Sergio Iserte Agut

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Biography

Dr. Sergio Iserte holds the degrees of BS in Computer Engineering (2011), MS in Intelligent Systems (2014), and PhD in Computer Science (2018) from Universitat Jaume I (UJI), Spain. Sergio is a senior researcher in the Computer Science Department at Barcelona Supercomputing Center (BSC), and instructor of the High-performance Computing (HPC) course in the Computer Science Master at Open University of Catalonia (UOC). He is currently involved in projects related to parallel distributed computing, resource management, workload modeling, deep learning for industrial applications, and in-network accelerators.
 
Check more detailed and updated information in https://siserte.github.io.

Research

Journals

  • R. Martínez-Cuenca, J. Luis-Gómez, S. Iserte, and S. Chiva, "On the Use of Deep Learning and Computational Fluid Dynamics for the Estimation of Uniform Momentum Source Components of Propellers",  iScience (26), pp. 1-14, Oct. 2023. ISBN: pending.  https://doi.org/10.1016/j.isci.2023.108297
  • P. Rosciszewski, A. Krzywaniak, S. Iserte, K. Rojek, and P. Gepner, "Optimizing Throughput of Seq2Seq Model Training on the IPU Platform for AI-accelerated CFD Simulations", Future Generation Computer Systems (143), pp. 149-162, May 2023. ISBN 0167-739X. https://doi.org/10.1016/j.future.2023.05.004 
  • I. Martín-Álvarez, J. I. Aliaga , M. Castillo, S. Iserte, and R. Mayo, "Dynamic spawning of MPI processes applied to malleability",  International Journal of High Performance Computing Applications  (0), pp. 1-25, May 2023. ISBN pending. https://doi.org/10.1177/10943420231176527
  • S. Iserte, A. González-Barberá, P. Barreda, and K. Rojek, "A Study on the Performance of Distributed Training of Data-driven CFD Simulations", International Journal of High Performance Computing Applications (37), pp. 503-515, May 2023. ISSN 1094-3420. https://doi.org/10.1177/10943420231160557 
  • S. Iserte, A. Macías, R. Martínez-Cuenca, S. Chiva, R. Paredes, and E. S. Quintana-Ortí, "Accelerating Urban Scale Simulations Leveraging Local Spatial 3D Structure",  Journal of Computational Science (62), pp. 1-11, July 2022. ISSN 1877-7503.  https://doi.org/10.1016/j.jocs.2022.101741​
  • J. I. Aliaga, M. Castillo, S. Iserte, I. Martín-Álvarez, and R. Mayo, "A Survey on Malleability Solutions for High-Performance Distributed Computing", Applied Science (12), pp. 1-32, May 2022. ISSN: 2076-3417. https://doi.org/10.3390/app12105231 
  • S. Iserte, P. Carratalà, R. Arnau, R. Martínez-Cuenca, P. Barreda, L. Basiero, J. Climent, and S. Chiva, "Modeling of Wastewater Treatment Processes with HydroSludge", Water Environment Research (93), pp. 3049-3063, Oct. 2021. ISSN 1061-4303. https://doi.org/10.1002/wer.1656 
  • S. Catalán, R. Carratalá-Sáez, and S. Iserte, "Leveraging Teaching on Demand: Approaching HPC to Undergrads", Journal of Parallel and Distributed Computing (156), pp. 148-162, Oct. 2021. ISSN 0743-7315. https://doi.org/10.1016/j.jpdc.2021.05.015
  • S. Iserte and K. Rojek, "A Study of the Effect of Process Malleability in the Energy Efficiency on GPU-based Clusters", Journal of Supercomputing (76), pp. 255–274, Oct. 2020. ISSN: 0920-8542. https://doi.org/10.1007/s11227-019-03034-x 
  • S. Iserte, R. Mayo, E. S. Quintana-Ortí, and A. J. Peña, "DMRlib: Easy-coding and Efficient Resource Management for Job Malleability", IEEE Transactions on Computers (70), pp. 1443 - 1457, Sep. 2020. ISSN: 0018-9340. https://doi.org/10.1109/TC.2020.3022933 
  • F. Silla, S. Iserte, C. Reaño, and J. Prades, "Improving the Management Efficiency of GPU Workloads in Data Centers through GPU Virtualization", Concurrency and Computation: Practice and Experience Journal (33), pp. 1-10, Apr. 2019. ISSN: 1532-0626. https://doi.org/10.1002/cpe.5275 
  • S. Iserte, H. Martínez, S. Barrachina, M. Castillo, R. Mayo, and A. J. Peña, "Dynamic Reconfiguration of Non-iterative Scientific Applications: A Case Study with HPG-aligner", International Journal of High Performance Computing Application (33), pp. 1-10, Aug. 2018. ISSN: 1094-3420. https://doi.org/10.1177/1094342018802347 
  • S. Iserte, R. Mayo, E. S. Quintana-Ortí, V. Beltran, and A. J. Peña, "DMR API: Improving Cluster Productivity by Turning Applications into Malleable", Paralllel Computing (78), pp. 54-66, July 2018. ISSN: 0167-8191. https://doi.org/10.1016/j.parco.2018.07.006 
  • S. Iserte, R. Peña-Ortíz, J. Gutiérrez-Aguado, J. M. Claver, and R. Mayo, "GSaaS: A Service to Cloudify and Schedule GPUs", IEEE Access (6), pp. 39762-39774, July 2018. ISSN: 2169-3536. https://doi.org/10.1109/ACCESS.2018.2855261 
  • F. Silla, S. Iserte, C. Reaño, and J. Prades, "On the Benefits of the Remote GPU Virtualization Mechanism: the rCUDA Case", Concurrency and Computation: Practice and Experience Journal (29), pp. 1-10, Feb. 2017. ISSN: 1532-0634. https://dx.doi.org/10.1002/cpe.4072.
  • M. F. Dolz, J. C. Fernández, S. Iserte, R. Mayo, and E. S. Quintana, "A Simulator to Assess Energy Saving Strategies and Policies in HPC Workloads", ACM Operating Systems Review (49), pp. 2-9, July 2012. ISSN: 0163-5980. https://dx.doi.org/10.1145/2331576.2331578 

