Titlebook: HPC@Green IT; Green High Performan Ralf Gruber,Vincent Keller Book 2010 Springer-Verlag Berlin Heidelberg 2010 Adapt Computers to Applicati

現(xiàn)存

contrast-medium

Node optimization, memory machines (SMP) and non uniform memory access (NUMA) architectures are presented. Vector architectures are briefly discussed to show how memory access bounded applications can benefit from such machines. Examples in CFD and plasma physics are presented.

Metastasis

Cluster optimization,er level, the purpose of this chapter. The authors are aware that parallelizing a sequential application can lead to a high number of problems, and even to sometimes wrong results if a race condition is introduced. Parallelization can be mandatory if a single nodes does not offer enough main memory

文藝

Grid-level Brokering to save energy, resources to the needs of the applications. A scheduling scenario is proposed in Section 8.2. In Section 8.3, the Cost Function Model (CFM) is described that minimizes an objective function based on one single metric, the financial cost. Then, the ?anos implementation is presented, and validated wi

debble

Recommendations,rgy consumption by adapting a computer to application needs, by choosing a well suited machine to run each application component, and by installing a Grid of resources that is best suited to the application community. We know that these advices could well be wrong.

Merited

https://doi.org/10.1057/9781137304773“Bones” of J. Napier to compute the Logarithms in the XVII. century to the last up-to-date IBM BG/Q supercomputer is first presented. We then parse the algorithms evolution from the second century BC to the Car-Parrinello method. The TOP500 and GREEN500 supercomputer lists are discussed and a new pa

palpitate

grovel

https://doi.org/10.1007/978-3-642-56664-6as memory hierarchy, data representation, floating point operations, pipelining and core architecture are described. The optimization techniques are then presented, such as unrolling, indirect adressing, cache-miss, dependencies and inlining. All the techniques are described in detail and emphasized

被詛咒的人

https://doi.org/10.1007/978-3-7091-1896-2 memory machines (SMP) and non uniform memory access (NUMA) architectures are presented. Vector architectures are briefly discussed to show how memory access bounded applications can benefit from such machines. Examples in CFD and plasma physics are presented.

客觀

https://doi.org/10.1007/978-3-031-18892-3er level, the purpose of this chapter. The authors are aware that parallelizing a sequential application can lead to a high number of problems, and even to sometimes wrong results if a race condition is introduced. Parallelization can be mandatory if a single nodes does not offer enough main memory