All Stories

  1. Efficient Lossless Compression of Scientific Floating-Point Data on CPUs and GPUs

    Article • March 2025, ACM (Association for Computing Machinery)

    Noushin Azami, Martin Burtscher

  2. HiRace: Accurate and Fast Data Race Checking for GPU Programs

    Article • November 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Martin Burtscher

  3. Indigo3: A Parallel Graph Analytics Benchmark Suite for Exploring Implementation Styles and Common Bugs

    Article • ACM Transactions on Parallel Computing, August 2024, ACM (Association for Computing Machinery)

    Yiqian Liu, Martin Burtscher, Noushin Azami

  4. A GPU Algorithm for Detecting Strongly Connected Components

    Article • November 2023, ACM (Association for Computing Machinery)

    Martin Burtscher

  5. Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs

    Article • November 2023, ACM (Association for Computing Machinery)

    Martin Burtscher, Noushin Azami, Yiqian Liu

  6. A High-Performance MST Implementation for GPUs

    Article • November 2023, ACM (Association for Computing Machinery)

    Martin Burtscher

  7. Improving the Speed and Quality of Parallel Graph Coloring

    Article • ACM Transactions on Parallel Computing, September 2022, ACM (Association for Computing Machinery)

    Martin Burtscher

  8. Discovering and balancing fundamental cycles in large signed graphs

    Article • November 2021, ACM (Association for Computing Machinery)

    Martin Burtscher

  9. BiPart

    Article • February 2021, ACM (Association for Computing Machinery)

    Martin Burtscher

  10. Increasing Telemetry Throughput Using Customized and Adaptive Data Compression

    Article • September 2016, American Institute of Aeronautics and Astronautics (AIAA)

    Martin Burtscher

  11. Measuring GPU Power with the K20 Built-in Sensor

    Article • March 2014, ACM (Association for Computing Machinery)

    Martin Burtscher