Combine productive development with high-performance computation of your computer models on HPC infrastructures.
Learn about the code optimization of the MACC compiler suite without obligation via our demonstrator!
Explore the MACC-Compilersuite and experience the future of productive development. Take profit from high-performance computation of your computer models.
With the MACC-Compilersuite you can increase the productivity of your development processes in MATLAB or Python. Re-focus on modeling with orientation to the core task. Your code will be significantly optimized and accelerated using the MACC-Compilersuite, eliminating the need to worry about limited performance when modelling.
After a hotspot analysis by profiling, you simply mark the hotspots with MACC directives (annotations). After selecting your preferred hardware, the MACC-Compilersuite does the rest for you.
At the push of a button using the latest compiler and parallelization techniques, the MACC-Compilersuite optimizes your code automatically. In this process, MEX Files are generated out of MATLAB code and C Extension Modules out of Python code.
By using the latest HPC technologies, completely new dimensions of computing acceleration can be achieved. Thereby, the target hardware is optimally exploited for the highest possible performance gain.
Due to the partial automation of the parallelization process, specialist knowledge for parallelization becomes no longer necessary. The parallelization process is easy to perform for every user in just a few steps.
The uncomplicated usage of the MACC-Compilersuite quickly and efficiently replaces the time-consuming process of manual translation and parallelization. The generated and highly optimized MEX Files and C Extension Modules can be smoothly integrated into your code base.
While script languages such as MATLAB and Python are excellently suited for prototyping, weak performance limits the scope of computational tasks. Only through manual translation into a hardware-related language and a subsequent parallelization it is possible to compute complex applications, larger samples and repetitive runs with high performance – the results of which can achieve the necessary accuracy and reliability. The manual process causes considerable effort and slows down the innovation process.
Acceleration up to 300 times
Measured acceleration using the EasyWave-Tsunami simulation of the German Research Centre for Geosciences (GFZ) as an example.