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Year: 2017

  • Escamilla Lopez, J. V. & Flich, J. (2017). ICARO-PAPM: Congestion Management with Selective Queue Power-Gating. 2017 International Conference on High Performance Computing & Simulation (HPCS). [More]
  • Reaño, C. (2017). On the Enhancement of Remote GPU Virtualization in High Performance Clusters. Phd Thesis, Universitat Politècnica de València. [More]
  • Reaño, C. & Silla, F (2017). A Comparative Performance Analysis of Remote GPU Virtualization over Three Generations of GPUs. In 46th International Conference on Parallel Processing Workshops, ICPP Workshops 2017, Bristol, United Kingdom, August 14-17, 2017, pages 121-128. [More] [Online version]
  • Reaño, C., Silla, F. & Duato, J (2017). Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution. In Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, Madrid, Spain, May 14-17, 2017, pages 695-698. [More] [Online version]
  • 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] [Online version]
  • 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] [Online version]

Year: 2016

  • Peñaranda, R., Lopez, P. & Gomez, M. E. (2016). A New Fault-Tolerant Routing Methodology for KNS Topologies. 2016 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB). [More]
  • Feliu, J., Petit, S., Sahuquillo, J. & Duato, J. (2016). Perf&Fair: A Progress-Aware Scheduler to Enhance Performance and Fairness in SMT Multicores. EEE Transactions on Computers PP(99). [More]
  • Valls, J. J., Ros, A., Gomez, M. E. & Sahuquillo, J. (2016). A Directory Cache with Dynamic Private-Shared Partitioning. 2016 IEEE 23rd International Conference on High Performance Computing (HiPC). [More]
  • Valero, A., Petit, S. & Sahuquillo, J. (2016). Enhancing the L1 Data Cache Design to Mitigate HCI.  IEEE Computer Architecture Letters, 2(15), 93-96. [More]
  • Puche, J., Petit, S. & Gomez, M. E. (2016). Accurately modeling a photonic NoC in a detailed CMP simulation framework. 2016 International Conference on High Performance Computing & Simulation (HPCS). [More]
  • Candel, F., Petit, S., Sahuquillo, J. & Duato, J. (2016). Impact of Memory-Level Parallelism on the Performance of GPU Coherence Protocols. 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP). [More]
  • Valls, J. J., Ros, A., Gomez, M. E. & Sahuquillo, J. (2016). The Tag Filter Architecture: An energy-efficient cache and directory design. Journal of Parallel and Distributed Computing(100). [More]
  • Sahuquillo, J., Selfa, V., Gomez, C. & Gomez, M. E. (2016). A Simple Activation/Deactivation Prefetching Scheme for Chip Multiprocessors. 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP). [More]
  • Sahuquillo, J., Feliu, J. & Petit, S. (2016). Symbiotic job scheduling on the IBM POWER8. 2016 IEEE International Symposium on High Performance Computer Architecture (HPCA). [More]
  • Escamilla Lopez, J. V. & Flich, J. (2016). Increasing the Efficiency of Latency-Driven DVFS with a Smart NoC Congestion Management Strategy. IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). [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] [Online version]
  • 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] [Online version]
  • Perez, F., Reaño, C. & Silla, F (2016). Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA. In Distributed Applications and Interoperable Systems - 16th IFIP WG 6.1 International Conference, DAIS 2016, Held as Part of the 11th International Federated Conference on Distributed Computing Techniques, Dis, pages 82-95. [More] [Online version]
  • 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] [Online version]
  • Reaño, C. & Silla, F (2016). Performance Evaluation of the NVIDIA Pascal GPU Architecture: Early Experiences. In 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, HPCC/Smar, pages 1234-1235. [More] [Online version]
  • Reaño, C. & Silla, F (2016). Extending rCUDA with Support for P2P Memory Copies between Remote GPUs. In 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, HPCC/Smar, pages 789-796. [More] [Online version]
  • 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] [Online version]
  • Reaño, C., Silla, F. & Leslie, M. J (2016). schedGPU: Fine-grain dynamic and adaptative scheduling for GPUs. In International Conference on High Performance Computing & Simulation, HPCS 2016, Innsbruck, Austria, July 18-22, 2016, pages 993-997. [More] [Online version]
  • Reaño, C. & Silla, F (2016). Reducing the performance gap of remote GPU virtualization with InfiniBand Connect-IB. In IEEE Symposium on Computers and Communication, ISCC 2016, Messina, Italy, June 27-30, 2016, pages 920-925. [More] [Online version]
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