All technical blog posts written by people of the Stream HPC team.
Why you should just delve into porting difficult puzzles using the GPU, to learn GPGPU-languages like CUDA, HIP, SYCL, Metal or OpenCL. And if you did not pick one, why not N-Queens? N-Queens is a truly fun puzzle to work on, and I am looking forward to learning about better approaches via the comments. We […]
N-Queens project from over 10 years ago Read More »
Written by Máté Ferenc Nagy-Egri and Gergely Mészáros Disclaimer: if you’ve stumbled across this page in search of a fix for the ROCm SDK’s CMake HIP language support on Windows and care only about the fix, please skip to the end of this post to download the patches. If you wish to learn some things
How to get full CMake support for AMD HIP SDK on Windows – including patches Read More »
Speeding up finance algorithms for GPUs
Improving FinanceBench for GPUs Part II – low hanging fruit Read More »
How fast is your software? The simpler the software setup, the easier to answer this question. The more complex the software, the more the answer will “it depends”. But just peek at F1-racing – the answer will depend on the driver and the track. This article focuses on the foundations of solid benchmarking, so it
The Art of Benchmarking Read More »
We are a problem solving company first, specialised in HPC – building software close to the processor. The more projects we finish, the more it’s clear that without our problem solving skills, we could not tackle the complexity of a GPU and CPU-clusters. While I normally shield off how we do and how we continuously
Problem solving tactic: making black boxes smaller Read More »
If you’re into computational finance, you might have heard of FinanceBench. It’s a benchmark developed at the University of Deleware and is aimed at those who work with financial code to see how certain code paths can be targeted for accelerators. It utilizes the original QuantLib software framework and samples to port four existing applications for quantitative
Improving FinanceBench Read More »
Update: due to Corona, the Amsterdam training has been cancelled. We’ll offer the training online on dates that better suit the participants. As it has been very busy here, we have not done public trainings for a long time. This year we’re going to train future GPU-developers again – online. For now it’s one date,
Updated: OpenCL and CUDA programming training – now online Read More »
Via our Twitter channel we have various polls. Not always have we shared the full background of these polls, so we’ve taken the polls of the past half year and put them here. The first half of the year there were no polls, in case you wanted to know. As inclusive polls are not focused
The 12 latest Twitter Poll Results of 2018 Read More »
This series “Basic concepts” is based on GPGPU-questions we get via email more than once, or when the question is not clearly explained in the books. For one it is obvious, for the other just what they’re missing. They say that learning a new technique is best done by playing around with working code and
OpenCL Basics: Running multiple kernels in OpenCL Read More »
After the last post on Excel (“Accelerating an Excel Sheet with OpenCL“), there have been various request and discussions how we do “the miracle”. Short story: we only apply proper engineering tactics. Below I’ll explain how you can also speed up Excel and when you actually have to call us (last step). A computer can
How to speed up Excel in 6 steps Read More »