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GPU-Quicksort в OpenCL 2.0: вложенные параллельные вычисления и сканирование групп обработки
Введение Краткий курс истории алгоритма быстрой сортировки使用 OpenCL™ 2.0 读写图片
While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions
Introduction A Brief History of QuicksortUsing OpenCL™ 2.0 Read-Write Images
While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...The Generic Address Space in OpenCL™ 2.0
Introduction What is the Generic Address Space?Sierpiński Carpet in OpenCL* 2.0
We demonstrate how to create a Sierpinski Carpet in OpenCL* 2.0
