I have two sets of data, A and B. Both essentially consist of points in 3D space, with A >> B. For the sake of argument, let's say A = 10,000 points and B = 600 points. I'm currently using OpenCL to ...

Heterogeneous computing refers to a growing class of systems in which an application is executed on a mixture of dissimilar processor and accelerator devices to maximize throughput. The execution of a ...

Earlier this past month, the final version of the Apple-backed OpenCL specification was delivered to standards group participants for vetting, and the final OpenCL 1.0 specification has now released.

To help accelerate graphics post-processing, neural shaders, physics simulations, and machine learning inference on the GPU, DDK 25.2 implements support for VK_KHR_cooperative_matrix. This extension ...

A jump from 3063 to 4061 in OpenCL scores without a single GPU driver revision that is the kind of anomaly that catches the attention of performance-oriented Pixel owners. The December rollout of ...

OpenCL is a computational framework designed to take advantage of multicore platforms. Unsurprisingly, there are a few myths surrounding it. This file type includes high resolution graphics and ...

First introduced in late 2023, AMD’s Radeon Instinct MI300X accelerator has made an impressive debut on Geekbench's OpenCL benchmark. The GPU took the top spot, thrashing all rivals, including ...