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Grid computing and NASA Advanced Supercomputing Division

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Grid computing and NASA Advanced Supercomputing Division

Grid computing vs. NASA Advanced Supercomputing Division

Grid computing is the collection of computer resources from multiple locations to reach a common goal. The NASA Advanced Supercomputing (NAS) Division is located at NASA Ames Research Center, Moffett Field in the heart of Silicon Valley in Mountain View, California.

Similarities between Grid computing and NASA Advanced Supercomputing Division

Grid computing and NASA Advanced Supercomputing Division have 4 things in common (in Unionpedia): FLOPS, Portable Batch System, Silicon Graphics, Supercomputer.

FLOPS

In computing, floating point operations per second (FLOPS, flops or flop/s) is a measure of computer performance, useful in fields of scientific computations that require floating-point calculations.

FLOPS and Grid computing · FLOPS and NASA Advanced Supercomputing Division · See more »

Portable Batch System

Portable Batch System (or simply PBS) is the name of computer software that performs job scheduling.

Grid computing and Portable Batch System · NASA Advanced Supercomputing Division and Portable Batch System · See more »

Silicon Graphics

Silicon Graphics, Inc. (later rebranded SGI, historically known as Silicon Graphics Computer Systems or SGCS) was an American high-performance computing manufacturer, producing computer hardware and software.

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Supercomputer

A supercomputer is a computer with a high level of performance compared to a general-purpose computer.

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The list above answers the following questions

Grid computing and NASA Advanced Supercomputing Division Comparison

Grid computing has 138 relations, while NASA Advanced Supercomputing Division has 65. As they have in common 4, the Jaccard index is 1.97% = 4 / (138 + 65).

References

This article shows the relationship between Grid computing and NASA Advanced Supercomputing Division. To access each article from which the information was extracted, please visit:

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