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ORCIDFederico Silla
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- affiliation: Polytechnic University of Valencia, Spain
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2020 – today
- 2024
[j43]Cristian Peñaranda
, Carlos Reaño, Federico Silla:
Hybrid-Smash: A Heterogeneous CPU-GPU Compression Library. IEEE Access 12: 32706-32723 (2024)- [j42]Carlos Reaño, Federico Silla, Blesson Varghese:
Accelerator virtualization. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j41]Javier Prades, Carlos Reaño, Federico Silla:
NGS: A network GPGPU system for orchestrating remote and virtual accelerators. J. Syst. Archit. 151: 103138 (2024) - [j40]Cristian Peñaranda, Carlos Reaño, Federico Silla:
A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers. Sensors 24(14): 4649 (2024) - 2023
- [j39]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) - [j38]José M. Cecilia, Juan Morales-García, Baldomero Imbernón, Javier Prades, Juan-Carlos Cano, Federico Silla:
Using remote GPU virtualization techniques to enhance edge computing devices. Future Gener. Comput. Syst. 142: 14-24 (2023) - [c81]Diana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla:
On the Acceleration of FaaS Using Remote GPU Virtualization. ICPE (Companion) 2023: 157-164 - 2022
- [j37]Daniel Hernández, Juan-Carlos Cano, Federico Silla, Carlos T. Calafate, José M. Cecilia:
AI-Enabled Autonomous Drones for Fast Climate Change Crisis Assessment. IEEE Internet Things J. 9(10): 7286-7297 (2022) - [c80]Cristian Peñaranda, Carlos Reaño, Federico Silla:
Smash: A Compression Benchmark with AI Datasets from Remote GPU Virtualization Systems. HAIS 2022: 236-248 - [c79]Cristian Peñaranda Cebrián, Carlos Reaño, Federico Silla:
Pipelined Compression in Remote GPU Virtualization Systems using rCUDA: Early Experiences. ICPP Workshops 2022: 7:1-7:7 - 2021
- [j36]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) - [j35]Carlos Reaño, Federico Silla:
Redesigning the rCUDA communication layer for a better adaptation to the underlying hardware. Concurr. Comput. Pract. Exp. 33(14) (2021) - [j34]Carlos Reaño, Federico Silla, Blesson Varghese:
Editorial. J. Parallel Distributed Comput. 147: 268-269 (2021) - [e2]Federico Silla, Osni Marques:
ICPP Workshops 2021: 50th International Conference on Parallel Processing, Virtual Event / Lemont (near Chicago), IL, USA, August 9-12, 2021. ACM 2021, ISBN 978-1-4503-8441-4 [contents] - 2020
- [j33]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) - [j32]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: 160-178 (2020) - [e1]Federico Silla, Tarek S. Abdelrahman:
ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020. ACM 2020, ISBN 978-1-4503-8868-9 [contents]
2010 – 2019
- 2019
- [j31]Javier Prades, Carlos Reaño, Federico Silla:
On the effect of using rCUDA to provide CUDA acceleration to Xen virtual machines. Clust. Comput. 22(1): 185-204 (2019) - [j30]Carlos Reaño, Federico Silla:
On the support of inter-node P2P GPU memory copies in rCUDA. J. Parallel Distributed Comput. 127: 28-43 (2019) - [j29]Carlos Reaño, Javier Prades, Federico Silla:
Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems. J. Parallel Distributed Comput. 132: 344-362 (2019) - [j28]Javier Prades, Federico Silla:
GPU-Job Migration: The rCUDA Case. IEEE Trans. Parallel Distributed Syst. 30(12): 2718-2729 (2019) - 2018
- [j27]Blesson Varghese, Carlos Reaño, Federico Silla:
Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge. IEEE Cloud Comput. 5(6): 28-37 (2018) - [j26]Holger Fröning, Federico Silla:
