High performance computing.
Overview
| Works: | 86 works in 54 publications in 54 languages | |
|---|---|---|
Titles
Phase-locking in high-performance systems :from devices to architectures /
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High performance scientific and engineering computing :hardware/software support /
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High performance computing and the art of parallel programmingan introduction for geographers, social scientists, and engineers /
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A parallel algorithm synthesis procedure for high-performance computer architectures /
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High performance computing in science and engineering '08transactions of the High Performance Computing Center, Stuttgart (HLRS) 2008 /
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High-performance embedded computingarchitectures, applications, and methodologies /
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High performance mass storage and parallel I/O :technologies and applications /
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Computational issues in high performance software for nonlinear optimization
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SCI-Scalable coherent interfacearchitecture and software for hgh-performance compute clusters /
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Coupled data communication techniques for high-performance and low-power computing
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High performance computing in science and engineering '09transactions of the High Performance Computing Center, Stuttgart (HLRS) 2009 /
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High-performance computing on the Intel Xeon Phihow to fully exploit MIC architectures /
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Concurrent objects and beyondpapers dedicated to Akinori Yonezawa on the occasion of his 65th birthday /
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High performance computing in science and engineering '14transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014 /
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Handbook of research on high performance and cloud computing in scientific research and education /
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Guide to dataflow supercomputingbasic concepts, case studies, and a detailed example /
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High performance embedded computingapplications in cyber-physical systems and mobile computing /
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High-performance computing for structural mechanics and earthquake/tsunami engineering
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High performance computing in science and engineering'15transactions of the high performance computing center, stuttgart (HLRS) 2015 /
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High performance computing in science and engineering '16transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016 /
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High performance scientific computing using distributed infrastructuresresults and scientific applications derived from the Italian PON ReCaS Project /
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The student supercomputer challenge guidefrom supercomputing competition to the next HPC generation /
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High-performance modelling and simulation for big data applicationsselected results of the COST Action IC1406 cHiPSet /
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Advanced software technologies for post-Peta scale computingthe Japanese post-Peta CREST research project /
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The art of high performance computing for computational science.Volume 1,Techniques of speedup and parallelization for general purposes
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The art of high performance computing for computational science.Vol. 2,Advanced techniques and examples for materials science
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Deep learning and edge computing solutions for high performance computing
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High performance computing in science and engineering '19transactions of the High Performance Computing Center, Stuttgart (HLRS) 2019 /
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Intel Xeon Phi processor high performance programmingknights landing edition /
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Principles of high-performance processor designfor high performance computing, deep neural networks and data science /
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High performance computing in science and engineering '20Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2020 /
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Parallel dynamic and transient simulation of large-scale power systemsa high performance computing solution /
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Embedded computing for high performanceefficient mapping of computations using customization, code transformations and compilation /
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High performance computing in cloudsmoving HPC applications to a scalable and cost-effective environment /
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Parallel C++efficient and scalable high-performance parallel programming using HPX /
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Speed metrics guidechoosing the right metrics to use when evaluating websites /
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High performance geographic information systemarchitecture and technologies /
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Artificial intelligence and high performance computing in the cloudresearch and application challenges /
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