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Nvidia Unveils "Cuda" Technology
Techtree News Staff, Nov 10, 2006 1204 hrs ISTNvidia has unveiled the "Cuda" technology, a fundamentally new architecture for computing on Nvidia graphics processing units (GPUs).
Nvidia has unveiled the "Cuda" technology, a fundamentally new architecture for computing on Nvidia graphics processing units (GPUs), and the industry's first C-compiler development environment for the GPU.
This new computing architecture enables data processing on the GPU for next-generation commercial applications, technical computing, and advanced gaming. It enables GPU processor cores to communicate, synchronize, and share data.
Nvidia believes that Cuda is a new approach to computing, where hundreds of on-chip processor cores simultaneously communicate and cooperate to solve complex computing problems up to 100 times faster than traditional approaches.
Moreover, this breakthrough architecture is complemented by another first, the Nvidia C-compiler for the GPU, which gives developers the tools they need to solve new problems in computation-intensive applications.
Additionally, Cuda-enabled GPUs offer dedicated features for computing, including the parallel data cache, which allows 128, 1.35GHz processor cores in newest generation Nvidia GPUs to cooperate with each other while performing intricate computations.
These GPUs operate as either a flexible thread processor, where thousands of computing programs called threads work together to solve complex problems, or as a streaming processor in specific applications such as imaging where threads do not communicate.
Cuda-enabled applications use the GPU for fine grained data-intensive processing, and the multi-core CPUs for complicated coarse grained tasks such as control and data management.
According to Ryan Schneider, chief technology officer, Acceleware Corp, Cuda gives them a whole new level of computing capability and enables closer access to the hardware, making it possible for Acceleware s electromagnetic simulation and geophysical processing products to continue to double in speed each year.
Adding to it, Alex Krueger, president of Headwave, said that Cuda opens the door for new ways to analyze and interpret seismic data, allowing for interaction with multi-terabyte prestack surveys.
The Cuda Software Developers Kit (SDK) is currently available to developers and researchers through the Nvidia registered developer program. It is also available on the newly launched GeForce 8800 graphics card, and in future on Nvidia Quadro Professional Graphics solutions.
This new computing architecture enables data processing on the GPU for next-generation commercial applications, technical computing, and advanced gaming. It enables GPU processor cores to communicate, synchronize, and share data.
Nvidia believes that Cuda is a new approach to computing, where hundreds of on-chip processor cores simultaneously communicate and cooperate to solve complex computing problems up to 100 times faster than traditional approaches.
Moreover, this breakthrough architecture is complemented by another first, the Nvidia C-compiler for the GPU, which gives developers the tools they need to solve new problems in computation-intensive applications.
Additionally, Cuda-enabled GPUs offer dedicated features for computing, including the parallel data cache, which allows 128, 1.35GHz processor cores in newest generation Nvidia GPUs to cooperate with each other while performing intricate computations.
These GPUs operate as either a flexible thread processor, where thousands of computing programs called threads work together to solve complex problems, or as a streaming processor in specific applications such as imaging where threads do not communicate.
Cuda-enabled applications use the GPU for fine grained data-intensive processing, and the multi-core CPUs for complicated coarse grained tasks such as control and data management.
According to Ryan Schneider, chief technology officer, Acceleware Corp, Cuda gives them a whole new level of computing capability and enables closer access to the hardware, making it possible for Acceleware s electromagnetic simulation and geophysical processing products to continue to double in speed each year.
Adding to it, Alex Krueger, president of Headwave, said that Cuda opens the door for new ways to analyze and interpret seismic data, allowing for interaction with multi-terabyte prestack surveys.
The Cuda Software Developers Kit (SDK) is currently available to developers and researchers through the Nvidia registered developer program. It is also available on the newly launched GeForce 8800 graphics card, and in future on Nvidia Quadro Professional Graphics solutions.
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