Beowulf Cluster Computing with Linux (Scientific and by Thomas Sterling

By Thomas Sterling

Use of Beowulf clusters (collections of off-the-shelf commodity pcs programmed to behave in live performance, leading to supercomputer functionality at a fragment of the fee) has unfold all over within the computational technological know-how neighborhood. Many program teams are assembling and working their very own "private supercomputers" instead of counting on centralized computing facilities. Such clusters are utilized in weather modeling, computational biology, astrophysics, and fabrics technology, in addition to non-traditional parts equivalent to monetary modeling and leisure. a lot of this new attractiveness will be attributed to the expansion of the open-source circulation.

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Depending on their intended user and application base, clusters can be assembled in a wide array of configurations, with very few constraints imposed by commercial vendors. For those systems configured at the final site by the intended administrators and users, a wide choice of components and structures is available, making possible a broad range of systems. Where clusters are to be dedicated to specific workloads or applications, the system structure can be optimized for the required capabilities and capacities that best suit the nature of the problem being computed.

Early commercial applications of clusters employed paired loosely coupled computers, with one computer performing user jobs while the other managed various input/output devices. Breakthroughs in enabling technologies occurred in the late 1970s, both in hardware and software, which were to have significant long-term effects on future cluster computing. The first generations of microprocessors were designed with the initial development of VLSI (very large scale integration) technology, and by the end of the decade the first workstations and personal computers were being marketed.

Whichever works best for you, we hope you find it the single most valuable book on your shelf for making clusters and for making clusters work for you. 7KLVSDJHLQWHQWLRQDOO\OHIW blank I ENABLING TECHNOLOGIES 7KLVSDJHLQWHQWLRQDOO\OHIW blank 2 An Overview of Cluster Computing Thomas Sterling Commodity cluster systems offer an alternative to the technical and commercial computing market for scalable computing systems for medium- and high-end computing capability. For many applications they replace previous-generation monolithic vector supercomputers and MPPs.

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