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 (and thus difficult to answer), most polls are incomplete by design. Still insights can be given. Or comments given.
Below’s polls have given us insight and we hope they give you insights too how our industry is developing. It’s sorted on date from oldest first.
It was very interesting that the percentage of votes per choice did not change much after 30 votes. Even when it was retweeted by a large account, opinions had the same distribution.
This series “
GPUs have been our mysterious friends and known enemies for years, as they let us run code in expected and unexpected ways. GPUs have solved problems for many of our customers. GPUs have such a high rate of evolvement, that they’ll remain important for the years to come.
Our managing director, 
As of this month Stream exists 8 years. 8 full years of helping our customers with fast software.In Chinese numerology 8 is a very lucky number, and we notice that.
Ever saw a claim on a paper you disagreed with or got triggered by, and then wanted to reproduce the experiment? Good luck finding the code and the data used in the experiments.
When CUDA kept having a dominance over OpenCL, AMD introduced HIP – a programming language that closely resembles CUDA. Now it doesn’t take months to port code to AMD hardware, but more and more CUDA-software converts to HIP without problems. The real large and complex code-bases only take a few weeks max, where we found that solved problems also made the CUDA-code run faster.
It takes quite some effort to program FPGAs using VHDL or Verilog. Since several years Intel/Altera has OpenCL-drivers, with the goal to reduce this effort. OpenCL-on-FPGAs reduced the required effort to a quarter of the time, while also making it easier to alter the specifications during the project. Exactly the latter was very beneficiary when creating the demo, as the to-be-solved problem was vaguely defined. The goal was to make a video look like a cartoon using image filters. We soon found out that “cartoonized” is a vague description, and it took several iterations to get the right balance between blur, color-reduction and edge-detection. 
A month ago IWOCL (OpenCL workshop) and DHPCC++ (C++ for GPUs) took place. Meanwhile many slides and posters have been 
Most of our projects are around performance optimisation, but we’re cleaning up bugs too. This is because you can only speed up software when certain types of bugs are cleared out. A few months ago, we got a different type of request. If we could solve bugs in MESA 3D that appear in games.
In the perfect world all software is fast, giving us time to do actual work. Unfortunately we live in an unperfect world, and we have to spend extra time controlling our anger as the software keeps us waiting.