By (auth.), David Padua (eds.)
Containing over three hundred entries in an A-Z structure, the Encyclopedia of Parallel Computing presents effortless, intuitive entry to suitable details for execs and researchers looking entry to any point in the wide box of parallel computing. issues for this accomplished reference have been chosen, written, and peer-reviewed through a world pool of special researchers within the box. The Encyclopedia is wide in scope, protecting laptop association, programming languages, algorithms, and functions. inside of each one sector, thoughts, designs, and particular implementations are offered. The highly-structured essays during this paintings include synonyms, a definition and dialogue of the subject, bibliographies, and hyperlinks to comparable literature. huge cross-references to different entries in the Encyclopedia help effective, common searchers for fast entry to valuable information.
Key options offered within the Encyclopedia of Parallel Computing comprise; legislation and metrics; particular numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; purposes; sequential consistency and cache coherency; computing device periods resembling clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; particular machines akin to Cray supercomputers, IBM’s mobile processor and Intel’s multicore machines; race detection and automobile parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and working structures.
issues coated: Speedup, potency, Isoefficiency, Redundancy, Amdahls legislations, computing device structure strategies, Parallel computing device Designs, Benmarks, Parallel Programming suggestions & layout, Algorithms, Parallel applications.
This authoritative reference might be released in codecs: print and on-line. the web variation positive aspects links to cross-references and to extra major learn.
comparable topics: supercomputing, high-performance computing, disbursed computing
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Containing over three hundred entries in an A-Z layout, the Encyclopedia of Parallel Computing offers effortless, intuitive entry to correct info for pros and researchers looking entry to any point in the large box of parallel computing. issues for this entire reference have been chosen, written, and peer-reviewed by way of a global pool of individual researchers within the box.
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Devarakonda and Mukherjee  consider various implementation issues involved in exploiting cache affinity to improve performance, arguing that affinity is most effective when implemented through a thread package which supports the multiplexing of user-level threads on operating system kernel-level threads. The results of this study show that a simple scheduling strategy can yield significant performance improvements under an appropriate application workload and a proper implementation approach, which can once again be explained by the factors identified above.
IEEE Computer Society, Washington, DC, pp . Yonezawa A (ed) () ABCL: an object-oriented concurrent system. MIT Press, Cambridge, MA Aﬃnity Scheduling Mark S. Squillante IBM, Yorktown Heights, NY, USA Synonyms Cache affinity scheduling scheduling; Resource affinity Deﬁnition Affinity scheduling is the allocation, or scheduling, of computing tasks on the computing nodes where they will be executed more efficiently. Such affinity of a task for a node can be based on any aspects of the computing node or computing task that make execution A more efficient, and it is most often related to different speeds or overheads associated with the resources of the computing node that are required by the computing task.
In Erlang, contracts are enforced at runtime, while in Singularity a more restrictive notion of typed contracts make it feasible to check the constraints at compile time. , Charm++ for scientific applications on supercomputers , Erlang for distributed applications ). In recent years, interest in actor-based languages has been growing, both among researchers and among practitioners. This interest is triggered by emerging programming platforms such as multicore computers and cloud computers.
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