Scholarly and Creative Works
2025
- Vanausdal, A. R., & Burtscher, M. (2025). ECL-MaxFlow: An Efficient Push-Relabel Implementation for Max-Flow Computations on GPUs. Retrieved from https://github.com/burtscher/ECL-MaxFlow
- Vanausdal, A. R., & Burtscher, M. (2025). An Efficient Push-Relabel Implementation for Max-Flow Computations on GPUs. In Proceedings of the 44th IEEE International Performance Computing and Communications Conference. IEEE. https://doi.org/10.1109/IPCCC66453.2025.11304666
- Vanausdal, A. R., & Burtscher, M. (2025). Comparing Graph Algorithm Styles on NVIDIA and AMD GPUs. https://doi.org/10.1145/3731599.3767444
2024
- Liu, Y., Azami, N., Vanausdal, A. R., & Burtscher, M. (2024). Indigo3: A Parallel Graph Analytics Benchmark Suite for Exploring Implementation Styles and Common Bugs. Retrieved from https://github.com/burtscher/Indigo3Suite/
- Liu, Y., Vanausdal, A. R., & Burtscher, M. (2024). ECL-Suite: Data-race-free High-performance Graph Analytics Codes for GPUs. Retrieved from https://github.com/burtscher/ECL-Suite/
- Liu, Y., Azami, N., Vanausdal, A. R., & Burtscher, M. (2024). Indigo3: A Parallel Graph Analytics Benchmark Suite for Exploring Implementation Styles and Common Bugs. ACM Transactions on Parallel Computing, 11.
2023
- 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/
- Liu, Y., Azami, N., Vanausdal, A. R., & Burtscher, M. (2023). Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs. San Marcos, United States. https://doi.org/10.1145/3581784.3607038
2022
- Liu, Y., Azami, N., Vanausdal, A. R., & Burtscher, M. (2022). Indigo: A Suite of Thousands of Correct and Buggy Parallel Code Patterns. Retrieved from https://cs.txstate.edu/~burtscher/research/IndigoSuite/