• Room 01.008 - Computer Science Building

    United Kingdom

Accepting PhD Students

PhD projects

- Data science and scalable computing - The use of accelerators in HPC clusters and Cloud/Edge environments - The use of HPC networks, such as InfiniBand

20122020

Research output per year

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Research Output

Article

Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge

Varghese, B., Reaño, C. & Silla, F., Dec 2018, In : IEEE Cloud Computing. 5, 6, p. 28-37 10 p.

Research output: Contribution to journalArticle

Open Access
File
4 Citations (Scopus)
80 Downloads (Pure)

A complete and efficient CUDA-sharing solution for HPC clusters

Peña, A., Reaño, C., Silla, F., Mayo, R., Quintana Orti, E. & Duato, J., 01 Dec 2014, In : Parallel Computing. 40, 10, p. 574-588

Research output: Contribution to journalArticle

Open Access
File
54 Citations (Scopus)
128 Downloads (Pure)

Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems

Reaño, C., Prades, J. & Silla, F., Oct 2019, In : Journal of Parallel and Distributed Computing. 132, p. 344-362 19 p.

Research output: Contribution to journalArticle

Open Access
File
6 Downloads (Pure)

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

Iserte, S., Prades, J., Reaño, C. & Silla, F., 10 Apr 2019, In : Concurrency Computation. p. 1-16 e5275.

Research output: Contribution to journalArticle

Open Access
File
9 Downloads (Pure)

Improving the performance of physics applications in atom-based clusters with rCUDA

Silla, F., Prades, J., Baydal, E. & Reaño, C., Mar 2020, In : Journal of Parallel and Distributed Computing. 137, p. 160-178 19 p.

Research output: Contribution to journalArticle

Improving the user experience of the rCUDA remote GPU virtualization framework

Reaño, C., Silla, F., Castello, A., Peña, A., Mayo, R., Quintana Orti, E. & Duato, J., 10 Oct 2015, In : Concurrency and Computation: Practice and Experience. 27, 14, p. 3746-3770

Research output: Contribution to journalArticle

Open Access
File
11 Citations (Scopus)
175 Downloads (Pure)

Intra-node Memory Safe GPU Co-Scheduling

Reano, C., Silla, F., Nikolopoulos, D. S. & Varghese, B., May 2018, In : IEEE Transactions on Parallel and Distributed Systems. 29, 5, p. 1089 - 1102 14 p.

Research output: Contribution to journalArticle

Open Access
File
3 Citations (Scopus)
173 Downloads (Pure)

Maximizing resource usage in multifold molecular dynamics with rCUDA

Prades, J., Imbernón, B., Reaño, C., Peña-García, J., Cerón-Carrasco, J. P., Silla, F. & Pérez-Sánchez, H., 20 Jun 2019, In : International Journal of High Performance Computing Applications. 34, 1, p. 5-19 15 p.

Research output: Contribution to journalArticle

Open Access
File
101 Downloads (Pure)

Multi-tenant virtual GPUs for optimising performance of a financial risk application

Prades, J., Varghese, B., Reano, C. & Silla, F., Oct 2017, In : Journal of Parallel and Distributed Computing. 108, p. 28-44 17 p.

Research output: Contribution to journalArticle

Open Access
File
4 Citations (Scopus)
282 Downloads (Pure)

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

Silla, F., Iserte, S., Reaño, C. & Prades, J., 10 Jul 2017, In : Concurrency and Computation: Practice and Experience. 29, 13, 17 p., e4072.

Research output: Contribution to journalArticle

Open Access
File
10 Citations (Scopus)
139 Downloads (Pure)

On the Effect of using rCUDA to Provide CUDA Acceleration to Xen Virtual Machines

Prades, J., Reaño, C. & Silla, F., 15 Mar 2019, In : Cluster Computing. 22, p. 185-204 20 p.

Research output: Contribution to journalArticle

Open Access
File
1 Citation (Scopus)
87 Downloads (Pure)

On the support of inter-node P2P GPU memory copies in rCUDA

Reaño, C. & Silla, F., 01 May 2019, In : Journal of Parallel and Distributed Computing. 127, p. 28-43

Research output: Contribution to journalArticle

Open Access
File
2 Citations (Scopus)
36 Downloads (Pure)

Tuning Remote GPU Virtualization for InfiniBand Networks

Reaño, C. & Silla, F., Dec 2016, In : The Journal of Supercomputing. 72, p. 4520-4545 26 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)
Chapter

A Comparative Performance Analysis of Remote GPU Virtualization over Three Generations of GPUs

Reano, C. & Silla, F., 05 Sep 2017, Proceedings of the International Conference on Parallel Processing Workshops. Institute of Electrical and Electronics Engineers Inc., p. 121-128 8 p. (Proceedings of the International Conference on Parallel Processing Workshops).

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Enhancing the rCUDA remote GPU virtualization framework: From a prototype to a production solution

Reano, C., Silla, F. & Duato, J., 10 Jul 2017, Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017. Institute of Electrical and Electronics Engineers Inc., p. 695-698 4 p. (Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017).

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Extending rCUDA with Support for P2P Memory Copies between Remote GPUs

Reano, C. & Silla, F., 20 Jan 2017, Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016. Institute of Electrical and Electronics Engineers Inc., p. 789-796 8 p. (Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016).

