Dieses Bild zeigtAlexander Strack

Alexander Strack

M.Sc.

Wissenschaftlicher Mitarbeiter
IPVS
Scientific Computing

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+49 711 685 88308
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Universitätsstraße 38
70569 Stuttgart
Deutschland
Raum: 2.041

Sprechstunde

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  1. 2026

    1. 14. Thüring, T., Strack, A., Pflüger, D.: Comparing the Performance of Heterogeneous Conjugate Gradient and Cholesky Solvers on Various Hardware Using SYCL. In: Proceedings of the International Workshop on OpenCL and SYCL. Association for Computing Machinery, New York, NY, USA (2026). https://doi.org/10.1145/3811257.3811260.
    2. 13. Strack, A., Taylor, C., Pflüger, D.: Parallel FFTW on RISC-V: A Comparative Study Including OpenMP, MPI, and HPX. In: Neuwirth, S., Paul, A.K., Weinzierl, T., and Carson, E.C. (eds.) High Performance Computing. pp. 586–597. Springer Nature Switzerland, Cham (2026). https://doi.org/10.1007/978-3-032-07612-0_45.
    3. 12. Möllmann, H., Pflüger, D., Strack, A.: GPU-Resident Gaussian Process Regression Leveraging Asynchronous Tasks with HPX. In: Diehl, P., Rampp, M., Laure, E., and Schulz, M. (eds.) Asynchronous Many-Task Systems and Applications. pp. 27–39. Springer Nature Switzerland, Cham (2026). https://doi.org/10.1007/978-3-032-27676-6_3.
    4. 11. Helmann, M., Strack, A., Pflüger, D.: GPRat: Gaussian Process Regression with Asynchronous Tasks. In: Diehl, P., Cao, Q., Herault, T., and Bosilca, G. (eds.) Asynchronous Many-Task Systems and Applications. pp. 83–94. Springer Nature Switzerland, Cham (2026). https://doi.org/10.1007/978-3-031-97196-9_7.
    5. 10. Bantel, L., Strack, M., Strack, A., Pflüger, D.: From Prompts to Performance: Evaluating LLMs for Task-Based Parallel Code Generation. In: Diehl, P., Rampp, M., Laure, E., and Schulz, M. (eds.) Asynchronous Many-Task Systems and Applications. pp. 15–26. Springer Nature Switzerland, Cham (2026). https://doi.org/10.1007/978-3-032-27676-6_2.
    6. 9. Strack, A., Kaiser, H., Pflüger, D.: Radiation Hydrodynamics at Scale: Comparing MPI and Asynchronous Many-Task Runtimes with FleCSI, (2026). https://doi.org/10.48550/arXiv.2603.05366.
    7. 8. Strack, A., Graf, M., Craen, A.V., Pflüger, D.: PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs, https://arxiv.org/abs/2607.20650, (2026).
    8. 7. Strack, A., Diehl, P., Pflüger, D.: Is RISC-V Ready for Machine Learning? Portable Gaussian Processes Using Asynchronous Tasks, (2026). https://doi.org/10.48550/arXiv.2604.00736.
    9. 6. Strack, A., Craen, A.V., Pflüger, D.: From Fork-Join to Asynchronous Tasks: Parallelizing Tiled Cholesky Decomposition with OpenMP and HPX, (2026). https://doi.org/10.48550/arXiv.2606.11937.

  2. 2025

    1. 5. Loiseau, J., Lim, H., Yagüe López, A., Baghirzade, M., Khan, S.S., Kim, Y., Neopane, S., Strack, A., Taiyebah, F., Bergen, B.: HARD: A performance portable radiation hydrodynamics code based on FleCSI framework. SoftwareX. 32, 102441 (2025). https://doi.org/10.1016/j.softx.2025.102441.
    2. 4. Strack, A., Pflüger, D.: A HPX Communication Benchmark: Distributed FFT Using Collectives. In: Caino-Lores, S., Zeinalipour, D., Doudali, T.D., Singh, D.E., Garzón, G.E.M., Sousa, L., Andrade, D., Cucinotta, T., D’Ambrosio, D., Diehl, P., Dolz, M.F., Jukan, A., Montella, R., Nardelli, M., Garcia-Gasulla, M., and Neuwirth, S. (eds.) Euro-Par 2024: Parallel Processing Workshops. pp. 271–274. Springer Nature Switzerland, Cham (2025). https://doi.org/10.1007/978-3-031-90203-1_25.
    3. 3. Schuchart, J., Diehl, P., Bauer, M., Bouteiller, A., Daiss, G., Kayraklioglu, E., Khandekar, S., Herault, T., Holmen, J., Rao, R., Strack, A., Schlaughter, E., Spinti, J., Thornock, J., Aiken, A., Aumage, O., Berzins, M., Bosilca, G., hamberlain, B., Kale, L.: A Survey of Distributed Asynchronous Many-Task Models and Their Applications, (2025). https://doi.org/10.36227/techrxiv.176652588.81044275/v1.

  3. 2024

    1. 2. Strack, A., Taylor, C., Diehl, P., Pflüger, D.: Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-Study. In: Diehl, P., Schuchart, J., Valero-Lara, P., and Bosilca, G. (eds.) Asynchronous Many-Task Systems and Applications. pp. 111–122. Springer Nature Switzerland, Cham (2024). https://doi.org/10.1007/978-3-031-61763-8_11.

  4. 2023

    1. 1. Strack, A., Pflüger, D.: Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc. In: Diehl, P., Thoman, P., Kaiser, H., and Kale, L. (eds.) Asynchronous Many-Task Systems and Applications. pp. 52–64. Springer Nature Switzerland, Cham (2023). https://doi.org/10.1007/978-3-031-32316-4_5.
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