Parallel Computing - CUDA
If you need to design a data-intensive application that is capable of performing complex parallel calculations- from aerodynamic modeling tools to medical diagnostic systems - you might be greatly hindered by the limitations of traditional desktop processors’ architecture.
One solution you might think of is using a super-computer that combines dozens or hundreds of CPUs in an array. But can you really afford it?
A viable alternative is closer than you think. All you need is a modern graphics card(GPU) manufactured by NVidia Corporation, coupled with our expertise in new promising technology from NVIDIA® labeled Compute Unified Device Architecture (CUDA). Modern NVidia GPUs have 128 thread processors on board (and this number is projected to grow in future), which makes them a robust, inexpensive hardware platform for parallel computing. CUDA™ is NVidia’s general purpose parallel computing architecture that leverages the parallel compute engine in NVidia GPUs to solve many complex computational problems in a fraction of the time required on a regular CPU.
We can develop CUDA-based software for the following purposes:
- Digital signal processing
- Advanced on-the-fly encryption and decoding
- Artificial Intellignece
- Engineerng and modelling
You can find out more about CUDA at the official NVidia website.