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Recent developments in high-performance computing and simulation: distributed systems, architectures, algorithms, and applications

机译:高性能计算和仿真的最新发展:分布式系统,体系结构,算法和应用

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摘要

High-performance computing (HPC) helps address real-world problems by providing strong environmentsrnand support to run data and computational intensive algorithms, complex numerical simulations, andrnparallel scientific codes. However, the increasing needs to tackle high-resolution exascale, complexrnsystems, and multi-scale data-intensive sciences require dealing with new computing platforms withrnmillions of cores and more complex software and hardware solutions. In such a landscape, keyrnrequirements on concurrency, energy, storage, I/O, resiliency, networking, and so on need to bernre-examined and investigated at different levels.
机译:高性能计算(HPC)通过提供强大的环境并支持运行数据和计算密集型算法,复杂的数值模拟以及并行的科学代码,来帮助解决实际问题。但是,解决高分辨率百亿亿次级,复杂系统和多规模数据密集型科学的需求不断增长,这就要求应对具有数百万个内核的新计算平台以及更复杂的软件和硬件解决方案。在这种情况下,需要对并发,能源,存储,I / O,弹性,网络等关键要求进行不同层次的研究。

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