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Antonio J. Peña

Observed names: A. J. Pena, A. J. Peña, A.J. Peña, Antonio J Peña, Antonio J. Pena, Antonio José Peña, Antonio Pena, Antonio Peña, Pena, Antonio J., Peña, Antonio, Peña, Antonio J, Peña, Antonio J.
Observed institutions: Universitat Jaume I, Argonne National Laboratory, Barcelona Supercomputing Center, i2CAT, Universitat Politècnica de València, Universitat Politècnica de Catalunya
ORCID: 0000-0002-3575-4617
Observed ORCID: 0000-0002-3575-4617
OpenAlex ID: A5000573036
rCUDA: Reducing the number of GPU-based accelerators in high performance clusters
2010 · Jose Duato, Antonio J. Pena, et al. · International Conference on High Performance Computing & Simulation (HPCS) · 271
Chai: Collaborative heterogeneous applications for integrated-architectures
2017 · Juan Gomez-Luna, Izzat El Hajj, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 82
Performance Evaluation of cuDNN Convolution Algorithms on NVIDIA Volta GPUs
2019 · Marc Jorda, Pedro Valero-Lara, et al. · IEEE Access · 78
Enabling CUDA acceleration within virtual machines using rCUDA
2011 · Jose Duato, Antonio J. Pena, et al. · IEEE International Conference on High Performance Computing, Data, and Analytics · 73
A complete and efficient CUDA-sharing solution for HPC clusters
2014 · Antonio J. Peña, Carlos Reaño, et al. · Parallel Computing · 71
Integrating blocking and non-blocking MPI primitives with task-based programming models
2018 · Kevin Sala, Xavier Teruel, et al. · Parallel Computing · 51
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An Efficient Implementation of GPU Virtualization in High Performance Clusters
2010 · José Duato, Francisco D. Igual, et al. · Lecture notes in computer science · 45
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Casper: An Asynchronous Progress Model for MPI RMA on Many-Core Architectures
2015 · Min Si, Antonio J. Pena, et al. · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 43
MT-MPI
2014 · Min Si, Antonio J. Peña, et al. · International Conference on Supercomputing · 43
Automating the Application Data Placement in Hybrid Memory Systems
2017 · Harald Servat, Antonio J. Pena, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 41
DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability
2020 · Sergio Iserte, Rafael Mayo, et al. · IEEE Transactions on Computers · 40
Performance of CUDA Virtualized Remote GPUs in High Performance Clusters
2011 · Jose Duato, Antonio J. Pena, et al. · Proceedings of the International Conference on Parallel Processing · 39
Enabling Homomorphically Encrypted Inference for Large DNN Models
2021 · Guillermo Lloret-Talavera, Marc Jorda, et al. · IEEE Transactions on Computers · 37
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Toward the efficient use of multiple explicitly managed memory subsystems
2014 · Antonio J. Pena, Pavan Balaji · IEEE International Conference on Cluster Computing (CLUSTER) · 37
CU2rCU: Towards the complete rCUDA remote GPU virtualization and sharing solution
2012 · C. Reaño, A. J. Peña, et al. · IEEE International Conference on High Performance Computing, Data, and Analytics · 35
cuThomasBatch and cuThomasVBatch, CUDA Routines to compute batch of tridiagonal systems on NVIDIA GPUs
2018 · Pedro Valero‐Lara, Ivan Martínez‐Pérez, et al. · Concurrency and Computation Practice and Experience · 34
Malleability in Modern HPC Systems: Current Experiences, Challenges, and Future Opportunities
2024 · Ahmad Tarraf, Martin Schreiber, et al. · IEEE Transactions on Parallel and Distributed Systems · 32
Evaluating the effect of last-level cache sharing on integrated GPU-CPU systems with heterogeneous applications
2016 · Vıctor Garcıa, Juan Gomez-Luna, et al. · IEEE International Symposium on Workload Characterization · 30
DMR API: Improving cluster productivity by turning applications into malleable
2018 · Sergio Iserte, Rafael Mayo, et al. · Parallel Computing · 28
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Exploring the Vision Processing Unit as Co-Processor for Inference
2018 · Sergio Rivas-Gomez, Antonio J. Pena, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 28
Improving the Interoperability between MPI and Task-Based Programming Models
2018 · Kevin Sala, Jorge Bellón, et al. · European MPI Users' Group Meeting (EuroMPI) · 25
cuHinesBatch: Solving Multiple Hines systems on GPUs Human Brain Project * *This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the project Computación de Altas Prestaciones VII (TIN2015-65316-P) and the Departament d'Innovació, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programació i Entorns d'Execució Paral lels (2014-SGR-1051). We thank the support of NVIDIA through the BSC/UPC NVIDIA GPU Center of Excellence. Antonio J. Peña is cofinanced by the Spanish Ministry of Economy and Competitiveness under Juan de la Cierva fellowship number IJCI-2015-23266.
2017 · Pedro Valero-Lara, Ivan Martínez-Perez, et al. · Procedia Computer Science · 25
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MultiCL: Enabling automatic scheduling for task-parallel workloads in OpenCL
2016 · Ashwin M. Aji, Antonio J. Peña, et al. · Parallel Computing · 22
Influence of InfiniBand FDR on the performance of remote GPU virtualization
2013 · C. Reano, R. Mayo, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 22
Efficient Scalable Computing through Flexible Applications and Adaptive Workloads
2017 · Sergio Iserte, Rafael Mayo, et al. · International Conference on Parallel Processing Workshops (ICPPW) · 21
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Works count: 109
Citation count: 1,652
H-index: 22
I10-index: 42
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