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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...
Authored by Last updated on 05/31/2019 - 14:20
Article

GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions

Introduction A Brief History of Quicksort
Authored by Robert Ioffe (Intel) Last updated on 11/19/2019 - 13:39
Article

Using 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...
Authored by Last updated on 11/19/2019 - 14:05
Article

Sierpiński Carpet in OpenCL* 2.0

We demonstrate how to create a Sierpinski Carpet in OpenCL* 2.0

Authored by Robert Ioffe (Intel) Last updated on 11/20/2019 - 07:28
Article

HDR Rendering with God Rays Using OpenCL™ Technology

This sample demonstrates a CPU-optimized implementation of the God Rays effect, showing how to: Implement calculation kernels using the OpenCL™ technology C99 Parallelize the kernels by running several work-groups in parallel Organize data exchange between the host and the OpenCL device
Authored by Last updated on 11/20/2019 - 08:44