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

GPU as a Service: providing GPU-acceleration to federated cloud systems

Javier Prades, Fernando Campos, Reaño, C. & Federico Silla, 2016, Developing Interoperable and Federated Cloud Architecture. p. 281-313

Research output: Chapter in Book/Report/Conference proceedingChapter

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

Iserte, S., Prades, J., Reano, C. & Silla, F., 18 Jul 2016, Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016. Institute of Electrical and Electronics Engineers Inc., p. 98-101 4 p. (Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016).

Research output: Chapter in Book/Report/Conference proceedingChapter

15 Citations (Scopus)

Performance evaluation of the NVIDIA pascal GPU architecture: Early experiences

Reano, C. & Silla, F., 20 Jan 2017, Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016. Institute of Electrical and Electronics Engineers Inc., p. 1234-1235 2 p. (Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016).

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

rCUDA (remote CUDA)

Silla, F., Peñaranda, C., Prades, J., Reaño, C., Serrano, F. E. & Sierra, J., 09 Mar 2020, Programación de GPUs Usando Compute Unified Device Architecture (CUDA). Ra-Ma

Research output: Chapter in Book/Report/Conference proceedingChapter

Conference contribution

Acceleration-as-a-Service: Exploiting Virtualised GPUs in HPC Clusters for a Financial Application

Varghese, B., Prades, J., Reaño, C. & Silla, F., 2015, 11th IEEE International Conference on eScience (eScience).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A Live Demo on Remote GPU Accelerated Deep Learning Using the rCUDA Middleware

Reaño, C. & Silla, F., 2015, 16th ACM International Middleware Conference (Middleware).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

A Performance Comparison of CUDA Remote GPU Virtualization Frameworks

Reaño, C. & Silla, F., 2015, IEEE International Conference on Cluster Computing (Cluster).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)

Boosting the Performance of Remote GPU Virtualization Using InfiniBand Connect-IB and PCIe 3.0

Reaño, C., Silla, F., Peña, A., Shainer, G., Schultz, S., Castello, A., Quintana Orti, E. & Duato, J., 2014, IEEE International Conference on Cluster Computing (Cluster).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

CU2rCU: towards the Complete rCUDA Remote GPU Virtualization and Sharing Solution

Reaño, C., Peña, A., Silla, F., Mayo, R., Quintana Orti, E. & Duato, J., 2012, 19th IEEE High Performance Computing Conference (HiPC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA

Prades, J., Reaño, C. & Silla, F., 2016, 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications

Reaño, C., Prades, J. & Silla, F., 2018, Proceedings of the 47th International Conference on Parallel Processing Companion (ICPP '18 ). ACM, 8 p. 8

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Improving the Efficiency of Future Exascale Systems with rCUDA

Reaño, C., Prades, J. & Silla, F., 29 Mar 2018, 4th IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB 2018): Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 40-47 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA

Prades, J., Reaño, C., Silla, F., Imbernón, B., Pérez Sánchez, H. & Cecilia, J. M., 2018, Proceedings of the 47th International Conference on Parallel Processing Companion (ICPP '18 ). ACM

Research output: Chapter in Book/Report/Conference proceedingConference contribution

InfiniBand Verbs Optimizations for Remote GPU Virtualization

Reaño, C. & Silla, F., 2015, 1st IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Influence of InfiniBand FDR on the Performance of Remote GPU Virtualization

Reaño, C., Peña, A., Silla, F., Mayo, R., Quintana Orti, E. & Duato, J., 2013, IEEE International Conference on Cluster Computing (Cluster).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain

Silla, F., Prades, J. & Reaño, C., May 2018, Proceedings of the 47th International Conference on Parallel Processing Companion. ACM

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Local and Remote GPUs Perform Similar with EDR 100G InfiniBand

Reaño, C., Silla, F., Shainer, G. & Schultz, S., 01 Dec 2015, 16th ACM International Middleware Conference (Middleware). ACM

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
26 Citations (Scopus)
26 Downloads (Pure)

Maximizing the performance of HPC clusters with rCUDA

Reaño, C., Silla, F. & Duato, J., 2014, International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

On the Design of a Demo for Exhibiting rCUDA

Reaño, C., Perez, F. & Silla, F., 2015, 15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA

Perez, F., Reaño, C. & Silla, F., 24 May 2016, Distributed Applications and Interoperable Systems : 16th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS). Springer, p. 82-95 (Lecture Notes in Computer Science; vol. 9687).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
11 Citations (Scopus)
205 Downloads (Pure)

Reducing the Performance Gap of Remote GPU Virtualization with InfiniBand Connect-IB

Reaño, C. & Silla, F., 18 Aug 2016, 21st IEEE Symposium on Computers and Communications (ISCC). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Remote GPU Virtualization: Is It Useful?

Silla, F., Prades, J., Iserte, S. & Reaño, C., 12 Mar 2016, 2016 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB). IEEE , 15938783

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

schedGPU: Fine-Grain Dynamic and Adaptative Scheduling for GPUs

Reaño, C., Silla, F. & Leslie, M., 2016, 14th International Conference on High Performance Computing & Simulation (HPCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

SLURM Support for Remote GPU Virtualization: Implementation and Performance Study

Iserte, S., Castello, A., Mayo, R., Quintana Orti, E., Silla, F., Prades, J. & Reaño, C., 2014, 26th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)
Paper

Assuring quality in education when you move country: academic experiences in Northern Ireland

Reaño, C., 08 Apr 2019. 8 p.

Research output: Contribution to conferencePaper

Poster

Benefits of remote GPU virtualization: the rCUDA perspective

Silla, F., Reaño, C., Prades, J. & Iserte, S., 2016.

Research output: Contribution to conferencePoster