Carlos Reaño

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 47

Top Topics

Molecular Dynamics

Discrete Event Simulation

Gpu Accelerated

Top Venues

Concurr. Comput. Pract. Exp.

J. Parallel Distributed Comput.

Publications

Carlos Reaño, Federico Silla, Blesson Varghese
Accelerator virtualization. Concurr. Comput. Pract. Exp. 36 (10) (2024)
Carlos Reaño, Ricardo Olanda, Elvira Baydal, Mariano Pérez, Juan M. Orduña
Accelerating the detection of DNA differentially methylated regions using multiple GPUs. J. Supercomput. 80 (9) (2024)
Javier Prades, Carlos Reaño, Federico Silla
NGS: A network GPGPU system for orchestrating remote and virtual accelerators. J. Syst. Archit. 151 (2024)
Carlos Reaño, José V. Riera, Verónica Romero, Pedro Morillo, Sergio Casas-Yrurzum
A cloud-edge computing architecture for monitoring protective equipment. J. Cloud Comput. 13 (1) (2024)
Cristian Peñaranda, Carlos Reaño, Federico Silla
A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers. Sensors 24 (14) (2024)
Cristian Peñaranda, Carlos Reaño, Federico Silla
Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units. Concurr. Comput. Pract. Exp. 35 (20) (2023)
Robert Williamson, Jesús Martínez del Rincón, Anastasios Koidis, Carlos Reaño
RGB-2-Hyper-Spectral Image Reconstruction for Food Science Using Encoder/Decoder Neural Architectures. ISCC (2023)
Majed Alsharari, Son T. Mai, Romain Garnier, Carlos Reaño, Roger F. Woods
An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC. SAMOS (2023)
Jason Kennedy, Vishal Sharma, Blesson Varghese, Carlos Reaño
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems. IEEE Trans. Parallel Distributed Syst. 34 (7) (2023)
Cristian Peñaranda, Carlos Reaño, Federico Silla
Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems. HAIS (2022)
Cristian Peñaranda Cebrián, Carlos Reaño, Federico Silla
Pipelined Compression in Remote GPU Virtualization Systems using rCUDA: Early Experiences. ICPP Workshops (2022)
Majed Alsharari, Lorenzo Niemitz, Simon Sorensen, Roger F. Woods, Ray Burke, Stefan Andersson-Engels, Carlos Reaño, Son T. Mai
Multi-spectral In-Vivo FPGA-Based Surgical Imaging. ARC (2022)
Moustafa Faheem, Adrian Murphy, Vishal Sharma, Carlos Reaño
Discrete Event Simulation in Cloud-Edge Manufacturing Environments: Performance, Energy and Cost Trade-offs. ISPA/BDCloud/SocialCom/SustainCom (2022)
Ryan Dyson, Carlos Reaño
Litener: An Accelerator-Enabled Lightweight Container for Edge Computing. IPDPS Workshops (2022)
Carlos Reaño, Federico Silla, Blesson Varghese
Editorial. J. Parallel Distributed Comput. 147 (2021)
Moustafa Faheem, Adrian Murphy, Carlos Reaño
GPU-Accelerated Discrete Event Simulations: Towards Industry 4.0 Manufacturing. ISCC (2021)
Jason Kennedy, Blesson Varghese, Carlos Reaño
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries. ICFEC (2021)
Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
Improving the management efficiency of GPU workloads in data centers through GPU virtualization. Concurr. Comput. Pract. Exp. 33 (2) (2021)
Jason Kennedy, Blesson Varghese, Carlos Reaño
AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries. CoRR (2021)
Carlos Reaño, Federico Silla
Redesigning the rCUDA communication layer for a better adaptation to the underlying hardware. Concurr. Comput. Pract. Exp. 33 (14) (2021)
Javier Prades, Baldomero Imbernón, Carlos Reaño, Jorge Peña-García, José Pedro Cerón-Carrasco, Federico Silla, Horacio Pérez Sánchez
Maximizing resource usage in multifold molecular dynamics with rCUDA. Int. J. High Perform. Comput. Appl. 34 (1) (2020)
Federico Silla, Javier Prades, Elvira Baydal, Carlos Reaño
Improving the performance of physics applications in atom-based clusters with rCUDA. J. Parallel Distributed Comput. 137 (2020)
Carlos Reaño, Javier Prades, Federico Silla
Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems. J. Parallel Distributed Comput. 132 (2019)
Javier Prades, Carlos Reaño, Federico Silla
On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines. Clust. Comput. 22 (1) (2019)
Carlos Reaño, Federico Silla
On the support of inter-node P2P GPU memory copies in rCUDA. J. Parallel Distributed Comput. 127 (2019)
Federico Silla, Javier Prades, Carlos Reaño
Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain. ICPP Workshops (2018)
Javier Prades, Carlos Reaño, Federico Silla, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia
Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA. ICPP Workshops (2018)
