Carlos Reaño - RankMe

67 papers B 5C 10Misc 2Journal 31Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Implementation of AI Algorithms on an FPGA-Based System for Enhancing Blood Vessel Segmentation. Int. J. Parallel Program. Majed Alsharari, Son T. Mai, Romain Garnier, Carlos Reaño, Roger F. Woods
2026	J	`jnl`	Enhancing the performance of GPU acceleration in virtual environments: Thoroughly benchmarking the rigidity of mediated device passthrough. Future Gener. Comput. Syst. Javier Prades, Carlos Reaño, Federico Silla
2025	J	`jnl`	Efficient Integer-Only-Inference of Gradient Boosting Decision Trees on Low-Power Devices. IEEE Trans. Circuits Syst. I Regul. Pap. Majed Alsharari, Son T. Mai, Roger F. Woods, Carlos Reaño
2025	—	`conf`	SaaS-Enabled RGB to Hyperspectral Imaging: A Novel Paradigm in Image Processing Technology. AINA (4) Robert Williamson, Carlos Reaño, Jesús Martínez del Rincón, Anastasios Koidis
2024	J	`jnl`	A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers. Sensors Cristian Peñaranda, Carlos Reaño, Federico Silla
2024	J	`jnl`	A cloud-edge computing architecture for monitoring protective equipment. J. Cloud Comput. Carlos Reaño, José V. Riera, Verónica Romero, Pedro Morillo, Sergio Casas-Yrurzum
2024	—	`conf`	Accelerating scalable manufacturing models with Discrete Event Simulation as-a-service. FMEC Moustafa Faheem, Vishal Sharma, Adrian Murphy, Carlos Reaño
2024	J	`jnl`	Accelerating the detection of DNA differentially methylated regions using multiple GPUs. J. Supercomput. Carlos Reaño, Ricardo Olanda, Elvira Baydal, Mariano Pérez, Juan M. Orduña
2024	J	`jnl`	Accelerator virtualization. Concurr. Comput. Pract. Exp. Carlos Reaño, Federico Silla, Blesson Varghese
2024	J	`jnl`	Hybrid-Smash: A Heterogeneous CPU-GPU Compression Library. IEEE Access Cristian Peñaranda, Carlos Reaño, Federico Silla
2024	J	`jnl`	NGS: A network GPGPU system for orchestrating remote and virtual accelerators. J. Syst. Archit. Javier Prades, Carlos Reaño, Federico Silla
2023	—	`conf`	An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC. SAMOS Majed Alsharari, Son T. Mai, Romain Garnier, Carlos Reaño, Roger F. Woods
2023	J	`jnl`	Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units. Concurr. Comput. Pract. Exp. Cristian Peñaranda, Carlos Reaño, Federico Silla
2023	J	`jnl`	Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems. IEEE Trans. Parallel Distributed Syst. Jason Kennedy, Vishal Sharma, Blesson Varghese, Carlos Reaño
2023	C	`conf`	RGB-2-Hyper-Spectral Image Reconstruction for Food Science Using Encoder/Decoder Neural Architectures. ISCC Robert Williamson, Jesús Martínez del Rincón, Anastasios Koidis, Carlos Reaño
2022	—	`conf`	Discrete Event Simulation in Cloud-Edge Manufacturing Environments: Performance, Energy and Cost Trade-offs. ISPA/BDCloud/SocialCom/SustainCom Moustafa Faheem, Adrian Murphy, Vishal Sharma, Carlos Reaño
2022	—	`conf`	Litener: An Accelerator-Enabled Lightweight Container for Edge Computing. IPDPS Workshops Ryan Dyson, Carlos Reaño
2022	—	`conf`	Multi-spectral In-Vivo FPGA-Based Surgical Imaging. ARC Majed Alsharari, Lorenzo Niemitz, Simon Sorensen, Roger F. Woods, Ray Burke, Stefan Andersson-Engels, Carlos Reaño, Son T. Mai
2022	—	`conf`	Pipelined Compression in Remote GPU Virtualization Systems using rCUDA: Early Experiences. ICPP Workshops Cristian Peñaranda Cebrián, Carlos Reaño, Federico Silla
2022	Misc	`conf`	Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems. HAIS Cristian Peñaranda, Carlos Reaño, Federico Silla
2021	C	`conf`	AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries. ICFEC Jason Kennedy, Blesson Varghese, Carlos Reaño
2021	J	`jnl`	AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries. CoRR Jason Kennedy, Blesson Varghese, Carlos Reaño
2021	J	`jnl`	Editorial. J. Parallel Distributed Comput. Carlos Reaño, Federico Silla, Blesson Varghese
2021	C	`conf`	GPU-Accelerated Discrete Event Simulations: Towards Industry 4.0 Manufacturing. ISCC Moustafa Faheem, Adrian Murphy, Carlos Reaño
2021	J	`jnl`	Improving the management efficiency of GPU workloads in data centers through GPU virtualization. Concurr. Comput. Pract. Exp. Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
2021	J	`jnl`	Redesigning the rCUDA communication layer for a better adaptation to the underlying hardware. Concurr. Comput. Pract. Exp. Carlos Reaño, Federico Silla
2020	J	`jnl`	Improving the performance of physics applications in atom-based clusters with rCUDA. J. Parallel Distributed Comput. Federico Silla, Javier Prades, Elvira Baydal, Carlos Reaño
2020	J	`jnl`	Maximizing resource usage in multifold molecular dynamics with rCUDA. Int. J. High Perform. Comput. Appl. Javier Prades, Baldomero Imbernón, Carlos Reaño, Jorge Peña-García, José Pedro Cerón-Carrasco, Federico Silla, Horacio Pérez Sánchez
2019	J	`jnl`	Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems. J. Parallel Distributed Comput. Carlos Reaño, Javier Prades, Federico Silla
2019	J	`jnl`	On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines. Clust. Comput. Javier Prades, Carlos Reaño, Federico Silla
2019	J	`jnl`	On the support of inter-node P2P GPU memory copies in rCUDA. J. Parallel Distributed Comput. Carlos Reaño, Federico Silla
