Fujii, Y. Yasuda, H. Akashi, Y. Inagami, M. Koga, O. Ishihara, M. Syazwan, H. Wada, T. Sumimoto, Architecture and performance of the Hitachi SR massively parallel processor system , Proceedings of 11th International Parallel Processing Symposium, April , pages — Grid computing: experiment management, tool integration, and scientific workflows.
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Parallel computing. Process Thread Fiber Instruction window Array data structure. Multiprocessing Memory coherency Cache coherency Cache invalidation Barrier Synchronization Application checkpointing. Stream processing Dataflow programming Models Implicit parallelism Explicit parallelism Concurrency Non-blocking algorithm. Ateji PX Boost. Category: parallel computing Media related to Parallel computing at Wikimedia Commons.
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Stream computing based synchrophasor application for power grids
The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives.
Book file PDF easily for everyone and every device. Energy Systems Integration Facility Menu. High-Performance Computing Data Center The Energy Systems Integration Facility's High-Performance Computing Data Center is home to Eagle—the largest high-performance computing system in the world exclusively dedicated to advancing renewable energy and energy efficiency technologies. Follow NREL.