Ioannis Vardas

Univ.Ass. / MSc

Ioannis Vardas

Role

PreDoc Researcher
Parallel Computing, E191-04

Contact

Projects

Algorithm Engineering for Process Mapping
2019 – 2024 / Austrian Science Fund (FWF)
Publications: 136174 / 137932 / 141845 / 176488 / 189827 / 191197 / 191155 / 192198 / 204353 / 55551 / 58196 / 135871

Publications

Improved Parallel Application Performance and Makespan by Colocation and Topology-aware Process Mapping / Vardas, I., Hunold, S., SWARTVAGHER, P., & Träff, J. L. (2024). Improved Parallel Application Performance and Makespan by Colocation and Topology-aware Process Mapping. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 119–124). IEEE. https://doi.org/10.1109/CCGrid59990.2024.00023
Projects: Autotune (2021–2025) / Process Mapping (2019–2024)
Using Mixed-Radix Decomposition to Enumerate Computational Resources of Deeply Hierarchical Architectures / Swartvagher, P., Hunold, S., Träff, J. L., & Vardas, I. (2023). Using Mixed-Radix Decomposition to Enumerate Computational Resources of Deeply Hierarchical Architectures. In Proceedings of 2023 SC23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis (SC 2023 Workshops) (pp. 405–415). ACM. https://doi.org/10.1145/3624062.3624109
Download: PDF (1.02 MB)
Project: Process Mapping (2019–2024)
Library Development with MPI: Attributes, Request Objects, Group Communicator Creation, Local Reductions, and Datatypes / Träff, J. L., & Vardas, I. (2023). Library Development with MPI: Attributes, Request Objects, Group Communicator Creation, Local Reductions, and Datatypes. In Proceedings of the 30th European MPI Users’ Group Meeting (EUROMPI 23). 30th European MPI Users’ Group Meeting (EuroMPI 2023), Bristol, United Kingdom of Great Britain and Northern Ireland (the). ACM. https://doi.org/10.1145/3615318.3615323
Download: PDF (568 KB)
Project: Process Mapping (2019–2024)
Massively Scaling Molecular Screening Workloads on EuroHPC Supercomputers / Hunold, S., Vardas, I., Ibis, G., & Langer, T. (2023). Massively Scaling Molecular Screening Workloads on EuroHPC Supercomputers. In E. Reiter (Ed.), Austrian-Slovenian HPC Meeting 2023 - ASHPC23 (pp. 51–51). EuroCC Austria. https://doi.org/10.34726/5366
Download: PDF (98.5 KB)
Project: HPsCreen (2022–2023)
Rank Reordering within MPI Communicators to Exploit Deep Hierarchal Architectures of Supercomputers / Swartvagher, P., Vardas, I., Hunold, S., & Träff, J. L. (2023). Rank Reordering within MPI Communicators to Exploit Deep Hierarchal Architectures of Supercomputers. In E. Reiter (Ed.), Austrian-Slovenian HPC Meeting 2023 - ASHPC23 (pp. 61–61). EuroCC Austria. https://doi.org/10.34726/5368
Download: PDF (207 KB)
Project: Process Mapping (2019–2024)
Effects of Mapping Strategies on Average Duration and Throughput of Colocated HPC Applications / Vardas, I., Hunold, S., Swartvagher, P., & Träff, J. L. (2023). Effects of Mapping Strategies on Average Duration and Throughput of Colocated HPC Applications. In E. Reiter (Ed.), Austrian-Slovenian HPC Meeting 2023 - ASHPC23 (pp. 10–10). EuroCC Austria. https://doi.org/10.34726/5330
Download: PDF (329 KB)
Project: Process Mapping (2019–2024)
Uniform Algorithms for Reduce-scatter and (most) other Collectives for MPI / Träff, J. L., Hunold, S., Vardas, I., & Funk, N. M. (2023). Uniform Algorithms for Reduce-scatter and (most) other Collectives for MPI. In 2023 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 284–294). IEEE. https://doi.org/10.1109/CLUSTER52292.2023.00031
An Overhead Analysis of MPI Profiling and Tracing Tools / Hunold, S., Ajanohoun, J. I., Vardas, I., & Träff, J. L. (2022). An Overhead Analysis of MPI Profiling and Tracing Tools. In C. Scully-Allison, R. Liem, & A. V. Solorzano (Eds.), PERMAVOST 2022: Proceedings of the 2nd Workshop on Performance Engineering, Modelling, Analysis, and Visualization Strategy (pp. 5–13). Association for Computing Machinery (ACM). https://doi.org/10.1145/3526063.3535353
Download: Open Access (985 KB)
Projects: Autotune (2021–2025) / Process Mapping (2019–2024)
MPI Performance Tools under the Microscope: A Thorough Overhead Analysis / Ajanohoun, J. I., Vardas, I., Träff, J. L., & Hunold, S. (2022). MPI Performance Tools under the Microscope: A Thorough Overhead Analysis. In E. Reiter (Ed.), Austrian-Slovenian HPC Meeting 2022 - ASHPC22 (p. 16). EuroCC Austria. http://hdl.handle.net/20.500.12708/55697
mpisee: MPI Profiling for Communication and Communicator Structure / Vardas, I., Hunold, S., Ajanohoun, J. I., & Träff, J. L. (2022). mpisee: MPI Profiling for Communication and Communicator Structure. In E. Reiter (Ed.), Austrian-Slovenian HPC Meeting 2022 - ASHPC22 (p. 15). EuroCC Austria. http://hdl.handle.net/20.500.12708/55696
mpisee: MPI Profiling for Communication and Communicator Structure / Vardas, I., Hunold, S., Ajanohoun, J. I., & Traff, J. L. (2022). mpisee: MPI Profiling for Communication and Communicator Structure. In 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2022) (pp. 520–529). IEEE. https://doi.org/10.1109/IPDPSW55747.2022.00092
Projects: Autotune (2021–2025) / Process Mapping (2019–2024)