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CUDACompute Unified Device Architecture (Nvidia)
CUDACredit Union Development Association (Dublin, Ireland)
CUDACredit Union Director Achievement
CUDACamillus Ultra Design Advantage (knife)
CUDACompositores Unidos de Argentina (Spanish: United Composers of Argentina)
CUDACapacitive Unit Discharge ASIC (Apple Computers)
References in periodicals archive ?
The organizer of this meetup is Taras Shpot, one of ELEKS' brightest CUDA and C++ specialists.
Improved debugging for CUDA FORTRAN applications (preview) Includes new debugging support for FORTRAN arrays (Linux only), improved source-to-assembly code correlation, and improved documentation.
In the following, I briefly present the most important aspects regarding the architecture of current GPUs and NVIDIA's CUDA parallel programming model.
Why: GPU computing with the CUDA C-compiler has gained significant momentum in the High-Performance Computing (HPC) space as it enables developers to get transformative increases in performance with minimal coding required.
GPUs represent a paradigm shift in High Performance Computing and Wipro is excited to form a CUDA team to enable solutions to customers in markets such as Oil & Gas, Health & Life Sciences, Financial Services and Media & Communication," said V R Venkatesh, senior vice president, Product Engineering Services, Wipro Technologies.
Hundreds of Engineers from USA, Europe and Asia will have an opportunity to perfect their CUDA parallel programming skills at eITRA centers in India.
Our experience with the previous generation CUDA development kit has already enabled us to make great progress training robots to interact more intelligently with their environment.
This new support for GPU-accelerated application development is the result of NVIDIA s contribution of the CUDA compiler source code into the core and parallel thread execution backend of LLVM, a widely used open source compiler infrastructure.
An NVIDIA GPU is for more than just games," said Sanford Russell, general manager of the CUDA group at NVIDIA.
Together, NVIDIA and the University of Utah will continue this industry-changing work and deliver technologies that harness the processing power of the GPU (graphics processing units) and the award-winning CUDA programming environment.
By shortening the time-to-solution, the 6U CUDA Starter Kit can deliver customers a sustainable competitive advantage.
NVIDIA GeForce GTX 675M comes with 2 GB of DDR5 memory, 384 CUDA cores with the GPU running at 620 Mhz for the utmost in graphics performance.