Blesson Varghese, Carlos Reaño, Federico Silla
Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge. IEEE Cloud Comput. 5 (6) (2018)
Blesson Varghese, Carlos Reaño, Federico Silla
Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge. CoRR (2018)
Carlos Reaño, Javier Prades, Federico Silla
Improving the Efficiency of Future Exascale Systems with rCUDA. HiPINEB@HPCA (2018)
Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese
Intra-Node Memory Safe GPU Co-Scheduling. IEEE Trans. Parallel Distributed Syst. 29 (5) (2018)
Carlos Reaño, Javier Prades, Federico Silla
Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications. ICPP Workshops (2018)
Carlos Reaño, Federico Silla
A Comparative Performance Analysis of Remote GPU Virtualization over Three Generations of GPUs. ICPP Workshops (2017)
Federico Silla, Sergio Iserte, Carlos Reaño, Javier Prades
On the benefits of the remote GPU virtualization mechanism: The rCUDA case. Concurr. Comput. Pract. Exp. 29 (13) (2017)
Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese
Intra-node Memory Safe GPU Co-Scheduling. CoRR (2017)
Carlos Reaño, Federico Silla, José Duato
Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution. CCGrid (2017)
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
Multi-tenant virtual GPUs for optimising performance of a financial risk application. J. Parallel Distributed Comput. 108 (2017)
Carlos Reaño, Federico Silla, Matthew J. Leslie
schedGPU: Fine-grain dynamic and adaptative scheduling for GPUs. HPCS (2016)
Carlos Reaño, Federico Silla
Tuning remote GPU virtualization for InfiniBand networks. J. Supercomput. 72 (12) (2016)
Ferran Perez, Carlos Reaño, Federico Silla
Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA. DAIS (2016)
Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm. CCGrid (2016)
Carlos Reaño, Federico Silla
Reducing the performance gap of remote GPU virtualization with InfiniBand Connect-IB. ISCC (2016)
Javier Prades, Carlos Reaño, Federico Silla
CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA. PPOPP (2016)
Carlos Reaño, Federico Silla
Extending rCUDA with Support for P2P Memory Copies between Remote GPUs. HPCC/SmartCity/DSS (2016)
Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application. CoRR (2016)
Carlos Reaño, Federico Silla
Performance Evaluation of the NVIDIA Pascal GPU Architecture: Early Experiences. HPCC/SmartCity/DSS (2016)
Federico Silla, Javier Prades, Sergio Iserte, Carlos Reaño
Remote GPU Virtualization: Is It Useful? HiPINEB@HPCA (2016)
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. CoRR (2015)
Carlos Reaño, Federico Silla
A Live Demo on Remote GPU Accelerated Deep Learning Using the rCUDA Middleware. Middleware Posters and Demos (2015)
Carlos Reaño, Federico Silla
InfiniBand Verbs Optimizations for Remote GPU Virtualization. CLUSTER (2015)
Carlos Reaño, Federico Silla
A Performance Comparison of CUDA Remote GPU Virtualization Frameworks. CLUSTER (2015)
Carlos Reaño, Ferran Perez, Federico Silla
On the Design of a Demo for Exhibiting rCUDA. CCGRID (2015)
Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. e-Science (2015)
Carlos Reaño, Federico Silla, Gilad Shainer, Scot Schultz
Local and Remote GPUs Perform Similar with EDR 100G InfiniBand. Middleware Industry (2015)
Carlos Reaño, Federico Silla, Adrián Castelló, Antonio J. Peña, Rafael Mayo, Enrique S. Quintana-Ortí, José Duato
Improving the user experience of the rCUDA remote GPU virtualization framework. Concurr. Comput. Pract. Exp. 27 (14) (2015)
Carlos Reaño, Federico Silla, Antonio J. Peña, Gilad Shainer, Scot Schultz, Adrián Castelló, Enrique S. Quintana-Ortí, José Duato
Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0. CLUSTER (2014)
Antonio J. Peña, Carlos Reaño, Federico Silla, Rafael Mayo, Enrique S. Quintana-Ortí, José Duato
A complete and efficient CUDA-sharing solution for HPC clusters. Parallel Comput. 40 (10) (2014)
Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades
SLURM Support for Remote GPU Virtualization: Implementation and Performance Study. SBAC-PAD (2014)
Carlos Reaño, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Antonio J. Peña
Influence of InfiniBand FDR on the performance of remote GPU virtualization. CLUSTER (2013)
Carlos Reaño, Antonio J. Peña, Federico Silla, José Duato, Rafael Mayo, Enrique S. Quintana-Ortí
CU2rCU: Towards the complete rCUDA remote GPU virtualization and sharing solution. HiPC (2012)