Challenges and Opportunities on Parallel/Distributed Programming for Large-scale: From Multi-core to Clouds

D. Caromel
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Abstract

This talk will (modestly) attend to address challenges and opportunities ahead of us for making parallel programming as efficient, as productive, as effective as possible, on both Multi-cores and large-scale infrastructures such as Grids and Clouds. We draw on our experience at simplifying the programming of applications that are distributed on Local Area Network (LAN), on cluster of workstations, or GRIDs, and of course, Clouds. We will discuss a specific approach, Network On Ship, to cope seamlessly with both distributed and shared-memory multi-core machines. The point will be illustrated with ProActive an Open Source library for parallel, distributed, and concurrent computing, allowing to showcase interactive and graphical GUI and tools. Benchmarks on platforms such as Grid 5000, together with standardization and collaboration with Chinese partners will also be reported.
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大规模并行/分布式编程的挑战与机遇:从多核到云
本次演讲将(适度地)关注我们面临的挑战和机遇,以使并行编程在多核和大型基础设施(如网格和云)上尽可能高效、高效和有效。我们利用我们在简化分布在局域网(LAN)、工作站集群或网格,当然还有云上的应用程序编程方面的经验。我们将讨论一种特定的方法,Network On Ship,以无缝地处理分布式和共享内存的多核机器。这一点将通过ProActive来说明,它是一个用于并行、分布式和并发计算的开源库,允许展示交互式和图形化GUI和工具。还将报告Grid 5000等平台的基准,以及与中国合作伙伴的标准化和合作。
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Towards Visualization Scalability through Time Intervals and Hierarchical Organization of Monitoring Data Collusion Detection for Grid Computing Resource Information Aggregation in Hierarchical Grid Networks Distributed Indexing for Resource Discovery in P2P Networks Challenges and Opportunities on Parallel/Distributed Programming for Large-scale: From Multi-core to Clouds
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