Phoronix has published benchmarks of 13 Kepler/Maxwell/Pascal NVIDIA GeForce graphics cards when testing Blender 2.78's OpenCL renderer. Unfortunately, no AMD OpenCL benchmarks for Blender yet -- the current open-source stack doesn't work until ROCm OpenCL support comes into play and the AMDGPU-PRO stack wasn't working for Blender OpenCL but was falling back to CPU rendering. Read the complete article.
The Mali Graphics Debugger allows developers to trace Vulkan (1.0), OpenGL ES (1.x, 2.x, and 3.x), EGL (1.4), and OpenCL (1.x) API calls in their application and understand frame-by-frame the effect on the application to help identify possible issues.
Codeplay helping ensure software developers are correctly equipped to host their software applications on RISC-V. Codeplay is working extensively with machine learning solutions such as Google with TensorFlow to bridge the gap on RISC-V with OpenCL and SYCL open standards.
S2C Inc. has announced the development of a new family of Arria 10 Prodigy FPGA Prototyping Logic Modules based on Altera's Arria 10 1150GX FPGA. The Arria 10 Prodigy Logic Module includes compatibility with Altera's Software Development Kit (SDK) for OpenCL allowing easy implementation for HPC applications.
Stream Computing is offering OpenCL training in Amsterdam in January 2017. For those wanting to learn solid GPU programming. This is a public training with trainees from various companies – get in contact if you want to learn more about our in-company trainings. For pre-requisites and pricing, please see the Stream Computing website.
IWOCL 2017 Call for Submissions now open. Only 73 days left to submit! Formal proceedings of the conference will be published in the ACM International Conference Series (ACM ICPS). Follow the Read More link for details of the selection criteria and how to submit your abstract for consideration via EasyChair.
Inspur and Khronos Member Intel announced partnership on an R&D project -- the Field Programmable Gate Array (FPGA) accelerator card F10A, at the SC16. This is a high density and high performance FPGA card based on OpenCL.
Using OpenCL, programmers can utilize FPGAs with C, or other familiar high- level programming languages, instead of hardware-specific language. At SC16, one of the major issues for discussion is optimizing OpenCL kernels for high-performance computing.
Today sees the emergence of ROCm (Radeon Open Compute Platform) 1.3, which brings the official release of the LLVM native compiler and support for AMD’s current Polaris family of 14nm GPUs (Radeon RX 480, RX 470, RX 460). Also hopping aboard is support for OpenCL 1.2+. More specifically, ROCm 1.3 support the OpenCL 1.2 runtime along with the OpenCL 2.0 kernel language.