The main strength of Artificial Intelligence is it’s easy to understand by anybody. This results in new applications in all industries at a rapid pace. Are there new possibilities generated or have the possibilities always been possible? The answer is both. In case of totally unknown input, AI is better capable of adapting. A clearly
When to use Artificial Intelligence and when to use Algorithms? Read More »
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
Double the performance on AMD Catalyst by tweaking subgroup operations Read More »
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
Win an OpenCL mug! Read More »
One of these moments when you find out that the company is not seen as I want it to be seen. Compared to generic software engineering companies, we have the advantage of creating software that is capable of processing more data. For years we have promoted this unique advantage, for which we use OpenCL, CUDA,
Customer: “So you also do full projects?” Read More »
Would you like to run CUDA-kernels on the OpenCL framework? Or Python or Rust? SPIR-V is the answer! Where source-to-source translations had several limitations, SPIR-V 1.1 even supports higher level languages like C++.
Should SPIR-V be supported in CUDA? Read More »
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
NVIDIA beta-support for OpenCL 2.0 works on Linux too Read More »
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, but these additions never
NVIDIA enables OpenCL 2.0 beta-support Read More »
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
The 8 reasons why our customers had their code written or accelerated by us Read More »
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
Master+PhD students, applications for two PRACE summer activities open now Read More »
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
How many threads can run on a GPU? Read More »