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Conference

Using grid technologies to face medical image analysis challenges

Subjects: [INFO.INFO-DC]Computer Science [cs]/Distributed; Parallel; and Cluster Computing [cs.DC]Tokyo; Japan

  • Source: BioGrid'03 workshop, proceedings of the IEEE CCGrid'03 ; Biogrid'03 workshop ; https://hal.science/hal-00691658 ; Biogrid'03 workshop, May 2003, Tokyo, Japan. pp.588-593

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Conference

Cost-Efficient and Latency-Aware Event Consuming in Workload-Skewed Distributed Event Queues

Subjects: Distributed Event Queue; Autoscale; RebalancingBirmingham; United Kingdom

  • Source: ICCBDC '22: Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing ; 6th International Conference on Cloud and Big Data Computing (ICCBDC’2022) ;

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Conference

Resilience Issues for Application Workflows on Clouds

Subjects: [INFO.INFO-DC]Computer Science [cs]/Distributed; Parallel; and Cluster Computing [cs.DC]Sint-Maarten; Netherlands

  • Source: ICNS2012 - Eighth International Conference on Networking and Services ; https://inria.hal.science/hal-00700434 ; ICNS2012 - Eighth International Conference on Networking and Services, IARIA, Mar 2012,

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Conference

Distributed Workflows for Multi-physics Applications in Aeronautics

Subjects: Workflows; Multi-physics Design; GridsXian; China

  • Source: Computer Supported Collaborative Work in Design ; https://inria.hal.science/inria-00259544 ; Computer Supported Collaborative Work in Design, Xian Jiao Tong University, Apr 2008, Xian, China

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Conference

Issues in Managing Variability of Medical Imaging Grid Services

Subjects: Medical Imaging; Grid Computing; Image ProcessingNew York; United States

  • Source: Proceedings of the MICCAI-Grid Workshop ; MICCAI-Grid Workshop ; https://hal.science/hal-00459517 ; MICCAI-Grid Workshop, Sep 2008, New York, United States. pp.95--104

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Report

Towards a Generic API for Data Load Balancing in Structured P2P Systems

Subjects: API; Load Balancing; Modularity

  • Source: https://inria.hal.science/hal-01022722 ; [Research Report] RR-8564, INRIA. 2014, pp.18.

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Dissertation/ Thesis

Towards Efficient Risk Quantification - Using GPUs and Variance Reduction Technique

Subjects: mathematical finance VaR; GPU; option pricing

  • Source: https://inria.hal.science/hal-00932233 ; Distributed, Parallel, and Cluster Computing [cs.DC]. 2013.

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