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Dr. Martin Burtscher

  • Professor - Computer Science

Biography and education

Martin Burtscher is a Professor in the Department of Computer Science at Texas State University. He received the BS/MS degree from ETH Zurich and the PhD degree from the University of Colorado at Boulder. Martin's current research focuses on the parallelization of graph algorithms and complex programs for GPUs as well as on the synthesis of high-speed lossy and lossless data-compression algorithms. He has co-authored about 130 peer-reviewed scientific publications, which have been cited over 7000 times. Martin is a distinguished member of the ACM and a senior member of the IEEE.
  • Burtscher, Martin (Principal). REU Supplement to "Programming Abstractions and Systems Support for GPU-based Acceleration of Irregular Applications", National Science Foundation, $16000. (Funded: August 1, 2016). Grant.
  • Burtscher, Martin (Principal). REU Supplement to “Nixing Scale Bugs in HPC Applications”, National Science Foundation, $16128. (Funded: June 2, 2015). Grant.
  • Burtscher, Martin (Principal). REU Supplement to “Real-Time Unobtrusive Tracing in Multicore Embedded Systems”, National Science Foundation, $16000. (Funded: February 5, 2014). Grant.
  • Burtscher, Martin (Principal). Collaborative Research: SHF: Medium: SCIOPT: Toward Certifiable Compression-Aware SciML Systems, National Science Foundation, Federal, $272992. (Funded: October 1, 2024 - September 30, 2027). Grant.
  • Burtscher, Martin (Principal). Automatic Generation of Algorithms for High-Speed Reliable Lossy Compression, Department of Energy, Federal, $598261. (Funded: September 1, 2021 - August 31, 2024). Grant.
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  • Mongandampulath Akathoott, A., Rodriguez, A. R., & Burtscher, M. (n.d.). SLEEK: Compressing Memory Copies for Floating-Point Data on GPUs.
  • Akathoott, A. M., & Burtscher, M. (2025). ECL-MM: Fast CUDA Code for Computing a Maximum Matching in a Bipartite Graph. Retrieved from https://github.com/burtscher/ECL-MM
  • Fallin, W. A., Azami, N., & Burtscher, M. (2025). PFPL: Guaranteed-Error-Bounded Lossy Data Compression/Decompression on CPUs and GPUs. Retrieved from https://github.com/burtscher/PFPL
  • Akathoott, A. M., & Burtscher, M. (2025). MG-MIS: Fast multi-GPU Implementation for Computing Maximal Independent Sets. Retrieved from https://github.com/burtscher/MG-MIS
  • Bradley, C. L., Akathoott, A. M., & Burtscher, M. (2025). F-Diam: A Code for Quickly Computing the Exact Diameter of Large Sparse Graphs. Retrieved from https://github.com/burtscher/F-Diam
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  • Award / Honor Recipient: Supercomputing Allocation, Texas Advanced Computing Center. January 2018 - December 2026
  • Award / Honor Recipient: Mariel M. Muir Excellence in Mentoring Award, Texas State University. May 2025
  • Award / Honor Recipient: College Achievement Award for Excellence in Scholarly/Creative Activity, College of Science and Engineering, Texas State University. October 2024
  • Award / Honor Recipient: Best Paper Award, IEEE International Symposium on Performance Analysis of Systems and Software. May 2022
  • Award / Honor Recipient: Presidential Distinction Award for Excellence in Scholarly/Creative Activity, College of Science and Engineering, Texas State University. August 2021
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  1. Other

    Texas State University

  2. Chair

    Presidential Awards Nomination Committee

  3. Member

    NCWIT Extension Services Team

  4. Member

    Personnel Committee

  5. Member

    National Center for Women & Information Technology (NCWIT)

  6. Other

    Association for Computing Machinery (ACM)

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