Our work powers smart cameras, large simulations and real-time software
A selection of our customers
We have helped many companies become competitive, and cannot mention them here as of today. Below are public examples.
The world’s fastest random number generator is built for AMD GPUs, and it’s open source. With random numbers generated at several hundreds of gigabytes per second, the library makes it possible to speed up existing code numerous times. The code is faster than Nvidia’s cuRAND and is therefore the preferred library to be used on any high-end GPU.
When a company wants to have OpenCL 2.2 on their device, they need to use a large test-suite to test their drivers and device. We made that update, which was a big change from 2.1 because of the addition of C++ kernels. We hope to see more devices support OpenCL 2.2 and find the new test suite to be complete and correct.
We ported GROMACS to OpenCL and optimised the code for usage with AMD FirePro accelerators. This resulted in code that is as fast with CUDA. Gromacs is used world-wide by over 5000 research centers, from simulating molecular docking to examining the hydrogen bonds in a falling water drop. Read more…
For the university of Stanford we optimised a part of TeraChem, a general purpose quantum chemistry software designed to run on NVIDIA GPU architectures. Our work resulted in adding an extra 70% performance to the already optimised CUDA-code.
For the University of Manchester we got a large speedup with UNIFAC when going from OpenMP code to optimised OpenCL. Where OpenMP could get the single threaded code down to about 8 seconds, we brought it down to 0.062 seconds. Read more…
We helped the Memorial Sloan-Kettering Cancer Center with improving a tool they used daily. Where it previously took one hour, it now takes just two minutes – a speed-up of 30x. Their productivity rose, as they did not need to wait for results so long anymore and could get more done without buying new computers.
Want to read more what we did? Read our success stories.
Technologies we work with