Technical

All technical blog posts written by people of the Stream HPC team.

NVIDIA beta-support for OpenCL 2.0 works on Linux too

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

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The 8 reasons why our customers had their code written or accelerated by us

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: Reduce processing time Meeting timing requirements Increasing user efficiency Increasing the responsiveness Reducing latency

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Master+PhD students, applications for two PRACE summer activities open now

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 2017 International Summer School on HPC Challenges in Computational Sciences The PRACE Summer of HPC 2017 programme The main objective of this programme is to

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IWOCL 2017 Toronto call for talks and posters is open

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

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AMD gets into Machine Intelligence with “MI” range of hardware and software

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),

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