In the release notes for 378.66 graphics drivers for Windows (February 2017), NVIDIA officially spoke about supporting OpenCL 2.0 for the first time. Unfortunately, this is partial support only and, as NVIDIA said, these new [OpenCL 2.0] features are available for evaluation purposes only. We did our own tests on a GTX 1080 on Windows and could confirm that

In the release notes for NVIDIA 378.66 graphics drivers for Windows NVIDIA mentions support for OpenCL 2.0. This has been the first time in 3 years since OpenCL 2.0 has been launched, that they publicly speak about supporting it. Several 2.0 functions had silently been added to the driver on customer request. However, these additions never

In the past six years we have helped out various customers solve their software performance problems. While each project has been very different, there have been 8 reasons to hire us as performance engineers. These can be categorised in three groups: Let’s go into each of these.

PRACE is organising two summer activities for Master+PhD students. Both activities are expense-paid programmes and will allow participants to travel and stay at a hosting location and learn about HPC: The main objective of this programme is to enable HiPEAC member companies in Europe to have access to highly skilled and exceptionally motivated research talent. In

Q: Say a GPU has 1000 cores, how many threads can efficiently run on a GPU? A: at a minimum around 4 billion can be scheduled, 10’s of thousands can run simultaneously. If you are used to work with CPUs, you might have expected 1000. Or 2000 with hyper-threading. Handling so many more threads than the number of available

We have several wishes for 2017 and two of them are to make code for the open source community. Luckily HiPEAC is interested in more collaboration between academia and industry and therefore funds PhD internships. There are 81 industrial PhD internships available and two are at StreamHPC. What is this industrial PhD internship, you may

The fifth International Workshop on OpenCL (IWOCL) will be held on 16-18 May 2017 in Toronto, Canada. The event kicks-off with a full-day Advanced Hands-On OpenCL tutorial which is followed by two-days of conference: keynotes, academic papers, technical presentations, tutorials, poster sessions and table-top demonstrations. IWOCL 2017 Call for Submission Now Open – Submit your abstract

In June we wrote on “AMD is back!“, where this is one of the blog posts with more details in a specific direction. This post is about AMD specifically targeting machine learning with the MI ( = Machine Intelligence) range of hardware and software. With all the news around AMD’s new processors Ryzen (CPU) and VEGA (GPU),

At SC16 there was a discussion between programming language standards for heterogeneous hardware, organised by Khronos. See here for the setup of the session. It was expected to be a heated discussion, but in the end it was a good conversation with lost of learning. The main message from each language seems to be: “Yes, we’re working on that