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16th Symposium on Computer Architecture and High Performance Computing : proceedings : October 27th -29th, 2004, Foz do Iguaçu, PR, Brazil
| 16th Symposium on Computer Architecture and High Performance Computing : proceedings : October 27th -29th, 2004, Foz do Iguaçu, PR, Brazil |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2004 |
| Disciplina | 004.2/2 |
| Soggetto topico |
Computer architecture
High performance computing Engineering & Applied Sciences Computer Science |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996199923303316 |
| [Place of publication not identified], : IEEE Computer Society, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
16th Symposium on Computer Architecture and High Performance Computing : proceedings : October 27th -29th, 2004, Foz do Iguaçu, PR, Brazil
| 16th Symposium on Computer Architecture and High Performance Computing : proceedings : October 27th -29th, 2004, Foz do Iguaçu, PR, Brazil |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2004 |
| Disciplina | 004.2/2 |
| Soggetto topico |
Computer architecture
High performance computing Engineering & Applied Sciences Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910872514203321 |
| [Place of publication not identified], : IEEE Computer Society, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2004 Computing Frontier Conference April 14-16, 2004, Ischia, Italy
| 2004 Computing Frontier Conference April 14-16, 2004, Ischia, Italy |
| Autore | Vassiliadis Stamatis |
| Pubbl/distr/stampa | New York NY, : ACM Press, 2004 |
| Descrizione fisica | 1 online resource (522 p.;) |
| Disciplina | 004 |
| Collana | ACM Conferences |
| Soggetto topico |
Computer science
Information technology Computer networks Engineering & Applied Sciences Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | CF '04 |
| Record Nr. | UNINA-9910375844003321 |
Vassiliadis Stamatis
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| New York NY, : ACM Press, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
High Performance Computing in Clouds [[electronic resource] ] : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux
| High Performance Computing in Clouds [[electronic resource] ] : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux |
| Autore | Borin Edson |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (337 pages) |
| Disciplina | 004.6782 |
| Altri autori (Persone) |
DrummondLúcia Maria A
GaudiotJean-Luc MeloAlba Melo AlvesMaicon NavauxPhilippe Olivier Alexandre |
| Soggetto topico |
Cloud Computing
Big data Machine learning Big Data Machine Learning |
| ISBN | 3-031-29769-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter. 1. Why move HPC applications to the Cloud? -- Part. I. Foundations -- Chapter. 2. What is Cloud Computing? -- Chapter. 3. What do HPC applications look like? -- Part. II. Running HPC Applications in Cloud -- Chapter. 4. Deploying and Configuring Infrastructure -- Chapter. 5. Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers -- Chapter. 6. Designing Cloud-friendly HPC Applications -- Chapter. 7. Exploiting Hardware Accelerators in Clouds -- Part III. Cost and Performance Optimizations -- Chapter. 8. Optimizing Infrastructure for MPI Applications -- Chapter. 9. Harnessing Low-Cost Virtual Machines on the Spot -- Chapter. 10. Ensuring Application Continuity with Fault Tolerance Techniques -- Chapter. 11. Avoiding Resource Wastage -- Part. IV. Application Study Cases -- Chapter. 12. Biological Sequence Comparison on Cloud-based GPU Environment -- Chapter. 13. Oil & Gas Reservoir Simulation in the Cloud -- Chapter. 14. Cost effective deep learning on the cloud -- Appendix A. Deploying an HPC cluster on AWS -- Appendix B. Configuring a cloud-deployed HPC cluster. |
| Record Nr. | UNISA-996546824003316 |
|
Borin Edson
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
High Performance Computing in Clouds : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux
| High Performance Computing in Clouds : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux |
| Autore | Borin Edson |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (337 pages) |
| Disciplina | 004.6782 |
| Altri autori (Persone) |
DrummondLúcia Maria A
GaudiotJean-Luc MeloAlba Melo AlvesMaicon NavauxPhilippe Olivier Alexandre |
| Soggetto topico |
Cloud Computing
Big data Machine learning Big Data Machine Learning |