2018	J	`jnl`	Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge. CoRR Blesson Varghese, Carlos Reaño, Federico Silla
2018	J	`jnl`	Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge. IEEE Cloud Comput. Blesson Varghese, Carlos Reaño, Federico Silla
2018	—	`conf`	Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications. ICPP Workshops Carlos Reaño, Javier Prades, Federico Silla
2018	—	`conf`	Improving the Efficiency of Future Exascale Systems with rCUDA. HiPINEB@HPCA Carlos Reaño, Javier Prades, Federico Silla
2018	—	`conf`	Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA. ICPP Workshops Javier Prades, Carlos Reaño, Federico Silla, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia
2018	J	`jnl`	Intra-Node Memory Safe GPU Co-Scheduling. IEEE Trans. Parallel Distributed Syst. Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese
2018	—	`conf`	Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain. ICPP Workshops Federico Silla, Javier Prades, Carlos Reaño
2017	—	`conf`	A Comparative Performance Analysis of Remote GPU Virtualization over Three Generations of GPUs. ICPP Workshops Carlos Reaño, Federico Silla
2017	B	`conf`	Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution. CCGrid Carlos Reaño, Federico Silla, José Duato
2017	J	`jnl`	Intra-node Memory Safe GPU Co-Scheduling. CoRR Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese
2017	J	`jnl`	Multi-tenant virtual GPUs for optimising performance of a financial risk application. J. Parallel Distributed Comput. Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
2017	—	`—`	On the Enhancement of Remote GPU Virtualization in High Performance Clusters. Carlos Reaño
2017	J	`jnl`	On the benefits of the remote GPU virtualization mechanism: The rCUDA case. Concurr. Comput. Pract. Exp. Federico Silla, Sergio Iserte, Carlos Reaño, Javier Prades
2016	B	`conf`	CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA. PPoPP Javier Prades, Carlos Reaño, Federico Silla
2016	—	`conf`	Extending rCUDA with Support for P2P Memory Copies between Remote GPUs. HPCC/SmartCity/DSS Carlos Reaño, Federico Silla
2016	B	`conf`	Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm. CCGrid Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla
2016	J	`jnl`	Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application. CoRR Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla
2016	—	`conf`	Performance Evaluation of the NVIDIA Pascal GPU Architecture: Early Experiences. HPCC/SmartCity/DSS Carlos Reaño, Federico Silla
2016	C	`conf`	Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA. DAIS Ferran Perez, Carlos Reaño, Federico Silla
2016	C	`conf`	Reducing the performance gap of remote GPU virtualization with InfiniBand Connect-IB. ISCC Carlos Reaño, Federico Silla
2016	—	`conf`	Remote GPU Virtualization: Is It Useful? HiPINEB@HPCA Federico Silla, Javier Prades, Sergio Iserte, Carlos Reaño
2016	J	`jnl`	Tuning remote GPU virtualization for InfiniBand networks. J. Supercomput. Carlos Reaño, Federico Silla
2016	—	`conf`	schedGPU: Fine-grain dynamic and adaptative scheduling for GPUs. HPCS Carlos Reaño, Federico Silla, Matthew J. Leslie
2015	—	`conf`	A Live Demo on Remote GPU Accelerated Deep Learning Using the rCUDA Middleware. Middleware Posters and Demos Carlos Reaño, Federico Silla
2015	C	`conf`	A Performance Comparison of CUDA Remote GPU Virtualization Frameworks. CLUSTER Carlos Reaño, Federico Silla
2015	B	`conf`	Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. e-Science Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
2015	J	`jnl`	Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. CoRR Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla
2015	J	`jnl`	Improving the user experience of the rCUDA remote GPU virtualization framework. Concurr. Comput. Pract. Exp. Carlos Reaño, Federico Silla, Adrián Castelló, Antonio J. Peña, Rafael Mayo, Enrique S. Quintana-Ortí, José Duato
2015	C	`conf`	InfiniBand Verbs Optimizations for Remote GPU Virtualization. CLUSTER Carlos Reaño, Federico Silla
2015	—	`conf`	Local and Remote GPUs Perform Similar with EDR 100G InfiniBand. Middleware Industry Carlos Reaño, Federico Silla, Gilad Shainer, Scot Schultz
2015	B	`conf`	On the Design of a Demo for Exhibiting rCUDA. CCGRID Carlos Reaño, Ferran Perez, Federico Silla
2014	J	`jnl`	A complete and efficient CUDA-sharing solution for HPC clusters. Parallel Comput. Antonio J. Peña, Carlos Reaño, Federico Silla, Rafael Mayo, Enrique S. Quintana-Ortí, José Duato
2014	C	`conf`	Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0. CLUSTER Carlos Reaño, Federico Silla, Antonio J. Peña, Gilad Shainer, Scot Schultz, Adrián Castelló, Enrique S. Quintana-Ortí, José Duato
2014	C	`conf`	SLURM Support for Remote GPU Virtualization: Implementation and Performance Study. SBAC-PAD Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades
2013	C	`conf`	Influence of InfiniBand FDR on the performance of remote GPU virtualization. CLUSTER Carlos Reaño, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Antonio J. Peña
2012	Misc	`conf`	CU2rCU: Towards the complete rCUDA remote GPU virtualization and sharing solution. HiPC Carlos Reaño, Antonio J. Peña, Federico Silla, José Duato, Rafael Mayo, Enrique S. Quintana-Ortí