Federico Silla

2.2k total citations
112 papers, 1.4k citations indexed

About

Federico Silla is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Federico Silla has authored 112 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Networks and Communications, 87 papers in Hardware and Architecture and 49 papers in Information Systems. Recurrent topics in Federico Silla's work include Parallel Computing and Optimization Techniques (80 papers), Interconnection Networks and Systems (57 papers) and Cloud Computing and Resource Management (49 papers). Federico Silla is often cited by papers focused on Parallel Computing and Optimization Techniques (80 papers), Interconnection Networks and Systems (57 papers) and Cloud Computing and Resource Management (49 papers). Federico Silla collaborates with scholars based in Spain, United States and Germany. Federico Silla's co-authors include J. Duato, Carlos Reaño, Enrique S. Quintana–Ort́ı, Rafael Mayo, Antonio J. Peña, José Flich, Carles Hernández, Sergio Iserte, Davide Bertozzi and Simone Medardoni and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Future Generation Computer Systems.

In The Last Decade

Federico Silla

110 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Federico Silla Spain 20 1.2k 825 556 364 65 112 1.4k
Suvinay Subramanian United States 15 694 0.6× 431 0.5× 180 0.3× 342 0.9× 84 1.3× 23 939
Djordje Jevdjic United States 17 1.3k 1.1× 1.0k 1.2× 764 1.4× 256 0.7× 76 1.2× 26 1.5k
Marcelo Cintra United Kingdom 21 1.1k 0.9× 1.1k 1.3× 223 0.4× 279 0.8× 39 0.6× 56 1.4k
Onur Kocberber United States 12 1.1k 0.9× 803 1.0× 727 1.3× 153 0.4× 77 1.2× 16 1.2k
Stavros Volos United States 15 1.2k 1.0× 914 1.1× 746 1.3× 223 0.6× 65 1.0× 25 1.4k
Dezun Dong China 15 665 0.6× 189 0.2× 168 0.3× 296 0.8× 71 1.1× 121 891
Donald Yeung United States 21 1.3k 1.1× 1.4k 1.6× 254 0.5× 392 1.1× 36 0.6× 72 1.6k
Ali A. El‐Moursy United Arab Emirates 13 330 0.3× 222 0.3× 178 0.3× 116 0.3× 41 0.6× 66 505
Zhenlin Wang United States 17 1.0k 0.9× 804 1.0× 622 1.1× 110 0.3× 37 0.6× 77 1.2k

Countries citing papers authored by Federico Silla

Since Specialization
Citations

This map shows the geographic impact of Federico Silla'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 Federico Silla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Silla more than expected).

Fields of papers citing papers by Federico Silla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico Silla. 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 Federico Silla. The network helps show where Federico Silla may publish in the future.

Co-authorship network of co-authors of Federico Silla

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Silla. A scholar is included among the top collaborators of Federico Silla 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 Federico Silla. Federico Silla 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.
Reaño, Carlos, et al.. (2024). NGS: A network GPGPU system for orchestrating remote and virtual accelerators. Journal of Systems Architecture. 151. 103138–103138. 1 indexed citations
2.
Naranjo, Diana, et al.. (2023). On the Acceleration of FaaS Using Remote GPU Virtualization. 157–164. 1 indexed citations
3.
Cecilia, José M., et al.. (2022). Using remote GPU virtualization techniques to enhance edge computing devices. Future Generation Computer Systems. 142. 14–24. 1 indexed citations
4.
Hernández, Daniel, Juan‐Carlos Cano, Federico Silla, Carlos T. Calafate, & José M. Cecilia. (2021). AI-Enabled Autonomous Drones for Fast Climate Change Crisis Assessment. IEEE Internet of Things Journal. 9(10). 7286–7297. 21 indexed citations
5.
Reaño, Carlos, et al.. (2019). Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems. Journal of Parallel and Distributed Computing. 132. 344–362. 3 indexed citations
6.
Reaño, Carlos, Federico Silla, Dimitrios S. Nikolopoulos, & Blesson Varghese. (2018). Intra-node Memory Safe GPU Co-Scheduling. RiuNet (Politechnical University of Valencia). 7 indexed citations
7.
Varghese, Blesson, et al.. (2017). Multi-tenant virtual GPUs for optimising performance of a financial risk application. RiuNet (Politechnical University of Valencia). 6 indexed citations
8.
Reaño, Carlos, Federico Silla, & J. Duato. (2017). Enhancing the rCUDA Remote GPU Virtualization Framework: From a Prototype to a Production Solution. Research Portal (Queen's University Belfast). 695–698. 9 indexed citations
9.
Silla, Federico, et al.. (2016). Reducing the performance gap of remote GPU virtualization with InfiniBand Connect-IB. IEEE Conference Proceedings. 2016. 925. 1 indexed citations
10.
Silla, Federico, et al.. (2015). On the design of a new dynamic credit-based end-to-end flow control mechanism for HPC clusters. Parallel Computing. 46. 32–59. 1 indexed citations
11.
Reaño, Carlos & Federico Silla. (2015). A Performance Comparison of CUDA Remote GPU Virtualization Frameworks. RiuNet (Politechnical University of Valencia). 488–489. 37 indexed citations
12.
Silla, Federico, et al.. (2011). A new degree of freedom for memory allocation in clusters. Cluster Computing. 15(2). 101–123. 4 indexed citations
13.
Hernández, Carles, Federico Silla, & J. Duato. (2010). A methodology for the characterization of process variation in NoC links. Design, Automation, and Test in Europe. 685–690. 22 indexed citations
14.
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
15.
Ferrer, Roger, Marc González, Federico Silla, Xavier Martorell, & Eduard Ayguadé. (2008). Evaluation of memory performance on the cell BE with the SARC programming model. QRU Quaderns de Recerca en Urbanisme. 77–84. 4 indexed citations
16.
Duato, J., Antonio Robles, Federico Silla, & R. Beivide. (2003). A comparison of router architectures for virtual cut-through and wormhole switching in a NOW environment. 240–247. 8 indexed citations
17.
Orduña, Juan M., Federico Silla, & J. Duato. (2002). A Clustering Method for Modeling the Communication Requirements of Message-Passing Applications. Computing and Informatics / Computers and Artificial Intelligence. 21(1). 1–16. 1 indexed citations
18.
Silla, Federico, Antonio Robles, & J. Duato. (2002). Improving performance of networks of workstations by using Disha Concurrent. 80–87. 6 indexed citations
19.
Silla, Federico & J. Duato. (2002). Improving the efficiency of adaptive routing in networks with irregular topology. 330–335. 36 indexed citations
20.
Silla, Federico, et al.. (2002). On the switch architecture for fibre channel storage area networks. 484–491. 7 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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