Carlos Reaño

Orcid: 0000-0001-7871-9152

Affiliations:
  • University of Valencia, Spain
  • Queen's University Belfast, UK (former)
  • Polytechnic University of Valencia, Spain (former, PhD)


According to our database1, Carlos Reaño authored at least 53 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A cloud-edge computing architecture for monitoring protective equipment.
J. Cloud Comput., December, 2024

Accelerator virtualization.
Concurr. Comput. Pract. Exp., 2024

2023
Multi-Tier GPU Virtualization for Deep Learning in Cloud-Edge Systems.
IEEE Trans. Parallel Distributed Syst., July, 2023

Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units.
Concurr. Comput. Pract. Exp., 2023

An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

RGB-2-Hyper-Spectral Image Reconstruction for Food Science Using Encoder/Decoder Neural Architectures.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022
Discrete Event Simulation in Cloud-Edge Manufacturing Environments: Performance, Energy and Cost Trade-offs.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Litener: An Accelerator-Enabled Lightweight Container for Edge Computing.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Pipelined Compression in Remote GPU Virtualization Systems using rCUDA: Early Experiences.
Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

Multi-spectral In-Vivo FPGA-Based Surgical Imaging.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2022

2021
Editorial.
J. Parallel Distributed Comput., 2021

Redesigning the rCUDA communication layer for a better adaptation to the underlying hardware.
Concurr. Comput. Pract. Exp., 2021

Improving the management efficiency of GPU workloads in data centers through GPU virtualization.
Concurr. Comput. Pract. Exp., 2021

GPU-Accelerated Discrete Event Simulations: Towards Industry 4.0 Manufacturing.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries.
Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

2020
Improving the performance of physics applications in atom-based clusters with rCUDA.
J. Parallel Distributed Comput., 2020

Maximizing resource usage in multifold molecular dynamics with rCUDA.
Int. J. High Perform. Comput. Appl., 2020

2019
On the support of inter-node P2P GPU memory copies in rCUDA.
J. Parallel Distributed Comput., 2019

Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems.
J. Parallel Distributed Comput., 2019

On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines.
Clust. Comput., 2019

2018
Intra-Node Memory Safe GPU Co-Scheduling.
IEEE Trans. Parallel Distributed Syst., 2018

Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge.
IEEE Cloud Comput., 2018

Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Increasing Molecular Dynamics Simulations Throughput by Virtualizing Remote GPUs with rCUDA.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Improving the Efficiency of Future Exascale Systems with rCUDA.
Proceedings of the 4th IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era, 2018

2017
On the Enhancement of Remote GPU Virtualization in High Performance Clusters.
PhD thesis, 2017

Multi-tenant virtual GPUs for optimising performance of a financial risk application.
J. Parallel Distributed Comput., 2017

On the benefits of the remote GPU virtualization mechanism: The rCUDA case.
Concurr. Comput. Pract. Exp., 2017

A Comparative Performance Analysis of Remote GPU Virtualization over Three Generations of GPUs.
Proceedings of the 46th International Conference on Parallel Processing Workshops, 2017

Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Tuning remote GPU virtualization for InfiniBand networks.
J. Supercomput., 2016

CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA.
Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

Reducing the performance gap of remote GPU virtualization with InfiniBand Connect-IB.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

schedGPU: Fine-grain dynamic and adaptative scheduling for GPUs.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

Performance Evaluation of the NVIDIA Pascal GPU Architecture: Early Experiences.
Proceedings of the 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, 2016

Extending rCUDA with Support for P2P Memory Copies between Remote GPUs.
Proceedings of the 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, 2016

Remote GPU Virtualization: Is It Useful?
Proceedings of the 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era HiPINEB@HPCA 2016, 2016

Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA.
Proceedings of the Distributed Applications and Interoperable Systems, 2016

Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
Improving the user experience of the rCUDA remote GPU virtualization framework.
Concurr. Comput. Pract. Exp., 2015

Local and Remote GPUs Perform Similar with EDR 100G InfiniBand.
Proceedings of the Industrial Track of the 16th International Middleware Conference, 2015

A Live Demo on Remote GPU Accelerated Deep Learning Using the rCUDA Middleware.
Proceedings of the Posters and Demos Session of the 16th International Middleware Conference, 2015

Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

InfiniBand Verbs Optimizations for Remote GPU Virtualization.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

A Performance Comparison of CUDA Remote GPU Virtualization Frameworks.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

On the Design of a Demo for Exhibiting rCUDA.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
A complete and efficient CUDA-sharing solution for HPC clusters.
Parallel Comput., 2014

SLURM Support for Remote GPU Virtualization: Implementation and Performance Study.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013
Influence of InfiniBand FDR on the performance of remote GPU virtualization.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
CU2rCU: Towards the complete rCUDA remote GPU virtualization and sharing solution.
Proceedings of the 19th International Conference on High Performance Computing, 2012


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