Heterogeneous and unconventional cluster architectures and applications. Concurr. Comput. Pract. Exp. 30(17) (2018) - [j25]Baldomero Imbernón, Javier Prades, Domingo Giménez, José M. Cecilia, Federico Silla:
Enhancing large-scale docking simulation on heterogeneous systems: An MPI vs rCUDA study. Future Gener. Comput. Syst. 79: 26-37 (2018) - [j24]Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese:
Intra-Node Memory Safe GPU Co-Scheduling. IEEE Trans. Parallel Distributed Syst. 29(5): 1089-1102 (2018) - [c78]Carlos Reaño, Javier Prades, Federico Silla:
Improving the Efficiency of Future Exascale Systems with rCUDA. HiPINEB@HPCA 2018: 40-47 - [c77]Carlos Reaño, Javier Prades, Federico Silla:
Exploring the Use of Remote GPU Virtualization in Low-Power Systems for Bioinformatics Applications. ICPP Workshops 2018: 8:1-8:8 - [c76]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: 9:1-9:8 - [c75]Federico Silla, Javier Prades, Carlos Reaño:
Leveraging rCUDA for Enhancing Low-Power Deployments in the Physics Domain. ICPP Workshops 2018: 17:1-17:8 - [c74]Javier Prades, Federico Silla:
Made-to-Measure GPUs on Virtual Machines with rCUDA. ICPP Workshops 2018: 19:1-19:8 - [i4]Blesson Varghese, Carlos Reaño, Federico Silla:
Accelerator Virtualization in Fog Computing: Moving From the Cloud to the Edge. CoRR abs/1810.06046 (2018) - 2017
- [j23]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) - [j22]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: 28-44 (2017) - [c73]Carlos Reaño, Federico Silla, José Duato:
Enhancing the rCUDA Remote GPU Virtualization Framework: from a Prototype to a Production Solution. CCGrid 2017: 695-698 - [c72]Javier Prades, Federico Silla:
A Live Demo for Showing the Benefits of Applying the Remote GPU Virtualization Technique to Cloud Computing. CCGrid 2017: 735-738 - [c71]Carlos Reaño, Federico Silla:
A Comparative Performance Analysis of Remote GPU Virtualization over Three Generations of GPUs. ICPP Workshops 2017: 121-128 - [c70]Javier Prades, Federico Silla:
Turning GPUs into Floating Devices over the Cluster: The Beauty of GPU Migration. ICPP Workshops 2017: 129-136 - [i3]Carlos Reaño, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese:
Intra-node Memory Safe GPU Co-Scheduling. CoRR abs/1712.04495 (2017) - 2016
- [j21]Federico Silla, Holger Fröning:
Heterogeneous cluster architectures and applications. Concurr. Comput. Pract. Exp. 28(8): 2319-2321 (2016) - [j20]Carlos Reaño, Federico Silla:
Tuning remote GPU virtualization for InfiniBand networks. J. Supercomput. 72(12): 4520-4545 (2016) - [c69]Sergio Iserte, Javier Prades, Carlos Reaño, Federico Silla:
Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm. CCGrid 2016: 98-101 - [c68]Ferran Perez, Carlos Reaño, Federico Silla:
Providing CUDA Acceleration to KVM Virtual Machines in InfiniBand Clusters with rCUDA. DAIS 2016: 82-95 - [c67]Federico Silla, Javier Prades, Sergio Iserte, Carlos Reaño:
Remote GPU Virtualization: Is It Useful? HiPINEB@HPCA 2016: 41-48 - [c66]Carlos Reaño, Federico Silla:
Extending rCUDA with Support for P2P Memory Copies between Remote GPUs. HPCC/SmartCity/DSS 2016: 789-796 - [c65]Santiago Mislata Valero, Federico Silla:
Using Remote Accelerators to Improve the Performance of the FFTW Library. HPCC/SmartCity/DSS 2016: 913-920 - [c64]Carlos Reaño, Federico Silla:
Performance Evaluation of the NVIDIA Pascal GPU Architecture: Early Experiences. HPCC/SmartCity/DSS 2016: 1234-1235 - [c63]Carlos Reaño, Federico Silla, Matthew J. Leslie:
