At StreamHPC we do several very different types of projects, but this project has been very, very different. In the first place, it was nowhere close to scientific simulation or media processing. Our client, Intersoft solutions, asked us to speed up thousands of payroll calculations on a GPU. They wanted to solve a simple problem, […]
The Fastest Payroll System Of The World Read More »
Last year we accelerated the OpenCL-code in PaSWAS, which is open source software to do DNA/RNA/protein sequence alignment and trimming. It has users world-wide in universities, research groups and industry. Below you’ll find the benchmark results of our acceleration work. You can also test out yourself, as the code is public. In the readme-file you
We accelerated the OpenCL backend of pyPaSWAS sequence aligner Read More »
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. Yes,
Bug fixing the MESA 3D drivers Read More »
Some weeks ago we started with implementing the Compiler Test Suite for OpenCL 2.2. The biggest improvement of OpenCL 2.2 is C++ kernels, which originally was planned for 2.1. SPIRV 1.1 is another big improvement. We are very happy to have a part in making OpenCL better! We find OpenCL C++ kernels very important, even if
We have been awarded the Khronos project to upgrade the OpenCL test suite to 2.2! 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 »
GROMACS is an important molecular simulation kit, which can do all kinds of “soft matter” simulations like nanotubes, polymer chemistry, zeolites, adsorption studies, proteins, etc. It is being used by researches worldwide and is one of the bigger bio-informatics softwares around. To speed up the computations, GPUs can be used. The big problem is that
We ported GROMACS from CUDA to OpenCL Read More »