By Jeffrey S. Vetter

Contemporary excessive functionality Computing: From Petascale towards Exascale specializes in the ecosystems surrounding the world’s top facilities for prime functionality computing (HPC). It covers a number of the vital elements eager about every one atmosphere: computing device architectures, software program, purposes, amenities, and sponsors.

The first a part of the booklet examines major tendencies in HPC structures, together with laptop architectures, purposes, functionality, and software program. It discusses the expansion from terascale to petascale computing and the impact of the TOP500 and Green500 lists. the second one a part of the e-book presents a entire assessment of 18 HPC ecosystems from world wide. each one bankruptcy during this part describes programmatic motivation for HPC and their vital purposes; a flagship HPC process review overlaying machine structure, approach software program, programming structures, garage, visualization, and analytics aid; and an summary in their facts center/facility. The final a part of the booklet addresses the function of clouds and grids in HPC, together with chapters at the Magellan, FutureGrid, and LLGrid projects.

With contributions from best researchers at once curious about designing, deploying, and utilizing those supercomputing structures, this publication captures an international photograph of the state-of-the-art in HPC.

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Additional info for Contemporary High Performance Computing: From Petascale toward Exascale (Chapman & Hall/CRC Computational Science)

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3 Clouds and Grids in HPC . . . . . . . . . . . . . . . . . . . . . . . 3 4 6 6 8 8 8 8 9 9 10 High Performance Computing High Performance Computing (HPC) is used to solve a number of complex questions in computational and data-intensive sciences. These questions include the simulation and modeling of physical phenomena, such as climate change, energy production, drug design, global security, and materials design; the analysis of large data sets, such as those in genome sequencing, astronomical observation, and cybersecurity; and the intricate design of engineered products, such as airplanes.

2 The First List . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Community Response and List Evolution . . . . . . . . . . . . . . . 1 What Is the Requirement to Qualify? . . . . . . . . . . 2 What Benchmark Should Be Run? . . . . . . . . . . . . 3 How Much Gets Counted? . . . . . . . . . . . . . . . . Emerging Trends and the Greening of Supercomputing . . . . .

3 How Much Gets Counted? . . . . . . . . . . . . . . . . Emerging Trends and the Greening of Supercomputing . . . . . . . . . . . . 1 The Effect of Accelerators . . . . . . . . . . . . . . . . . . . . . . . 2 Trends for the Future . . . . . . . . . . . . . . . . . . . . . . . . . 31 32 34 34 34 35 35 36 37 37 38 38 38 39 Traditional Supercomputing: Performance, Performance, Performance From the birth of supercomputing, the metric of importance has been performance relative to operations per second, or more specifically, floating-point operations per second (FLOPS).

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