Technical

AMD open sourced the OpenCL driver stack for ROCm in the beginning of May. With this they kept their promise to open source (almost) everything. The hcc compiler was open sourced earlier, just like the kernel-driver and several other parts. Why this is a big thing? There are indeed several open source OpenCL implementations, but

Last week AMD released ports of Caffe, Torch and (work-in-progress) MXnet, so these frameworks now work on AMD GPUs. With the Radeon MI6, MI8 MI25 (25 TFLOPS half precision) to be released soonish, it’s ofcourse simply needed to have software run on these high end GPUs. The ports have been announced in December. You see

The Khronos Group is the organization behind APIs like OpenGL, Vulkan and OpenCL. Over one hundred companies are a member and decide together what your next year phone, camera, computer or media device will be capable of. We work most with OpenCL, but you probably noticed we work with OpenGL, Vulkan and SPIR too. Currently

ROCm is AMD’s open source Linux-driver that brings compute to HSA-hardware. It does not provide graphics and therefore focuses on monitor-less applications like machine learning, math, media processing, machine vision, large scale simulations and more. For those who do not know HSA, the Heterogeneous Software Architecture defines hardware and software such that different processor types

During IWOCL a workshop takes place that discusses the opportunities that C++ brings to OpenCL-enabled processors. A well-know example is SYCL, but various other approaches are talked about. The Distributed & Heterogeneous Programming in C/C++ Workshop just released their program: HiHAT: A New Way Forward for Hierarchical Heterogeneous Asynchronous Tasking. SYCL C++17 and OpenCL interoperability

What brings 2017 in technology? Gartner gives their vision with the start of each year to give insight in which technologies to invest in. When looking through them, the most important enabling technologies are the GPU and Internet-of-Things (IoT) – see the image below. Whereas the last 4 are IoT based, the first 4 would

OpenCL 2.0 added several new built-in functions that operate on a work-group level. These include functions that work within sub-groups (also known as warps or wavefronts). The work-group functions perform basic parallel patterns for whole work-groups or sub-groups. The most important ones are reduce and scan operations. Those patterns have been used in many OpenCL

The first batch is in and you can win one from the second batch! We’re sending a mug to a random person who subscribes to out newsletter before the end of 17 April 2017 (Central European Time). Yes, that’s a Monday. Two winners We’ll pick two winners: one from academia and one from industry. If