Sergio Iserte

According to our database, Sergio Iserte authored at least 28 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A study on the performance of distributed training of data-driven CFD simulations.

Sergio Iserte, Alejandro González-Barberá, Paloma Barreda, Krzysztof Rojek

Int. J. High Perform. Comput. Appl., September, 2023

Complete Integration of Team Project-Based Learning Into a Database Syllabus.

Sergio Iserte, Vicente R. Tomás, Miguel Perez, Maribel Castillo, Pablo Boronat, Luís A. García

IEEE Trans. Educ., June, 2023

Optimizing throughput of Seq2Seq model training on the IPU platform for AI-accelerated CFD simulations.

Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner

Future Gener. Comput. Syst., 2023

DPU Offloading Programming with the OpenMP API.

Muhammad Usman, Sergio Iserte, Roger Ferrer, Antonio José Peña

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Efficient data redistribution for malleable applications.

Iker Martín-Álvarez, José Ignacio Aliaga, Maribel Castillo, Sergio Iserte

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Configurable synthetic application for studying malleability in HPC.

Iker Martín-Álvarez, José Ignacio Aliaga, Maribel Castillo, Sergio Iserte

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

OpenMP Offloading to DPU.

Muhammad Usman, Sergio Iserte, Roger Ferrer, Antonio J. Peña

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Accelerating urban scale simulations leveraging local spatial 3D structure.

Sergio Iserte, Aina Macías, Raúl Martínez-Cuenca, Sergio Chiva, Roberto Paredes, Enrique S. Quintana-Ortí

J. Comput. Sci., 2022

Adaptation of AI-Accelerated CFD Simulations to the IPU Platform.

Pawel Rosciszewski, Adam Krzywaniak, Sergio Iserte, Krzysztof Rojek, Pawel Gepner

Proceedings of the Parallel Processing and Applied Mathematics, 2022

2021

DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability.

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Antonio J. Peña

IEEE Trans. Computers, 2021

Leveraging teaching on demand: Approaching HPC to undergrads.

Sandra Catalán, Rocío Carratalá-Sáez, Sergio Iserte

J. Parallel Distributed Comput., 2021

Improving the management efficiency of GPU workloads in data centers through GPU virtualization.

Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla

Concurr. Comput. Pract. Exp., 2021

An Study on the Resource Utilization and User Behavior on Titan Supercomputer.

Sergio Iserte

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

A Distributed Mesh Generation Study Case through a Customizable Platform as a Service Framework.

Francesc Costa-Majó, Paloma Barreda, Sergio Iserte

Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, 2021

Malleability Implementation in a MPI Iterative Method.

Iker Martín-Álvarez, José Ignacio Aliaga, María Isabel Castillo, Rafael Mayo, Sergio Iserte

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

An study of the effect of process malleability in the energy efficiency on GPU-based clusters.

Sergio Iserte, Krzysztof Rojek

J. Supercomput., 2020

2019

Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner.

Sergio Iserte, Héctor Martínez, Sergio Barrachina, Maribel Castillo, Rafael Mayo, Antonio J. Peña

Int. J. High Perform. Comput. Appl., 2019

Teaching on Demand: an HPC Experience.

Rocío Carratalá-Sáez, Sergio Iserte, Sandra Catalán

Proceedings of the 2019 IEEE/ACM Workshop on Education for High-Performance Computing, 2019

2018

High-throughput Computation through Efficient Resource Management.

Sergio Iserte

PhD thesis, 2018

DMR API: Improving cluster productivity by turning applications into malleable.

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Vicenç Beltran, Antonio J. Peña

Parallel Comput., 2018

GSaaS: A Service to Cloudify and Schedule GPUs.

Sergio Iserte, Raúl Peña-Ortiz, Juan Gutierrez-Aguado, José M. Claver, Rafael Mayo

IEEE Access, 2018

2017

On the benefits of the remote GPU virtualization mechanism: The rCUDA case.

Federico Silla, Sergio Iserte, Carlos Reaño, Javier Prades

Concurr. Comput. Pract. Exp., 2017

Efficient Scalable Computing through Flexible Applications and Adaptive Workloads.

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí, Vicenç Beltran, Antonio J. Peña

Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017

2016

Remote GPU Virtualization: Is It Useful?

Federico Silla, Javier Prades, Sergio Iserte, Carlos Reaño

Proceedings of the 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era HiPINEB@HPCA 2016, 2016

Enabling GPU Virtualization in Cloud Environments.

Sergio Iserte, Francisco J. Clemente-Castelló, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí

Proceedings of the CLOSER 2016, 2016

Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm.

Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2014

SLURM Support for Remote GPU Virtualization: Implementation and Performance Study.

Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades

Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

2012

A simulator to assess energy saving strategies and policies in HPC workloads.

Manuel F. Dolz, Juan Carlos Fernández, Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí

ACM SIGOPS Oper. Syst. Rev., 2012