nVIDIA - CUDA-SDK frei verfügbar

Citation :
GeForce 8 für datenintensive und wissenschaftliche Berechnungen nutzen

Zur Einführung der Grafikkarten mit dem flexibel programmierbaren GeForce-8-Chip hatte Nvidia Entwicklern auf Nachfrage mit dem CUDA (Compute Unified Device Architecture) getauften SDK auch eine Möglichkeit in die Hand gegeben, die Leistung des Grafikprozessors beispielsweise für wissenschaftliche Berechnungen zu nutzen.

Technology Features:
▪ Unified hardware and software solution for parallel computing on CUDA-enabled NVIDIA GPUs
▪ CUDA-enabled GPUs support the Parallel Data Cache and Thread Execution Manager for high performance computing
▪ Standard C programming language enabled on a GPU
▪ Standard numerical libraries for FFT (Fast Fourier Transform) and BLAS (Basic Linear Algebra Subroutines)
▪ Dedicated CUDA driver for computing
▪ Optimized upload and download path from the CPU to CUDA-enabled GPU
▪ CUDA driver interoperates with OpenGL and DirectX graphics drivers
▪ Support for Linux and Windows XP operating systems
▪ Scales from high performance professional graphics solutions to mobile and embedded GPUs
▪ Native multi-GPU support for high density computing with Quadro CUDA-enabled GPUs
▪ Direct driver and assembly level access through CUDA for research and language development

golem.de: GPU als Rechenknecht: Nvidias CUDA-SDK nun frei verfügbar
nVIDIA Developer: CUDA - Revolutionary GPU Computing

News by Luca Rocchi and Marc Büchel - German Translation by Paul Görnhardt - Italian Translation by Francesco Daghini


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