The Lawrence Berkeley Laboratory LBL Information and Computing Sciences and Research Medicine Divisions have collaborated with the Pittsburgh Supercomputer Center to demonstrate one distributed application that illuminates the issues and potential of using networks to configure virtual systems.
This application allows the interactive visualization of large three-dimensional 3D scalar fields voxel data sets by using a network-based configuration of heterogeneous supercomputers and workstations. The specific test case is visualization of 3D magnetic resonance imaging MRI data.
High Performance Computing Systems and Applications | Jonathan Schaeffer | Springer
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High-Performance Computing: Dos and Don’ts
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The anatomy of a high performance computer
Asenjo et al. Falkemeier, G. High performance computational chemistry; NWChem and fully distributed parallel applications M. Guest et al. High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality.
High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers.
In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems. The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business.
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