Scientific Computing

Ruben Laso Rodriguez, PhD

Research Group Scientific Computing
Währinger Straße 29
1090 Wien
Room : 6.19
ruben.laso.rodriguez(at)univie.ac.at
u:cris portal

Courses

Publications

Tuned your MPI library? Now check the performance guidelines. / Hunold, Sascha (Corresponding author); Träff, Jesper Larsson; Laso, Ruben.
In: Parallel Computing, Vol. 129, 103205, 09.2026.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1016/j.parco.2026.103205

Cheesemap: A high-performance point-indexing data structure for neighbor search in LiDAR data. / Laso, Ruben; Yermo, Miguel.
In: Future Generation Computer Systems, Vol. 175, 108060, 02.2026.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1016/j.future.2025.108060

Cheesemap: A high-performance point-indexing data structure for neighbor search in LiDAR data. / Laso, Ruben (Corresponding author); Yermo, Miguel.
In: Future Generation Computer Systems, Vol. 175, 108060, 02.2026.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1016/j.future.2025.108060

Reproducibility Report for SC25 Paper Addressing Reproducibility Challenges in HPC with Continuous Integration. / Laso, Ruben.
SC '25: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. Association for Computing Machinery (ACM), 2025.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1145/3712285.3769443

Reproducibility Report for SC25 Paper RAPTOR: Practical Numerical Profiling of Scientific Applications. / Laso, Ruben.
SC '25: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. Association for Computing Machinery (ACM), 2025.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1145/3712285.3769445

Mpisee: Communicator-Centric Profiling of MPI Applications. / Vardas, Ioannis; Larsson Träff, Jesper; Laso Rodriguez, Ruben et al.
In: Concurrency and Computation: Practice and Experience, Vol. 37, No. 15-17, e70158, 25.07.2025.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1002/cpe.70158

Cheesemap: A High-Performance Point-Indexing Data Structure for Neighbor Search in LiDAR Data. / Laso Rodriguez, Ruben.
2025.

Publications: Working paper › Preprint

Exploring NCCL Tuning Strategies for Distributed Deep Learning. / Beni, Majid Salimi; Laso, Ruben; Cosenza, Biagio et al.
Proceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025. IEEE, 2025. p. 59-62.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1109/IPDPSW66978.2025.00015

ncclsee: A Lightweight Profiling Tool for NCCL. / Vardas, Ioannis; Laso, Ruben; Beni, Majid Salimi.
Austrian-Slovenian HPC Meeting 2025. ed. / Damjan Harisch. 2025. p. 39.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Optimizing Distributed Deep Learning Training by Tuning NCCL. / Beni, Majid Salimi; Laso, Ruben; Cosenza, Biagio et al.
Austrian-Slovenian HPC Meeting 2025. ed. / Damjan Harisch. Wien: EuroCC Austria, 2025. p. 38.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

SYCL for CPU+GPU Heterogeneous Computing: A Study on Integrated and Discrete GPUs. / Alcaraz, Silvia R.; Laso, Ruben; Vilariño, David López et al.
Proceedings of the 2025 IEEE International Conference on Cluster Computing Workshops, CLUSTER Workshops 2025. Red Hook: IEEE, 2025. p. 1-2.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1109/CLUSTERWorkshops65972.2025.11164210

Unveiling the Energy Cost of Parallel Performance Portability in C++. / Laso, Ruben; Benkner, Siegfried; Hunold, Sascha.
Austrian-Slovenian HPC Meeting 2025. ed. / Damjan Harisch. Wien: EuroCC Austria, 2025. p. 9.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Exploring Scalability in C++ Parallel STL Implementations. / Laso, Ruben; Krupitza, Diego; Hunold, Sascha.
The 53rd International Conference on Parallel Processing (ICPP 2024) : Main Conference Proceedings. New York: Association for Computing Machinery (ACM), 2024. p. 284-293.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.1145/3673038.3673065

Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing. / Alcaraz, Silvia R. (Corresponding author); Laso, Ruben; Lorenzo, Oscar G. et al.
In: Journal of Supercomputing: an international journal of supercomputing design, analysis and use, Vol. 80, No. 9, 9, 2024, p. 13295-13316.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1007/s11227-024-05958-5

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys. / Yermo, Miguel (Corresponding author); Laso, Ruben; Lorenzo, Oscar G. et al.
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, 2024, p. 10137-10157.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1109/JSTARS.2024.3396522

pSTL-Bench: A Micro-Benchmark Suite for Assessing Scalability of C++ Parallel STL Implementations. / Laso, Ruben; Krupitza, Diego; Hunold, Sascha.
2024.

Publications: Working paper › Preprint

doi.org/10.48550/arXiv.2402.06384

CIMAR, NIMAR, and LMMA: Novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters. / Laso, Ruben (Corresponding author); Lorenzo, Oscar G.; Cabaleiro, José Carlos et al.
In: Future Generation Computer Systems, Vol. 129, 04.2022, p. 18-32.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1016/j.future.2021.11.008

Load balanced heterogeneous parallelism for finite difference problems on image denoising. / Laso, Ruben; Cabaleiro, José Carlos; Rivera, Francisco F. et al.
In: Computational and mathematical methods, Vol. 3, No. 3, e1089, 05.2021.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1002/cmm4.1089

IHP: a dynamic heterogeneous parallel scheme for iterative or time-step methods - image denoising as case study. / Laso, Ruben (Corresponding author); Cabaleiro, José Carlos; Rivera, Francisco F. et al.
In: Journal of Supercomputing: an international journal of supercomputing design, analysis and use, Vol. 77, No. 1, 1, 01.2021, p. 95-110.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1007/s11227-020-03260-8

LBMA and IMAR2: Weighted lottery based migration strategies for NUMA multiprocessing servers. / Laso, Ruben (Corresponding author); Lorenzo, Oscar G.; Rivera, Francisco F. et al.
In: Concurrency and Computation: Practice & Experience, Vol. 33, No. 11, e5950, 2021.

Publications: Contribution to journal › Article › Peer Reviewed

doi.org/10.1002/cpe.5950
1 - 20 out of 22

Talks

“NUMA, Portability, and AI: Three Bites of HPC

Laso Rodriguez, R. (Speaker)

1 Jul 2025

Activity: Talks and presentations › Talk or oral contribution › Science to Science

NUMA, Portability, and AI: Three Bites of HPC

Laso Rodriguez, R. (Speaker)

1 Jul 2025

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Unveiling the Energy Cost of Parallel Performance Portability in C++

Laso Rodriguez, R. (Speaker)

20 May 2025

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Performance Portability in C++: Standard Is (Maybe) the Way

Laso Rodriguez, R. (Speaker)

13 Feb 2025

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Reproducing C++ Multicore and GPU Benchmark Results on Chameleon Cloud

Laso Rodriguez, R. (Speaker)

18 Nov 2024

Activity: Talks and presentations › Talk or oral contribution › Science to Science

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