By Ryoji Tsuchiyam, Takashi Nakamura

The e-book is meant for these drawn to the hot framework often called OpenCL. whereas we
do now not imagine any preexisting wisdom of parallel programming, on account that we introduce so much of
what you want to understand in bankruptcy 1, we do notwithstanding imagine that the reader has a very good take hold of of
the interval. people who are already specialists in parallel programming can commence in bankruptcy 2
and dive instantly into the hot international of OpenCL.

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Additional resources for The OpenCL Programming Book (OpenCL 1.0)

Example text

The sections to follow will walk through each code. 1. The OpenCL grammar will be explained in detail in Chapter 5, but for the time being, you can think of it as being the same as the standard C language. 1: Declaring a function to be executed on the kernel 001: __kernel void hello(__global char * string) The only differences with standard C are the following. • The function specifier "__kernel" is used when declaring the "hello" function • The address specifier "__global" is used to define the function's string argument 59 The OpenCL Programming Book The "__kernel" specifies the function to be executed on the device.

If the specified device does not exist, then ret_num_devices will be set to 0. Create Context After getting the device handle, the next step is to create an OpenCL Context. 4. 016: cl_context context = NULL; ... 048: context = clCreateContext(NULL, 1, &device_id, NULL, NULL, &ret); An OpenCL context is created with one or more devices, using the clCreateContext() function in line 48. The 2nd argument specifies the number of devices to use. The 3rd argument specifies the list of device handlers.

This may seem counter-intuitive, since in order to maximize performance, it is necessary to learn the hardware-dependent methods. However, it should be kept in mind that if some code is written in OpenCL, it should work in any environment. Using the hardware-dependent coding method, the main steps taken is coding, debugging, and then tuning. If the code is already debugged and ready in OpenCL, the developer can start directly from the tuning step. Anyone who has developed code in these types of environment should see the benefit in this, since this would reduce the chance of wasting time on bugs that may arise from not having a full understanding of the hardware.

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