Apple announced several updates to the Mac lineup earlier this month at WWDC. Geekbench 4, which includes a new GPU Compute Benchmark that measures the performance of GPUs at performing compute tasks, shows that GPU performance with OpenCL has improved considerably with an increase of up to 80% when compared to the equivalent 2015 model. If you’re interested in how your computer compares you can download Geekbench 4. Find the complete benchmark results on the Geekbench website.
Duskborn Labs has just released part II of their OpenCL to Vulkan porting guide. Part I covers cl_platform_id -> VkInstance, cl_device_id -> VkPhysicalDevice and cl_context -> VkDevice. Part II covers porting from OpenCL’s cl_command_queue to Vulkan’s VkQueue.
Futuremark is launching PCMark 10, their seventh major update to the PCMark series of benchmarks first launched in 2002. PCMark 10 builds upon the PCMark 8 platform, adds a few workloads and streamlines the rest in order to present a vendor-neutral, complete, and easy-to-use benchmark for home and office environments. Anandtech has a nice review showing a little bit of OpenGL and OpenCL usage.
Codeplay has added OpenCL hardware support to Eigen, to offer a wider range of hardware to developers via the SYCL open standard. In this post, Codeplay talks about how they implemented the SYCL backend for Eigen to enable support for OpenCL hardware.
PC Perspective had the opportunity to have a phone interview with Neil Trevett, president of the Khronos Group and chairman of the OpenCL working group, and Tom Olson, chairman of the Vulkan working group. While OpenCL is planning to merge into the Vulkan API, the Khronos Group wants to make it clear that “all of the merging” is coming from the OpenCL working group. The Vulkan API roadmap is not affected by this decision. Of course, the Vulkan working group will be able to take advantage of technologies that are dropping into their lap, but those discussions have not even begun yet. Read the entire post to learn more about the exciting future of OpenCL and Vulkan.
The Intel Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL inference on Intel® Processor Graphics (Intel® HD Graphics and Intel® Iris® and Intel® Iris® Pro). clDNN includes highly optimized building blocks to implement convolutional neural networks (CNN) with C and C++ interfaces. This library is also used in the Deep Learning Toolkit found in the Intel Computer Vision SDK Beta. The clDNN library can be accessed at github. To learn more on how to use clDNN see whitepaper
The Generic Graphics Library (GEGL) is best known as the backend for image processing software Gimp. GEGL is a graph based image processing framework that allows users to chain together image processing operations represented by nodes into a graph. It provides operations for loading and storing images, adjusting colors, filtering in different ways, transforming and compositing images. GEGL-OpenCL is an educational initiative that aims to get more developers to study and use OpenCL in their projects.
The Khronos Group announces the immediate availability of the finalized OpenCL™ 2.2 specification, incorporating industry feedback received from developers during the provisional specification review period. In addition to releasing the specification in final form, Khronos has, for the first time, released the full source of the specifications and conformance tests for OpenCL 2.2 onto GitHub to enable deeper community engagement. The conformance tests for OpenCL versions 1.2, 2.0 and 2.1 have also been released on GitHub with more open-source releases to follow. The Windsor Testing Framework, also released today, enables developers to quickly install and configure the OpenCL Conformance Test Suite on their own systems. Developers who know OpenCL C and plan to port their kernels to OpenCL C++, the OpenCL C to OpenCL C++ Porting Guidelines have been released.
Imagination Technologies announces the first GPU IP core based on its new PowerVR Furian architecture, the Series8XT GT8525. Says Tatiana Solokhina, CTO, RnD Center ELVEES, a Khronos member: “As a provider of SoCs for a wide range of global video analytics applications, we require a GPU that offers the best compute performance in a power constrained footprint. The new PowerVR Furian 8XT family from Imagination provides us an industry-leading GPU with new ALU for increased performance density and efficiency. In addition, support for standard compute APIs such as OpenVX enables easy implementation of real world vision processing applications.” Furian is designed to address the increasing compute requirements across multiple applications and market segments with efficient use of compute APIs including OpenCL 2.0, Vulkan 1.0 and OpenVX 1.1.