Application Optimization

Application Optimization

An essential feature of efficient R&D is the high-performance computation of simulations and other applications on HPC hardware. The code optimizations required for this process need detailed knowledge in multithreading, cache optimization and memory management. Our HPC experts analyze and parallelize your code for an efficient use of your computing resources and the resulting significant acceleration of your development processes.

Translation

By translating to a language close to the hardware, a considerable performance gain is already generated in the first instance. The generated code is also a requirement for effective parallelization.

Technologies

Parallelization and other optimisation methods are necessary to efficiently use the resources of modern computing architectures. Our specially trained HPC developers offer you the know-how to optimize your application for your individual computing architectures.

  • C
  • C++
  • Fortran
  • MATLAB
  • Python
  • R
  • OpenCL
  • OpenMP
  • MPI
  • Nvidia CUDA
  • OpenACC
  • Vektorisierung
  • C
  • C++
  • Fortran
  • Algorithm Redesign
  • Plattformoptimierung
  • Technologie Upgrades
  • Refactoring

Target Architectures

Wählen Sie selbst aus, für welche Hardware Ihre Anwendung optimiert werden soll. Wir beraten Sie gerne.

  • Multicore CPU
  • Manycore GPU
  • Clustersystems
Multicore CPU

Modern multi-core processors feature up to 28 independent cores and 56 threads. They are optimized for sequential serial processing and maximize the performance of a single task within a job.

Manycore GPU

GPUs consist of thousands of small and highly efficient cores, which are suitable for simultaneous processing of a wide range of functions. In direct comparison to the CPU, they allow applications to be accelerated 50 to 100 times if they consist of many parallel processes.

Clustersystems

Computer clusters are single logical units consisting of multiple computers connected over a network. They enable much higher performance than individual processors, can be flexibly expanded and are cost-efficient – measured on the given performance.

Multicore CPU

 
Modern multi-core processors feature up to 28 independent cores and 56 threads. They are optimized for sequential serial processing and maximize the performance of a single task within a job.

Manycore GPU

GPUs consist of thousands of small and highly efficient cores, which are suitable for simultaneous processing of a wide range of functions. In direct comparison to the CPU, they allow applications to be accelerated 50 to 100 times if they consist of many parallel processes.

Clustersystems

Computer clusters are single logical units consisting of multiple computers connected over a network. They enable much higher performance than individual processors, can be flexibly expanded and are cost-efficient – measured on the given performance.

Do you still have open questions?

Contact us for a consultation appointment and an individual offer!