J!Research Staff Reaño, Carlos

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Reaño, Carlos

Personal Information:

Position: PhD Student Reaño, Carlos
Phone or fax: +34963877007x75738
Location: Valencia
Description:

Carlos Reaño received a BS degree in Computer Engineering from the University of Valencia, Spain, in 2008. He also holds a MS degree in Software Engineering, Formal Methods and Information Systems from the Technical University of Valencia, Spain, since 2012. He is currently doing his PhD in virtualization of remote GPUs at the Department of Computer Engineering (DISCA) of that university, where he is working in the rCUDA project (www.rcuda.net). He has published some papers in peer-reviewed conferences and has also participated as a reviewer in some conferences and journals.

Publications

  • Peña, A. J., Reaño, C., Silla, F., Mayo, R., Quintana-Ortí, E. S. & Duato, J. (2014). A complete and efficient CUDA-sharing solution for HPC clusters. Parallel Computing, 40(10), 574-588. [More] 
  • Reaño, C., Silla, F., Peña, A. J., Shainer, G., Schultz, S., Gimeno, A. C. et al (2014). Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0. In 2014 IEEE International Conference on Cluster Computing, CLUSTER 2014, Madrid, Spain, September 22-26, 2014, pages 266-267. [More] 
  • Iserte, S., Gimeno, A. C., Mayo, R., Quintana-Ortí, E. S., Silla, F., Duato, J. et al (2014). SLURM Support for Remote GPU Virtualization: Implementation and Performance Study. In 26th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2014, Paris, France, October 22-24, 2014, pages 318-325. [More] 
  • Reaño, C., Peña, A. J., Silla, F., Mayo, R., Quintana-Ortí, E. S. & Duato, J (2013). Influence of InfiniBand FDR on the Performance of Remote GPU Virtualization. In International Conference on Cluster Computing (Cluster). [More] 
  • Reaño, C., Peña, A. J., Silla, F., Mayo, R., Quintana-Ortí, E. S. & Duato, J (2012). CU2rCU: towards the Complete rCUDA Remote GPU Virtualization and Sharing Solution. In 19th Annual International Conference on High Performance Computing (HiPC). [More] 
 

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