Antonio J. Peña

1.5k total citations
59 papers, 932 citations indexed

About

Antonio J. Peña is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Antonio J. Peña has authored 59 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Hardware and Architecture, 46 papers in Computer Networks and Communications and 22 papers in Information Systems. Recurrent topics in Antonio J. Peña's work include Parallel Computing and Optimization Techniques (49 papers), Advanced Data Storage Technologies (25 papers) and Distributed and Parallel Computing Systems (22 papers). Antonio J. Peña is often cited by papers focused on Parallel Computing and Optimization Techniques (49 papers), Advanced Data Storage Technologies (25 papers) and Distributed and Parallel Computing Systems (22 papers). Antonio J. Peña collaborates with scholars based in Spain, United States and Japan. Antonio J. Peña's co-authors include Rafael Mayo, Enrique S. Quintana–Ort́ı, J. Duato, Federico Silla, Pavan Balaji, Pedro Valero‐Lara, Carlos Reaño, Yutaka Ishikawa, Min Si and Masamichi Takagi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and Future Generation Computer Systems.

In The Last Decade

Antonio J. Peña

56 papers receiving 897 citations

Peers

Antonio J. Peña
Angelos Bilas Greece
Thomas B. Jablin United States
Sunpyo Hong United States
Björn Franke United Kingdom
Gregory Diamos United States
Won Woo Ro South Korea
Joseph L. Greathouse United States
Rupesh Nasre India
Jianhua Sun China
David Nellans United States
Angelos Bilas Greece
Antonio J. Peña
Citations per year, relative to Antonio J. Peña Antonio J. Peña (= 1×) peers Angelos Bilas

Countries citing papers authored by Antonio J. Peña

Since Specialization
Citations

This map shows the geographic impact of Antonio J. Peña's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio J. Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio J. Peña more than expected).

Fields of papers citing papers by Antonio J. Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio J. Peña. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio J. Peña. The network helps show where Antonio J. Peña may publish in the future.

Co-authorship network of co-authors of Antonio J. Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio J. Peña. A scholar is included among the top collaborators of Antonio J. Peña based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio J. Peña. Antonio J. Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Iserte, Sergio, et al.. (2025). Resource optimization with MPI process malleability for dynamic workloads in HPC clusters. Future Generation Computer Systems. 174. 107949–107949.
2.
Huber, D. M., Sergio Iserte, Martin Schreiber, Antonio J. Peña, & Martin Schulz. (2025). Bridging the Gap Between Genericity and Programmability of Dynamic Resources in HPC. SPIRE - Sciences Po Institutional REpository. 1–11.
3.
4.
Monteiro, José, et al.. (2022). OmpSs-2 and OpenACC Interoperation. QRU Quaderns de Recerca en Urbanisme. 11–21. 1 indexed citations
5.
Monteiro, José, et al.. (2022). Towards OmpSs-2 and OpenACC interoperation. QRU Quaderns de Recerca en Urbanisme. 433–434. 2 indexed citations
6.
Si, Min, Antonio J. Peña, Jeff R. Hammond, et al.. (2018). Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications. IEEE Transactions on Parallel and Distributed Systems. 29(9). 1975–1989. 8 indexed citations
7.
Castelló, Adrián, et al.. (2018). On the adequacy of lightweight thread approaches for high-level parallel programming models. Future Generation Computer Systems. 84. 22–31. 3 indexed citations
8.
Valero‐Lara, Pedro, Raül Sirvent, Antonio J. Peña, Xavier Martorell, & Jesús Labarta. (2018). MPI+OpenMP Tasking Scalability for the Simulation of the Human Brain. QRU Quaderns de Recerca en Urbanisme. 1–8. 4 indexed citations
9.
Valero‐Lara, Pedro, et al.. (2017). 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.. Procedia Computer Science. 108. 566–575. 12 indexed citations
10.
Peña, Antonio J., et al.. (2017). Automating the Application Data Placement in Hybrid Memory Systems. QRU Quaderns de Recerca en Urbanisme. 126–136. 27 indexed citations
11.
Iserte, Sergio, Rafael Mayo, Enrique S. Quintana–Ort́ı, Vicenç Beltrán, & Antonio J. Peña. (2017). Efficient Scalable Computing through Flexible Applications and Adaptive Workloads. QRU Quaderns de Recerca en Urbanisme. 180–189. 16 indexed citations
12.
Aji, Ashwin M., Antonio J. Peña, Pavan Balaji, & Wu-chun Feng. (2015). Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL. 42–51. 16 indexed citations
13.
Si, Min, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, & Yutaka Ishikawa. (2015). Scaling NWChem with Efficient and Portable Asynchronous Communication in MPI RMA. 811–816. 8 indexed citations
14.
Peña, Antonio J. & Pavan Balaji. (2015). A data-oriented profiler to assist in data partitioning and distribution for heterogeneous memory in HPC. Parallel Computing. 51. 46–55. 4 indexed citations
15.
Peña, Antonio J. & Pavan Balaji. (2014). Toward the efficient use of multiple explicitly managed memory subsystems. 123–131. 23 indexed citations
16.
Castelló, Adrián, J. Duato, Rafael Mayo, et al.. (2014). On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications. 57–62. 8 indexed citations
17.
Peña, Antonio J. & Pavan Balaji. (2014). A Framework for Tracking Memory Accesses in Scientific Applications. 235–244. 8 indexed citations
18.
Reaño, Carlos, Federico Silla, Antonio J. Peña, et al.. (2014). POSTER: Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0. RiuNet (Politechnical University of Valencia). 266–267. 2 indexed citations
19.
20.
Duato, J., Francisco D. Igual, Rafael Mayo, et al.. (2010). An efficient implementation of GPU virtualization in high performance clusters. Lecture notes in computer science. 385–394. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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