liu. 2022. Access to Computing Education Using Micro-Credentials for Cyberinfrastructure. Volume 14, Issue 2 (November 2023), pp. 23-27. Journal of Computational Science Education. https://doi.org/10.22369/issn.2153-4136/14/2/5
  • Duy Pham, Kyle Hsu, Marinus Pennings, Tri Pham, and Phi Au. (2022). Extending Functionalities on a Web-based Portal for Research Computing.
    In Practice and Experience in Advanced Research Computing (PEARC '22), 6 pages. https://doi.org/10.1145/3491418.3535182
  • Z. He, J. Tao. L.M. Perez, and D.K. Chakravorty "Technology Laboratories: Facilitating Informal Instruction for Cyberinfrastructure infused Data Sciences in Virtual Settings"
    Journal of Computational Science Education Proceedings of PEARC 21
  • Richard Lawrence, Tri M. Pham, Phi T. Au, Xin Yang, Kyle Hsu, Stuti H. Trivedi, Lisa M. Perez, and Dhruva K. Chakravorty "Expanding Interactive Computing to Facilitate Informal Instruction in Research Computing"
    Journal of Computational Science Education Volume 13, Issue 1 (April 2022), pp. 50-54 doi.org/10.22369/issn.2153-4136/13/1/9