About 7 years ago we were still dealing with the usual peaks and lows of consultancy. I’d like to get your help to find our future COO to help streamline this growth. You might have seen that there are hardly any new blog posts – now you know why. By helping us find that special […]
Help us find our future COO 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 »
We’re in the program committee of the 14th IEEE eScience Conference in Amsterdam, organized by the Netherlands eScience Center. It will be held from 29 October to 1 November 2018, and the deadlines for sending the abstracts is Monday 18 June. The conference brings together leading international researchers and research software engineers from all disciplines
Call for speakers: IEEE eScience Conference in Amsterdam Read More »
This month, Stream turns 8. Eight full years of helping customers build faster software. In Chinese numerology, 8 is a lucky number, and we’re feeling it. Eight years of staying focused on quality, delivering results, and growing a reputation we’re proud of. The only downside of being busy? There’s never enough time. We have over
Do you want to join StreamHPC? Read More »
The goal of this writing is to explain which applications are suitable to be ported to OpenCL and run on GPU (or multiple GPUs). It is done by showing the main differences between GPU and CPU, and by listing features and characteristics of problems and algorithms, which can make use of highly parallel architecture of
Selecting Applications Suitable for Porting to the GPU Read More »
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 we want to redo experiments of papers, it starts with finding the code and data used. A good start is Github
DOI: Digital attachments for Scientific Papers Read More »
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
Learn about AMD’s PRNG library we developed: rocRAND – includes benchmarks Read More »
While going through my email, I found out about the third “HiPEAC Student Heterogeneous Programming Challenge”. Unfortunately the deadline was last week, but just got an email: if you register by this weekend (17 September), you can still join. EDIT: if you joined, be sure to comment in early November how it was. This would
GPU and FPGA challenge for MSc and PhD students Read More »
CPUs are now split up in 3 types, depending on the number of cores: single (1), multi (2-8) and many (10+). I find it more important now to split up into these three types, as the types of problems to be solved by each is very different. Based on the problem-differences I’m even expecting that
The single-core, multi-core and many-core CPU Read More »
The University of Edinburgh houses the HPC centre EPCC. Neelofer Banglawala wrote about a programme which funds the development and improvement of scientific software, and also discussed about the results. Many of the 10 most used application codes on ARCHER have been the focus of an eCSE project. Software with more modest user bases have
HPC centre EPCC says: “Better software, better science” Read More »