| ISBN | 3-031-29769-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter. 1. Why move HPC applications to the Cloud? -- Part. I. Foundations -- Chapter. 2. What is Cloud Computing? -- Chapter. 3. What do HPC applications look like? -- Part. II. Running HPC Applications in Cloud -- Chapter. 4. Deploying and Configuring Infrastructure -- Chapter. 5. Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers -- Chapter. 6. Designing Cloud-friendly HPC Applications -- Chapter. 7. Exploiting Hardware Accelerators in Clouds -- Part III. Cost and Performance Optimizations -- Chapter. 8. Optimizing Infrastructure for MPI Applications -- Chapter. 9. Harnessing Low-Cost Virtual Machines on the Spot -- Chapter. 10. Ensuring Application Continuity with Fault Tolerance Techniques -- Chapter. 11. Avoiding Resource Wastage -- Part. IV. Application Study Cases -- Chapter. 12. Biological Sequence Comparison on Cloud-based GPU Environment -- Chapter. 13. Oil & Gas Reservoir Simulation in the Cloud -- Chapter. 14. Cost effective deep learning on the cloud -- Appendix A. Deploying an HPC cluster on AWS -- Appendix B. Configuring a cloud-deployed HPC cluster. |
| Record Nr. | UNINA-9910734841203321 |
|
Borin Edson
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Symposium on Computer Architecture and High Performance: 19th: 2007: Gramado, RS, Brazil
| International Symposium on Computer Architecture and High Performance: 19th: 2007: Gramado, RS, Brazil |
| Autore | Gaudiot Jean-Luc |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society Press, 2007 |
| Disciplina | 004/.35 |
| Altri autori (Persone) |
GaudiotJean-Luc
RebelloVinod E. F NavauxPhilippe O. A |
| ISBN | 1-5090-8785-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996211054903316 |
|
Gaudiot Jean-Luc
|
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| [Place of publication not identified], : IEEE Computer Society Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International Symposium on Computer Architecture and High Performance: 19th: 2007: Gramado, RS, Brazil
| International Symposium on Computer Architecture and High Performance: 19th: 2007: Gramado, RS, Brazil |
| Autore | Gaudiot Jean-Luc |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society Press, 2007 |
| Disciplina | 004/.35 |
| Altri autori (Persone) |
GaudiotJean-Luc
RebelloVinod E. F NavauxPhilippe O. A |
| ISBN |
9781509087853
1509087850 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910143005303321 |
|
Gaudiot Jean-Luc
|
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| [Place of publication not identified], : IEEE Computer Society Press, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Network and Parallel Computing [[electronic resource] ] : 16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings / / edited by Xiaoxin Tang, Quan Chen, Pradip Bose, Weiming Zheng, Jean-Luc Gaudiot
| Network and Parallel Computing [[electronic resource] ] : 16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings / / edited by Xiaoxin Tang, Quan Chen, Pradip Bose, Weiming Zheng, Jean-Luc Gaudiot |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIV, 385 p. 191 illus., 131 illus. in color.) |
| Disciplina | 004.35 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer engineering
Computer networks Artificial intelligence Numerical analysis Application software Operating systems (Computers) Computers Computer Engineering and Networks Artificial Intelligence Numerical Analysis Computer and Information Systems Applications Operating Systems Computer Hardware |
| ISBN | 3-030-30709-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Graph Computing -- GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing -- NOC and Networks -- KLSAT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Simulated Annealing for a Specific WK-recursive NoC Architecture -- Modeling and Analysis of the Latency-based Congestion Control Algorithm DX -- Distributed Quality-aware Resource Allocation for Video Transmission in Wireless Networks -- Neural Networks -- PRTSM: hardware data arrangement mechanisms for convolutional layer computation on the systolic array -- PParabel: Parallel Partitioned Label Trees for Extreme Classification -- Parking Behavior Analysis and Prediction -- Big data+Cloud -- ASTracer: An Efficient Tracing Tool for HDFS with Adaptive Sampling -- BGElasor: Elastic-Scaling Framework for Distributed streaming Processing with Deep Neural Network -- High Performance Continuous Query System for Streaming Data -- DDP-B: A Distributed Dynamic Parallel Framework for Meta-genomics Binary Similarity -- Optimal Resource Allocation through Joint VM Selection and Placement in Private Clouds -- A Parallel Multi-Keyword Top-k Search Scheme over Encrypted Cloud Data -- N-Docker: a NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance -- HPC -- MMSR: A Multi-Model Super Resolution Framework -- HiPower: A High-performance RDMA Acceleration Solution for Distributed Transaction Processing -- Emerging topics -- LDAPRoam:A Generic Solution For Both Web-Based And Non-Web-Based Federate Access -- Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System -- Memory and File System -- Spindle: A Write-Optimized NVM Cache for Journaling File System -- Two-Erasure Codes from 3-Plexes -- Deep Fusion: A Software Scheduling Method for Memory Access Optimization -- Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning -- Short Papers -- I/O Optimizations Based on Workload Characteristics for Parallel File System -- Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction -- Efficient Processing of Convolutional Neural Networks on SW26010 -- ADMMLIB: A Scalable Distributed Machine Learning Library based on ADMM -- Energy-Aware Resource Scheduling with Fault-Tolerance in Edge Computing -- DIN: A Bio-Inspired Distributed Intelligence Networking -- A DAG Refactor Based Automatic Execution Optimization Mechanism For Spark -- BTS: Balanced Task Scheduling Strategy based on Multi-resource Prediction and Allocation in Cloud Environment -- DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection -- SIRM: Shift Insensitive Racetrack Main Memory -- PDRM:A Probability Distribution Based Resource Management Scheme for Batch Workloads in Heterogeneous Cluster. |
| Record Nr. | UNISA-996466424403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Network and Parallel Computing : 16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings / / edited by Xiaoxin Tang, Quan Chen, Pradip Bose, Weiming Zheng, Jean-Luc Gaudiot
| Network and Parallel Computing : 16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23–24, 2019, Proceedings / / edited by Xiaoxin Tang, Quan Chen, Pradip Bose, Weiming Zheng, Jean-Luc Gaudiot |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIV, 385 p. 191 illus., 131 illus. in color.) |
| Disciplina | 004.35 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer engineering
Computer networks Artificial intelligence Numerical analysis Application software Operating systems (Computers) Computers Computer Engineering and Networks Artificial Intelligence Numerical Analysis Computer and Information Systems Applications Operating Systems Computer Hardware |
| ISBN | 3-030-30709-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Graph Computing -- GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing -- NOC and Networks -- KLSAT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Simulated Annealing for a Specific WK-recursive NoC Architecture -- Modeling and Analysis of the Latency-based Congestion Control Algorithm DX -- Distributed Quality-aware Resource Allocation for Video Transmission in Wireless Networks -- Neural Networks -- PRTSM: hardware data arrangement mechanisms for convolutional layer computation on the systolic array -- PParabel: Parallel Partitioned Label Trees for Extreme Classification -- Parking Behavior Analysis and Prediction -- Big data+Cloud -- ASTracer: An Efficient Tracing Tool for HDFS with Adaptive Sampling -- BGElasor: Elastic-Scaling Framework for Distributed streaming Processing with Deep Neural Network -- High Performance Continuous Query System for Streaming Data -- DDP-B: A Distributed Dynamic Parallel Framework for Meta-genomics Binary Similarity -- Optimal Resource Allocation through Joint VM Selection and Placement in Private Clouds -- A Parallel Multi-Keyword Top-k Search Scheme over Encrypted Cloud Data -- N-Docker: a NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance -- HPC -- MMSR: A Multi-Model Super Resolution Framework -- HiPower: A High-performance RDMA Acceleration Solution for Distributed Transaction Processing -- Emerging topics -- LDAPRoam:A Generic Solution For Both Web-Based And Non-Web-Based Federate Access -- Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System -- Memory and File System -- Spindle: A Write-Optimized NVM Cache for Journaling File System -- Two-Erasure Codes from 3-Plexes -- Deep Fusion: A Software Scheduling Method for Memory Access Optimization -- Optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning -- Short Papers -- I/O Optimizations Based on Workload Characteristics for Parallel File System -- Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction -- Efficient Processing of Convolutional Neural Networks on SW26010 -- ADMMLIB: A Scalable Distributed Machine Learning Library based on ADMM -- Energy-Aware Resource Scheduling with Fault-Tolerance in Edge Computing -- DIN: A Bio-Inspired Distributed Intelligence Networking -- A DAG Refactor Based Automatic Execution Optimization Mechanism For Spark -- BTS: Balanced Task Scheduling Strategy based on Multi-resource Prediction and Allocation in Cloud Environment -- DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection -- SIRM: Shift Insensitive Racetrack Main Memory -- PDRM:A Probability Distribution Based Resource Management Scheme for Batch Workloads in Heterogeneous Cluster. |
| Record Nr. | UNINA-9910349277203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||