CUDA


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CUDA

The architecture of the NVIDIA graphics processing unit (GPU), starting with its GeForce 8 chips. The CUDA programming interface (API) exposes the inherent parallel processing capabilities of the GPU to the developer and enables scientific and financial applications to be run on the graphics GPU chip rather than the CPU (see GPGPU).

CUDA also supports NVIDIA's PhysX physics simulation algorithms for game developers who want to create more realism in their video games (see PhysX). CUDA was originally an acronym for Compute Unified Device Architecture.

CUDA C/C++ and CUDA Fortran
CUDA operations are programmed in traditional programming languages. C/C++ and Fortran source code is compiled with NVIDIA's own CUDA compilers for each language. The CUDA Fortran compiler was developed by the Portland Group (PGI), which was acquired by NVIDIA. See GPU.
References in periodicals archive ?
The event creates an opportunity for local CUDA experts and technology professionals to meet in person, share experiences and discuss leading industry topics and trends within a friendly collaborative atmosphere.
Additional performance and productivity features of the CUDA 6.
CUDA offers a flexible programming model, thus the current generation of GPUs allows us to take into account a wider range of algorithms than it was previously possible on GPU architectures.
Aimed at expert C and C++ programmers this interesting guide describes the use of NVIDIA's CUDA C language to integrate the parallel processing power of NVIDIA GPUs into non-graphics related but computationally complex applications.
Summary: PGI CUDA Fortran Compiler enables programmers to write code in Fortran for NVIDIA CUDA GPUs
Wipro, as the first global company to form a CUDA team to provide solutions, brings a strong expertise in providing software services to many of our key target segments including seismic, financial modeling, medical imaging, video processing and others.
NVIDIA is a registered trademark, and CUDA is a trademark, of NVIDIA Corporation.
com/prnh/20131029/648699 ) CUDA is a parallel computing platform and programming model that enables significant improvement in computing performance by harnessing the power of NVIDIA GPU accelerators.
Designed from the ground up for CUDA which has more than 100,000 developers at over 8,000 institutions, and is taught at top universities in 62 countries Jetson TK1 Developer Kit includes the programming tools required by software developers to quickly develop and deploy compute-intensive systems.
Support for NVIDIA CUDA comes from NumbaPro, a Python compiler in the new Anaconda Accelerate product from Continuum Analytics.
NVIDIA CUDA technology significantly reduces the processing time involved in this.
The University of Utah is also the second school to be recognized as a CUDA Center of Excellence along with the University of Illinois at Urbana-Champaign.