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Prades, Javier

Personal Information:

Position: PhD Student
Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Phone or fax: +34963877007x75745
Location: Valencia


  • Prades, J., Varghese, B., Reaño, C. & Silla, F. (2017). Multi-tenant virtual GPUs for optimising performance of a financial risk application. J. Parallel Distrib. Comput., 108, 28-44. [More] 
  • Silla, F., Iserte, S., Reaño, C. & Prades, J. (2017). On the benefits of the remote GPU virtualization mechanism: The rCUDA case. Concurrency and Computation: Practice and Experience, 29(13). [More] 
  • Prades, J., Campos, F., Reaño, C. & Silla, F (2016). GPGPU as a Service: Providing GPU-Acceleration Services to Federated Cloud Systems. Developing Interoperable and Federated Cloud Architecture. [More] 
  • Iserte, S., Prades, J., Reaño, C. & Silla, F (2016). Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm. In IEEE/ACM 16th International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2016, Cartagena, Colombia, May 16-19, 2016, pages 98-101. [More] 
  • Silla, F., Prades, J., Iserte, S. & Reaño, C (2016). Remote GPU Virtualization: Is It Useful?. In 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era HiPINEB@HPCA 2016, Barcelona, Spain, March 12, 2016, pages 41-48. [More] 
  • Prades, J., Reaño, C. & Silla, F (2016). CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA. In Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2016, Barcelona, Spain, March 12-16, 2016, pages 35:1-35:2. [More] 
  • Varghese, B., Prades, J., Reaño, C. & Silla, F (2015). Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. In 11th IEEE International Conference on e-Science, e-Science 2015, Munich, Germany, August 31 - September 4, 2015, pages 47-56. [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]