Faculty Profile for Dr. Martin Burtscher
Biography Section
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 Ph.D. degree from the University of Colorado at Boulder. Martin's current research focuses on parallelization of complex programs for GPUs as well as on automatic synthesis of data-compression algorithms. Martin has co-authored over 100 peer-reviewed scientific publications. He is a distinguished member of the ACM and a senior member of the IEEE.Selected Scholarly/Creative Work
- Burtchell, B. A., & Burtscher, M. (n.d.). Using Machine Learning to Predict Effective Compression Algorithms for Heterogeneous Datasets.
- Azami, N., Lawson, R., & Burtscher, M. (n.d.). LICO: An Effective, High-Speed, Lossless Compressor for Images.
- Burtscher, M. (2023). ECL-SCC: A Strongly Connected Components Code for GPUs. Retrieved from https://cs.txstate.edu/~burtscher/research/ECL-SCC/
- Fallin, W. A., & Burtscher, M. (2023). ECL-MST: A Minimum Spanning Tree Code for GPUs. Retrieved from https://cs.txstate.edu/~burtscher/research/ECL-MST/
- Liu, Y., Azami, N., Vanausdal, A. R., & Burtscher, M. (2023). Indigo2: A Benchmark Suite of Hundreds of Parallel Implementations of 6 Graph Algorithms Written in CUDA, OpenMP, and C++ Threads. Retrieved from https://cs.txstate.edu/~burtscher/research/Indigo2Suite/
Selected Awards
- Award / Honor Recipient: Supercomputing Allocation, Texas Advanced Computing Center. January 2022 - December 2022
- Award / Honor Recipient: Best Paper Award, IEEE International Symposium on Performance Analysis of Systems and Software. May 2022
- Award / Honor Recipient: Supercomputing Allocation, Texas Advanced Computing Center. January 2021 - December 2021
- Award / Honor Recipient: Presidential Distinction Award for Excellence in Scholarly/Creative Activity, College of Science and Engineering, Texas State University. August 2021
- Award / Honor Recipient: Teaching Award of Honor, Alumni Association. August 2020
Selected Grants
- 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). Automatic Generation of Algorithms for High-Speed Reliable Lossy Compression, Department of Energy, Federal, $598261. (Funded: September 1, 2021 - August 31, 2024). Grant.
- Burtscher, Martin (Principal). Improving the Energy Efficiency of Computers using Bit-Flip Minimization, Research Enhancement Program at Texas State University, Texas State University, $8000. (Funded: January 1, 2021 - May 31, 2022). Grant.
Selected Service Activities
Faculty Mentor
Texas State University
2022-Present
Chair
Presidential Awards Nomination Committee
2018-Present
Member
NCWIT Extension Services Team
2018-Present
Member
Personnel Committee
2015-Present
Member
National Center for Women & Information Technology (NCWIT)
2015-Present