schedGPU: Fine-grain dynamic and adaptative scheduling for GPUs. HPCS 2016: 993-997 - [c62]Carlos Reaño, Federico Silla:
Reducing the performance gap of remote GPU virtualization with InfiniBand Connect-IB. ISCC 2016: 920-925 - [c61]Javier Prades, Carlos Reaño, Federico Silla:
CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA. PPoPP 2016: 35:1-35:2 - [i2]Javier Prades, Blesson Varghese, Carlos Reaño, Federico Silla:
Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application. CoRR abs/1606.04473 (2016) - 2015
- [j19]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): 3746-3770 (2015) - [j18]Javier Prades, Federico Silla, Holger Fröning, Mondrian Nüssle, José Duato:
On the design of a new dynamic credit-based end-to-end flow control mechanism for HPC clusters. Parallel Comput. 46: 32-59 (2015) - [c60]Carlos Reaño, Ferran Perez, Federico Silla:
On the Design of a Demo for Exhibiting rCUDA. CCGRID 2015: 1169-1172 - [c59]Carlos Reaño, Federico Silla:
A Performance Comparison of CUDA Remote GPU Virtualization Frameworks. CLUSTER 2015: 488-489 - [c58]Santiago Mislata Valero, Federico Silla:
On the Execution of Computationally Intensive CPU-Based Libraries on Remote Accelerators for Increasing Performance: Early Experience with the OpenBLAS and FFTW Libraries. CLUSTER 2015: 619-626 - [c57]Carlos Reaño, Federico Silla:
InfiniBand Verbs Optimizations for Remote GPU Virtualization. CLUSTER 2015: 825-832 - [c56]Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla:
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. e-Science 2015: 47-56 - [c55]Carlos Reaño, Federico Silla:
A Live Demo on Remote GPU Accelerated Deep Learning Using the rCUDA Middleware. Middleware Posters and Demos 2015: 3:1-3:2 - [c54]Carlos Reaño, Federico Silla, Gilad Shainer, Scot Schultz:
Local and Remote GPUs Perform Similar with EDR 100G InfiniBand. Middleware Industry 2015: 4:1-4:7 - [i1]Blesson Varghese, Javier Prades, Carlos Reaño, Federico Silla:
Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application. CoRR abs/1508.02558 (2015) - 2014
- [j17]Federico Silla, Holger Fröning:
Special issue on unconventional cluster architectures and applications. Clust. Comput. 17(2): 291 (2014) - [j16]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): 574-588 (2014) - [c53]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: 266-267 - [c52]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: 318-325 - 2013
- [j15]Antoni Roca, Carles Hernández, José Flich, Federico Silla, José Duato:
Silicon-aware distributed switch architecture for on-chip networks. J. Syst. Archit. 59(7): 505-515 (2013) - [c51]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: 1-8 - 2012
- [j14]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
A new degree of freedom for memory allocation in clusters. Clust. Comput. 15(2): 101-123 (2012) - [j13]Carles Hernández, Antoni Roca, Federico Silla, José Flich, José Duato:
On the Impact of Within-Die Process Variation in GALS-Based NoC Performance. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(2): 294-307 (2012) - [c50]Javier Prades, Federico Silla, José Duato, Holger Fröning, Mondrian Nüssle:
A New End-to-End Flow-Control Mechanism for High Performance Computing Clusters. CLUSTER 2012: 320-328 - [c49]Carles Hernández, Federico Silla, José Duato:
Addressing Link Degradation in NoC-Based ULSI Designs. Euro-Par Workshops 2012: 327-336 - [c48]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: 1-10 - [c47]Antoni Roca, Carles Hernández, José Flich, Federico Silla, José Duato:
Enabling High-Performance Crossbars through a Floorplan-Aware Design. ICPP 2012: 269-278 - 2011
