We ask all our customers if we could use their story on our webpage. For competition reasons, this is often not possible. The people of CEWE Stiftung & Co. KGaA were so kind to share his experience since he did a OpenCL training with us and we reviewed his code. Enjoy his story on his experience from the
An example of real-world, end-user OpenCL usage Read More »
Random numbers are important elements in stochastic simulations, but they also show up in machine learning and applications of Monte Carlo methods such as within computational finances, fluid dynamics and molecular dynamics. These are classical fields in high-performance computing, which StreamHPC has experience in. A common problem when porting traditional software in these fields to
Random Numbers in Parallel Computing: Generation and Reproducibility (Part 1) Read More »
To see if OpenCL is the right choice for your project, we now only ask one day of your time. This enables you to quickly assess the technology without a big investment. Throughout Europe we give crash courses in OpenCL. After just one day you will know: The models used to define OpenCL. If OpenCL is an option
New: OpenCL Crash Courses Read More »
Looking around in our code and on our intranet, I found lots of great and unique solutions to get the most performance out. Ofcourse we cannot share all of those, but there are some code-snippets that just have to get out. Below is one of them. In OpenCL there is only atomic_add or atomic_mul for ints, and
Atomic operations for floats in OpenCL – improved Read More »
If there would be one rule to get the best performance, then it’s avoiding data-transfers. Therefore it’s important to have lots of bandwidth and GFLOPS per processor, and not simply add up those numbers. Everybody who has worked with MPI, knows why: transferring data between processors can totally kill the performance. So the more is packed in one
Performance of 5 accelerators in 4 images Read More »
At the university of Newcastle they use OpenCL for researching the performance balance between software and hardware. This resource management isn’t limited to shared memory systems, but extends to mixed architectures where batches of co-processors and other resources make it much more complex problem to solve. They chose OpenCL as it gives both inter-node and intra-node resource-management. Currently they offer
PHD position at university of Newcastle Read More »
Warning: below is raw material, and needs some editing. Today there was quite some news around OpenCL, I’m afraid I can’t wait till later to have all news covered. Some news is unexpected, some is great. Let’s start with the great news, as the unexpected news needs some discussion. Khronos released OpenCL 2.1 final specs As of today you
SC15 news from Monday Read More »
This year we’re unfortunately not at SuperComputing 2015 for reasons you will hear later. But we haven’t forgotten about the people going and trying to find a share of OpenCL. Below is a list of companies having a booth at SC15, which was assembled by the guys of IWOCL and we completed with some more background information.
OpenCL at SC15 – the booths to go to Read More »
What do you do when you want to explain OpenCL and FPGAs and OpenCL-on-FPGAs to a beer drinking crowd in just 15 minutes? Well, you simply can’t go deep into the matter. On a Thursday evening, 5 November 2015, I was standing on a chair for a beer-loving group of Hackers and Founders with my laser-powered presenter, trying
An OpenCL-on-FPGAs presentation in a bar Read More »
As we cannot use the performance results for most of our commercial projects because they contain sensitive data, we were happy that Dr. David Topping from the University of Manchester was so kind to allow us to share the data for the UNIFAC project. The goal for this project was simple: port the UNIFAC algorithm to the
Porting Manchester’s UNIFAC to OpenCL@XeonPhi: 160x speedup Read More »