It performs best on large amounts of data, like images, 3D volumes, measurement data, or physics simulations.
But programming a GPU can be challenging. Its architecture differs a lot from CPUs, and optimal programming works differently.
GPU Optimization
Accelerating your code with CUDA, Vulkan, OpenCL, WebGL and WebGPU.
Custom Development
Building bespoke GPU-powered applications and libraries.
Training & Courses
Upskilling your team with targeted GPU programming training.
Got GPU?
A graphics processing unit, also known as GPU, can process data up to ten times faster than the main
processor of a common PC.
Experts at Hand
Core11 GmbH, based in Vienna/Austria,
consults worldwide in application development for GPUs, large and small.
After decades of field experience, we know our way around the perils of GPU programming and can make Computer Vision and High Performance Computing workloads run efficiently on GPUs of any size. Speedups over CPU code are typically ten times or more.
20+ Years of GPU Experience
Our knowledge is based on twenty years of experience with GPGPU (general purpose computation on GPUs). This
includes
pure simulation, image processing, scientific visualization, and interactive prototypes in VR and AR.
We work with embedded systems (NVIDIA Jetson) as well.
Latest Techniques
We constantly evaluate new hardware programming techniques to ensure the highest performance for our customers. Our
preferred hardware platform is NVIDIA hardware, but we are open to working on other platforms with Vulkan and
WebGPU.