- [j12]Carles Hernández, Antoni Roca, José Flich, Federico Silla, José Duato:
Fault-Tolerant Vertical Link Design for Effective 3D Stacking. IEEE Comput. Archit. Lett. 10(2): 41-44 (2011) - [j11]Alessandro Strano, Carles Hernández, Federico Silla, Davide Bertozzi:
Self-Calibrating Source Synchronous Communication for Delay Variation Tolerant GALS Network-on-Chip Design. Int. J. Embed. Real Time Commun. Syst. 2(4): 1-20 (2011) - [j10]Carles Hernández, Antoni Roca, José Flich, Federico Silla, José Duato:
Characterizing the impact of process variation on 45 nm NoC-based CMPs. J. Parallel Distributed Comput. 71(5): 651-663 (2011) - [j9]Antoni Roca, José Flich, Federico Silla, José Duato:
A low-latency modular switch for CMP systems. Microprocess. Microsystems 35(8): 742-754 (2011) - [j8]Samuel Rodrigo, José Flich, Antoni Roca, Simone Medardoni, Davide Bertozzi, Jesús Camacho Villanueva, Federico Silla, José Duato:
Cost-Efficient On-Chip Routing Implementations for CMP and MPSoC Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(4): 534-547 (2011) - [c46]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
MEMSCALE: in-cluster-memory databases. CIKM 2011: 2569-2572 - [c45]José Duato, Antonio J. Peña, Federico Silla, Juan Carlos Fernández, Rafael Mayo, Enrique S. Quintana-Ortí:
Enabling CUDA acceleration within virtual machines using rCUDA. HiPC 2011: 1-10 - [c44]Holger Fröning, Alexander Giese, Héctor Montaner, Federico Silla, José Duato:
Highly scalable barriers for future high-performance computing clusters. HiPC 2011: 1-10 - [c43]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
Unleash Your Memory-Constrained Applications: A 32-Node Non-coherent Distributed-Memory Prototype Cluster. HPCC 2011: 9-16 - [c42]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
MEMSCALETM: A Scalable Environment for Databases. HPCC 2011: 339-346 - [c41]Antoni Roca, Carles Hernández, José Flich, Federico Silla, José Duato:
A Distributed Switch Architecture for On-Chip Networks. ICPP 2011: 21-30 - [c40]Carles Hernández, Federico Silla, José Duato:
Energy and Performance Efficient Thread Mapping in NoC-Based CMPs under Process Variations. ICPP 2011: 41-50 - [c39]José Duato, Antonio J. Peña, Federico Silla, Rafael Mayo, Enrique S. Quintana-Ortí:
Performance of CUDA Virtualized Remote GPUs in High Performance Clusters. ICPP 2011: 365-374 - [r1]Federico Silla:
HyperTransport. Encyclopedia of Parallel Computing 2011: 882-889 - 2010
- [j7]Manolis Katevenis, Vassilis Papaefstathiou, Stamatis G. Kavadias, Dionisios N. Pnevmatikatos, Federico Silla, Dimitrios S. Nikolopoulos:
Explicit Communication and Synchronization in SARC. IEEE Micro 30(5): 30-41 (2010) - [c38]Héctor Montaner, Federico Silla, Holger Fröning, José Duato:
Getting Rid of Coherency Overhead for Memory-Hungry Applications. CLUSTER 2010: 48-57 - [c37]Carles Hernández, Federico Silla, José Duato:
A methodology for the characterization of process variation in NoC links. DATE 2010: 685-690 - [c36]Antoni Roca, José Flich, Federico Silla, José Duato:
A Latency-Efficient Router Architecture for CMP Systems. DSD 2010: 165-172 - [c35]Antoni Roca, José Flich, Federico Silla, José Duato:
VCTlite: Towards an efficient implementation of virtual cut-through switching in on-chip networks. HiPC 2010: 1-12 - [c34]Héctor Montaner, Federico Silla, José Duato:
A practical way to extend shared memory support beyond a motherboard at low cost. HPDC 2010: 155-166 - [c33]José Duato, Antonio J. Peña, Federico Silla, Rafael Mayo, Enrique S. Quintana-Ortí:
