OpenCL Programming by Example by Ravishekhar Banger, Koushik Bhattacharyya

By Ravishekhar Banger, Koushik Bhattacharyya

Узнать обо всех OpenCL Архитектура и основные API.
Узнать OpenCL программирования с простых примеров из Обработки Изображений, Распознавания образов и Статистики с подробное описание кода.
Рассмотрим некоторые аспекты оптимизации, методы, примеры кода, чтобы вести вас через процесс
Понять, как использовать OpenCL в вашу проблему домены,
Исследования в сфере параллельного программирования имеет основной темой десятилетия, и будут оставаться таковыми на протяжении многих десятилетий. Многие параллельного программирования, стандарты и рамки существуют, но учитывает только один тип аппаратной архитектуры. Сегодня вычислительные платформы поставляются со множеством разнородных устройств. OpenCL обеспечивает безвозмездное стандартные программы для разнородного оборудования.
Начиная с обсуждения OpenCL модели, эта книга исследует их архитектурный облик, программирование интерфейсов и примитивы. Он медленно проясняют процесс определения данных и параллелизм задач в различных алгоритмов.
«OpenCL Программирования на Примере» объясняет OpenCL в самой простой язык, который новички найдут в нем легко разобраться. Разработчики и программисты из разных доменов, кто хочет добиться ускорения для своих приложений, найдут в этой книге очень полезно.

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Extra resources for OpenCL Programming by Example

Example text

Take a look at the following diagram of a 2D NDRange. The work groups provide a coarse-grained decomposition of the index space. Each work group is assigned a unique ID with the same number of dimensions as the global index space used to define the work items. Every work item in a work group is assigned a unique local ID, so that every work item can be uniquely addressed during the kernel execution within a work group scope. Similarly work items are also assigned a unique global ID in the NDRange and can be uniquely addressed during the kernel execution.

This library contains the mechanism to select the appropriate vendor-specific runtimes during runtime. The application developer makes this selection. Let's explain this with an example installation of an AMD and Intel OpenCL SDK. In the following screenshot of the Windows Registry Editor you can see two runtime DLLs. dll library, based on the application developers selection. icd), loads the appropriate library, and assigns the function pointers to the loaded library. so as the wrapper around different OpenCL vendor libraries.

One needs to make sure that the data the work item is accessing is always correct. This makes the application developers task a little complicated to write applications with relaxed consistency, and hence explicit synchronization mechanisms are required. The x86/x86_64 CPU cache coherent architecture is different from the OpenCL relaxed memory architecture. In cache coherent systems, data that resides in the local processor caches is guaranteed to be consistent across processors. The programmer need not worry about the data partitioning in cache coherent architectures.

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