What is Cuda?
Applications we have developed
NVIDIA® CUDATM is a general purpose parallel computing architecture that leverages the parallel compute engine in NVIDIA graphics processing units (GPUs) to solve many complex computational problems in a fraction of the time required on a CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine in the GPU. To program to the CUDATM architecture, developers can, today, use C, one of the most widely used high-level programming languages, which can then be run at great performance on a CUDATM enabled processor.
Applications we have developed
HD Video Enhancer - 1920x1080 HD video filtering application. Making extensive use of multiple pass DCT/IDCT based algorithms. Based on original NVIDIA SDK example which runs 30 times faster than CPU version, we increased this by an order of magnitude on a single GPU implementation. Multi GPU support pushed this still further.
Ongoing data mining assignment split over multiple, multi-gpu nodes, processing terabytes of data. Actively seeking further projects.
Check out Morgan Kaufmann for our book to be publish November 2012.
CUDA Programming - A Developers guide to parallel computing with GPUs by
Shane Cook (
)
Developers
Salman
MBA
Marketing & Sales
Bogdan
Video Codec Expert
Shane Cook
Technical Lead, MBA
Based in UK / Germany
Technical Lead, MBA
Based in UK / Germany
Dmitry
CUDA Expert
CUDA Expert
Dr. Basu
PhD Parallel Processing
Maths Consultant
PhD Parallel Processing
Maths Consultant
Denis
SIMD, SSE, MMX
Low level programming
SIMD, SSE, MMX
Low level programming
Aksana
English/Russian/German
Translator & Admin.
English/Russian/German
Translator & Admin.
SalmanMBA
Marketing & Sales
BogdanVideo Codec Expert
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