rCUDA: Reducing the number of GPU-based accelerators in high performance clusters. HPCS 2010: 224-231 - [c32]Alessandro Strano, Carles Hernández, Federico Silla, Davide Bertozzi:
Process variation and layout mismatch tolerant design of source synchronous links for GALS networks-on-chip. SoC 2010: 43-48 - [c31]Samuel Rodrigo, José Flich, Antoni Roca, Simone Medardoni, Davide Bertozzi, Jesús Camacho Villanueva, Federico Silla, José Duato:
Addressing Manufacturing Challenges with Cost-Efficient Fault Tolerant Routing. NOCS 2010: 25-32 - [c30]Carles Hernández, Antoni Roca, Federico Silla, José Flich, José Duato:
Improving the Performance of GALS-Based NoCs in the Presence of Process Variation. NOCS 2010: 35-42
2000 – 2009
- 2009
- [c29]José Duato, Francisco D. Igual, Rafael Mayo, Antonio J. Peña, Enrique S. Quintana-Ortí, Federico Silla:
An Efficient Implementation of GPU Virtualization in High Performance Clusters. Euro-Par Workshops 2009: 385-394 - [c28]Carles Hernández, Federico Silla, Vicente Santonja, José Duato:
A new mechanism to deal with process variability in NoC links. IPDPS 2009: 1-11 - [c27]Samuel Rodrigo, Carles Hernández, José Flich, Federico Silla, José Duato, Simone Medardoni, Davide Bertozzi, Andres Mejia, Donglai Dai:
Yield-oriented evaluation methodology of network-on-chip routing implementations. SoC 2009: 100-105 - 2008
- [c26]Héctor Montaner, Federico Silla, Vicente Santonja, José Duato:
Network Reconfiguration Suitability for Scientific Applications. ICPP 2008: 312-319 - [c25]Roger Ferrer, Marc González, Federico Silla, Xavier Martorell, Eduard Ayguadé:
Evaluation of memory performance on the cell BE with the SARC programming model. MEDEA@PACT 2008: 77-84 - 2004
- [j6]Juan M. Orduña, Federico Silla, José Duato:
On the development of a communication-aware task mapping technique. J. Syst. Archit. 50(4): 207-220 (2004) - 2003
- [c24]Román García, José Duato, Federico Silla:
LSOM: A Link State Protocol Over Mac Addresses for Metropolitan Backbones Using Optical Ethernet Switches. NCA 2003: 315-321 - 2002
- [j5]Juan M. Orduña, Federico Silla, José Duato:
A Clustering Method for Modeling the Communication Requirements of Message-Passing Applications. Comput. Artif. Intell. 21(1): 1-16 (2002) - [c23]Shubhendu S. Mukherjee, Federico Silla, Peter J. Bannon, Joel S. Emer, Steven Lang, David Webb:
A comparative study of arbitration algorithms for the Alpha 21364 pipelined router. ASPLOS 2002: 223-234 - 2001
- [j4]Juan M. Orduña, Federico Silla, José Duato:
Towards a Communication-Aware Task Scheduling Strategy for Heterogeneous Systems. Comput. Artif. Intell. 20(3): 245-267 (2001) - [j3]José Duato, Antonio Robles, Federico Silla, Ramón Beivide:
A Comparison of Router Architectures for Virtual Cut-Through and Wormhole Switching in a NOW Environment. J. Parallel Distributed Comput. 61(2): 224-253 (2001) - [c22]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
A Tool for the Design and Evaluation of Fibre Channel Storage Area Networks. Annual Simulation Symposium 2001: 133- - [c21]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
Improving Network Performance by Efficiently Dealing with Short Control Messages in Fibre Channel SANs. Euro-Par 2001: 901-910 - [c20]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
On the Switch Architecture for Fibre Channel Storage Area Networks. ICPADS 2001: 484-491 - [c19]Juan M. Orduña, Federico Silla, José Duato:
A New Task Mapping Technique for Communication-Aware Scheduling Strategies. ICPP Workshops 2001: 349-354 - [c18]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
