Read e-book online OpenCL Parallel Programming Development Cookbook PDF

By Raymond Tay

ISBN-10: 1849694524

ISBN-13: 9781849694520

OpenCL (Open Computing Language) is the 1st royalty-free average for move platform, parallel programming of contemporary processors present in own pcs, servers, mobiles, and embedded units. OpenCL vastly improves pace and responsiveness for a large spectrum of functions in different industry different types, from gaming and leisure to medical and scientific software program. OpenCL has proved itself to be flexible in that it now runs on not just working structures like home windows and Linux powered by means of Intel and AMD processors, but additionally on low strength chips like ARM, and it has additionally been followed through processor brands like ARM Corp, Vivante, and Altera, between others.

OpenCL Parallel Programming improvement Cookbook was once designed to be functional in order that we in achieving an excellent stability among idea and alertness. studying to application in a parallel approach is comparatively effortless, yet with a purpose to make the most of the entire assets on hand to you successfully is kind of diversified. try to be proven not just program, but additionally the speculation at the back of it.

This e-book is approximately in elements, the place the 1st half is the basics of OpenCL parallel improvement and the second one half is many of the algorithms we are going to discover with you. every one half is jam-packed with many code samples and illustrations to illustrate numerous strategies. the 1st half is vital for a newbie not to in simple terms application in parallel, but in addition to imagine in parallel and develop into outfitted with the psychological version with which to take on parallel programming. the second one half comprises seven various algorithms that the writer has pointed out; you'll research a variety of parallel programming innovations that specialists have utilized in the earlier 60 years which are acceptable to OpenCL.

This ebook will show the way you imagine in parallel via illustrating and demonstrating programming strategies like information partitioning, thread coarsening, sign up tiling, information pre-fetching, and set of rules transformation. those strategies are verified within the seven algorithms you’ll be proven, from photo processing and fixing sparse linear platforms to in-memory sorting.
OpenCL Parallel Programming improvement Cookbook combines recipes, illustrations, code, and reasons to permit you to benefit the necessities of parallel programming in OpenCL, and the writer has further in adequate math in order that the readers comprehend the incentive and will additionally lay the root upon which they'll start their very own exploration.

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Check passed! How it works… The application created a million of the UserData objects on the host. Refer to the following code snippet: /* Prepare an array of UserData via dynamic memory allocation */ UserData* ud_in = (UserData*) malloc( sizeof(UserData) * DATA_SIZE); // input to device UserData* ud_out = (UserData*) malloc( sizeof(UserData) * DATA_SIZE); // output from device for( int i = 0; i < DATA_SIZE; ++i) { (ud_in + i)->x = i; (ud_in + i)->y = i; (ud_in + i)->z = i; (ud_in + i)->w = 3 * i; } 47 Understanding OpenCL Data Transfer and Partitioning The application then sends it to the device for computation after the program and kernel objects have been initialized, and we assign the recently created UDObj memory object to the kernel as its argument.

Let's move on to understanding the OpenCL contexts. Querying OpenCL contexts An OpenCL context is created with one or more devices. Contexts are used by the OpenCL runtime for managing objects such as command queues (the object that allows you to send commands to the device), memory, program, and kernel objects, and for executing kernels on one or more devices specified in the context. In more detail, OpenCL contexts can be created by associating a collection of devices that are available for the platform via clCreateContext or by associating it with a particular type of device, for example, CPU, GPUs, and so on, via clCreateContextFromType.

Go through the following for more information. There are, in general, three groups of options available when you wish to build the OpenCL program: options to control behavior in math, optimizations, and miscellaneous. The following table presents the math options available: -cl-singleprecisionconstant This option treats double precision floating point as a single precision constant. -cl-denorms-arezero This option controls how single and double precision denormalized numbers are handled. The compiler can choose to flush these numbers to zero.

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OpenCL Parallel Programming Development Cookbook by Raymond Tay

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