By Matthew Scarpino
OpenCL in motion blends the idea of parallel computing with the sensible fact of creating high-performance functions utilizing OpenCL. It first courses you thru the elemental info constructions in an intuitive demeanour. Then, it explains suggestions for high-speed sorting, picture processing, matrix operations, and speedy Fourier rework. The booklet concludes with a deep examine the all-important topic of portraits acceleration. a variety of not easy examples provide you with other ways to test with operating code.
A history in C or C++ is useful, yet no earlier publicity to OpenCL is needed.
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Extra info for OpenCL in Action
But unlike other data structures, when a vector is operated upon, each of its values is operated upon at the same time. info Summary 15 programming means that one application controls processing on multiple devices at once. OpenCL can send different tasks to different devices, and this is called task-parallel programming. If used effectively, vector processing and task-parallel programming provide dramatic improvements in computational performance over that of scalar, singleprocessor systems. OpenCL code consists of two parts: code that runs on the host and code that runs on one or more devices.
If you’ve heard the terms superscalar processor or vector processor, this is the type of device being referred to. Nearly all modern processors are capable of processing vectors, but ANSI C/C++ doesn’t define any basic vector data types. This may seem odd, but there’s a clear problem: vector instructions are usually vendorspecific. Intel processors use SSE extensions, Nvidia devices require PTX instructions, and IBM devices rely on AltiVec instructions to process vectors. These instruction sets have nothing in common.
Info 33 Storing device code in programs The following two lines of code show how these options are used. 1 -cl-mad-enable -Werror"; clBuildProgram(program, 1, &device, options, NULL, NULL); If clBuildProgram fails because of a compile error, the only indication you’ll receive is the integer error code. This is helpful, but it doesn’t tell you why the compilation failed. If you want details about what happened during the build, you’ll need to access the compiler’s build log. The following discussion explains how to access this log and other program-related information.