Titlebook: Introduction to HPC with MPI for Data Science; Frank Nielsen Textbook 2016 Springer International Publishing Switzerland 2016 Data Science

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Introduction to HPC with MPI for Data Science978-3-319-21903-5Series ISSN 1863-7310 Series E-ISSN 2197-1781

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A Glance at High Performance Computing (HPC)mming languages and application programming interfaces (APIs), the dedicated software tools, the international specialized conferences (ACM/IEEE Super-Computing, or SC for short), etc. Loosely speaking, HPC is both the scientific and technical fields of study of “Super-Computers” (SCs).

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Parallel Linear Algebraalgorithms, often by using a dedicated software library that hides the tedious nitty-gritty details of the optimized implementations of the fundamental algorithms (mainly matrix arithmetic operations and factorization primitives).

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雄辩

Parallel SortingThere exist plenty sequential algorithms to sort n numbers that achieve the optimal time complexity of .. We can sort on parallel architectures with distributed memory by considering the granularity of local sorting.

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晚间

Donald P. Doolittleresults with corresponding native forest soil. The analysis of interactions of chemical and biochemical compounds in soils was based on soil samples taken from the long-term field experiment (crop rotation, as cultivated ecosystem, with application of mineral and organic fertilizers: potato, spring