On the Interconnection Topology for Storage Area Networks. IPDPS 2001: 162 - [c17]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
On the Scalability of Topologies for Storage Area Networks in Building Environments. NCA 2001: 332-335 - [c16]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
On the Impact of Message Packetization in Networks of Workstations with Irregular Topology. PDP 2001: 3-10 - 2000
- [j2]Federico Silla, José Duato:
High-Performance Routing in Networks of Workstations with Irregular Topology. IEEE Trans. Parallel Distributed Syst. 11(7): 699-719 (2000) - [j1]Federico Silla, José Duato:
On the Use of Virtual Channels in Networks of Workstations with Irregular Topology. IEEE Trans. Parallel Distributed Syst. 11(8): 813-828 (2000) - [c15]Xavier Molero, Federico Silla, Vicente Santonja:
Modeling and Simulation of a Network of Workstations with Wormhole Switching. Annual Simulation Symposium 2000: 299- - [c14]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
Performance analysis of storage area networks using high-speed LAN interconnects. ICON 2000: 474-478 - [c13]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
Performance Sensitivity of Routing Algorithms to Failures in Networks of Worksations. ISHPC 2000: 230-242 - [c12]Juan Carlos Martínez, Federico Silla, Pedro López, José Duato:
On the Influence of the Selection Function on the Performance of Networks of Workstations. ISHPC 2000: 292-299 - [c11]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
On the Effect of Link Failures in Fibre Channel Storage Area Networks. ISPAN 2000: 102-113 - [c10]Xavier Molero, Federico Silla, Vicente Santonja, José Duato:
Modeling and Simulation of Storage Area Networks. MASCOTS 2000: 307-314
1990 – 1999
- 1999
- [c9]Federico Silla, José Duato:
Is It Worth the Flexibility Provided by Irregular Topologies in Networks of Workstations? CANPC 1999: 47-61 - [c8]José Duato, Antonio Robles, Federico Silla, Ramón Beivide:
A Comparison of Router Architectures for Virtual Cut-Through and Wormhole Switching in a NOWEnvironment. IPPS/SPDP 1999: 240-247 - 1998
- [c7]Federico Silla, José Duato, Anand Sivasubramaniam, Chita R. Das:
Virtual channel multiplexing in networks of workstations with irregular topology. HiPC 1998: 147-154 - [c6]Federico Silla, Antonio Robles, José Duato:
Improving Performance of Networks of Workstations by using Disha Concurrent. ICPP 1998: 80-87 - [c5]Federico Silla, Manuel P. Malumbres, José Duato, Donglai Dai, Dhabaleswar K. Panda:
Impact of Adaptivity on the Behaviour of Networks of Workstations under Bursty Traffic. ICPP 1998: 88-95 - 1997
- [c4]Federico Silla, Manuel P. Malumbres, Antonio Robles, Pedro López, José Duato:
Efficient Adaptive Routing in Networks of Workstations with Irregular Topology. CANPC 1997: 46-60 - [c3]Federico Silla, José Duato:
Improving the efficiency of adaptive routing in networks with irregular topology. HiPC 1997: 330-335 - [c2]Federico Silla, José Duato:
On the Use of Virtual Channels in Networks of Workstations with Irregular Topology. PCRCW 1997: 203-216 - 1996
- [c1]José Duato, Pedro López, Federico Silla, Sudhakar Yalamanchili:
A High Performance Router Architecture for Interconnection Networks. ICPP, Vol. 1 1996: 61-68
Coauthor Index
[c73] [j19] [j18] [j16] [c53] [c52] [j15] [c51] [j14] [j13] [c50] [c49] [c48] [c47] [j12] [j10] [j9] [j8] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [j6] [c24] [j5] [j4] [j3] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j2] [j1] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-04 20:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
