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This special issue is devoted to the work by researchers in aerospace, computer science, and applied mathematics to harness the computational power of today's parallel computers to these high performance computing needs of the aerospace industry.
ITS can provide infrastructure and management for high performance computing needs, including specialized setups.
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The cluster, Horseshoe, is the largest supercomputer in Denmark and services more than 400 researchers for their high-performance computing needs.
ICS's mission is to support Penn State researchers' high-performance computing needs across a huge span, from weather patterns on Mars to Twitter streams in Tunisia.
Unsurprisingly, those machines are still extremely expensive, and Cray's focus remains squarely on the high-performance computing needs of researchers in both academia and the industry.
To support the ability of reviewers to assess the assertions of authors and to validate the results pre-publication, and for readers to reproduce the in silico experiments described by the authors, high performance computing infrastructure needs to be in place where datasets and software applications are co-located in a grid infrastructure or virtualized in a cloud computing environment.
Members of C³ conduct research in a number of areas where high performance computing is needed to support theoretical and observational cosmology, or where massively parallel cosmology codes can help to drive computational science research and development.
Because the CTU-13 data sets contains more than 20 million NetFlow records, High performance computing is needed to speed up the extraction of graph-based features.
Different types of cloud infrastructures including traditional cloud and high performance computing (HPC), need to be enhanced to support dynamic power demands (i.e., adjust powers automatically), which in turn creates new challenges in designing architecture, infrastructure, and communications which are energy efficient and power aware resources.
High Performance Computing (HPC) clouds need to be efficiently shared between selfish tenants having applications with different resource requirements and Service Level Objectives (SLOs).
Computationally speaking, the difficulty is to combine high performance computing with the need to couple various codes or solvers, each representing a different scale or a different physical process.
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