International Conferences

  • I. Martín-Álvarez, J. I. Aliaga, M. Castillo, and S. Iserte, "Configurable synthetic application for studying malleability in HPC", in 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Naples (Italy), Mar. 2023. ISBN: 979-8-3503-3763-1. Acceptance rate: 33%.
  • F. Costa Majó, P. Barreda, and S. Iserte, "A Distributed Mesh Generation Study Case through a Customizable Platform as a Service Framework", in 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), Online, Jul. 2021. ISBN: 978-758-528-9. Acceptance rate: 26%  
  • S. Iserte, J. Prades, C. Reaño, and F. Silla, "Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm",  in 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Cartagena (Colombia), May 2016. ISBN: 978-1-5090-2452-0. Acceptance rate: 23%
  • S. Iserte, F. J. Clemente-Castelló, A. Castelló, R. Mayo, and E. S. Quintana-Ortí, "Enabling GPU Virtualization in Cloud Environments", in 6th International Conference on Cloud Computing and Services Science (CLOSER), Rome (Italy), Apr. 2016. ISBN: 978-989-758-182-3
  • S. Iserte, A. Castelló, R. Mayo, E. S. Quintana-Ortí, C. Reaño, J. Prades, F. Silla, and J. Duato, "Slurm Support for Remote GPU Virtualization: Implementation and Performance Study", in 26th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Paris (France), Oct. 2014. ISBN: 1550-6533/14. Acceptance rate: 32.6% 
  • M. F. Dolz, J. C. Fernández, S. Iserte, R. Mayo, E. S. Quintana, M. E. Cotallo, and G. Díaz, "EnergySaving Cluster Experience in CETA-CIEMAT", in 5th Iberian Grid Infrastructure Conference (IBERGRID), Santander (Spain), June 2011. ISBN: 978-84-9745-884-9

International Workshops

  • M. Usman, S.Iserte, R. Ferrer, and A. J. Peña, "DPU Offloading Programming with the OpenMP API", in LLVM-HPC23 held in conjunction with SC, Denver, Colorado (USA), Nov. 2023. ISBN: 979-8-400-70785-8. https://doi.org/10.1145/3624062.3624165 
  • I. Martín, M. Castillo, J. I. Aliaga, and S.Iserte, "Efficient Data Redistribution for Malleable Applications", in ExaMPI23 held in conjunction with SC, Denver, Colorado (USA), Nov. 2023. ISBN: 979-8-400-70785-8. https://doi.org/10.1145/3624062.3624110
  • P. Rosciszewski, A. Krzywaniak, S. Iserte, K. Rojek, and P. Gepner, "Adaptation of AI-accelerated CFD simulations to the IPU platform", in 1st Workshop  on Applications of Machine Learning and Artificial Intelligence in High-Performance Computing (WAML-HPC) held in conjunction with PPAM, Gdansk (Poland), Sep. 2022. ISBN: 978-3-031-30445-3. https://doi.org/10.1007/978-3-031-30445-3_19
  • S. Iserte, R. Mayo, E. S. Quintana-Ortí, V. Beltran, and A. J. Peña, "Efficient Scalable Computing through Flexible Applications and Adaptive Workloads",  in 10th International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2) held in conjunction with IPDPS, Bristol (United Kingdom), Aug. 2017. ISBN: 978-1-5386-1044-2
  • F. Silla, J. Prades, S. Iserte, and C. Reaño, "Remote GPU Virtualization: Is It Useful?" in 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB), Barcelona (Spain), Mar. 2016. ISBN: 978-1-5090-2121-5
  • M. F. Dolz, J. C. Fernández, S. Iserte, R. Mayo, and E. S. Quintana, "A Flexible Simulator to Evaluate a Power Saving System for HPC Clusters", in 2nd International Workshop on Green Computing Middleware (GCM), Lisboa (Portugal). Dec. 2011. ISBN: 978-1-4503-1064-2

Books and Chapters

  • S. Iserte, "A Study on the Resource Utilization and User Behavior on Titan Supercomputer", Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation (1512), pp. 1-8, Mar. 2022. ISBN : 978-3-030-96497-9. https://doi.org/10.1007/978-3-030-96498-6_23 
  • S. Iserte, S. Catalán, R. Carratalá-Saez, and S. López, "Construya su propio supercomputador con Raspberri Pi", Ed. Marcombo, 2021. ISBN: 978-84-267-3281-1 

Teaching

  • Since 2020 Open University of Catalonia (UOC) - Master's Degree in Computational Engineering and Mathematics: High Performance Computing.
  • 2020/2023 Jaume I University (UJI) - Department of Computer Science and Engineering: Advanced Data Bases; Artificial Intelligence; New Technologies for Language, Human, and Psicology Studies.
  • 2018/2020 University of València (UV) - Department of Computer Science: Sound Systems and Music Technology; Transmissions, Images, and Sound; Engineering, Society, and University.