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Download High Performance Parallelism Pearls: Multicore and Many-core by James Reinders, Jim Jeffers PDF

By James Reinders, Jim Jeffers

Excessive functionality Parallelism Pearls quantity 2 bargains one other set of examples that exhibit the way to leverage parallelism. just like quantity 1, the ideas incorporated right here clarify the right way to use processors and coprocessors with a similar programming – illustrating the simplest how one can mix Xeon Phi coprocessors with Xeon and different multicore processors. The e-book comprises examples of winning programming efforts, drawn from throughout industries and domain names equivalent to biomed, genetics, finance, production, imaging, and extra. every one bankruptcy during this edited paintings contains particular causes of the programming strategies used, whereas exhibiting excessive functionality effects on either Intel Xeon Phi coprocessors and multicore processors. examine from dozens of recent examples and case stories illustrating "success stories" demonstrating not only the good points of Xeon-powered structures, but in addition how you can leverage parallelism throughout those heterogeneous systems.

Promotes write-once, run-anywhere coding, displaying tips to code for prime functionality on multicore processors and Xeon Phi
Examples from a number of vertical domain names illustrating real-world use of Xeon Phi coprocessors
Source code on hand for obtain to facilitate additional exploration

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Extra info for High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches, Volume 2

Example text

X :::} 12 :Int = pair In TL it is possible to include functions as fields in tuples. Combining this concept with recursive bindings makes it possible to capture the concept of methods known from object-oriented programming. 1 and in [14]. 2 Higher-Order Persistent Polymorphic Programming in Tycoon 25 Variant Types Tuples with variants resemble variant records in Pascal and in Modula-2. Like tuples, tuples with variants represent ordered sequences of signatures. Let Address = Tuple case national with street, city :String zip :Int case international with street, city, state :String zip :String end The two variants national and international in the example have a common prefix.

Let a :Int = 3 let b :Bool = true Recursive bindings are used for the construction of recursive and cyclic data structures. In TL, pointer types are not necessary for this purpose. Recursive bindings are introduced by the keyword rec. 4 since they have to be used in combination with functions and recursive data types. The problem of uninitialized identifiers is avoided completely in TL, since identiflers can only be introduced in bindings and, furthermore, recursive bindings are subject to static constraints that avoid access to uniniti'1lized variables [141.

The different realisation alternatives are called • functional encapsulation, • imperative encapsulation, and • method-based encapsulation. A generic stack implementation is used to compare the three different realisation alternatives. Each of them provides a type operator that maps the element type of the stack to a tuple type. In the first two cases this tuple type aggregates the opaque stack type T, the common stack operations empty, push, pop, top, and a parameterless function new for the creation of new empty stacks.

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