- #NVIDIA CUDA TOOLKIT REQUIRED TO USE VIDEO CARD HOW TO#
- #NVIDIA CUDA TOOLKIT REQUIRED TO USE VIDEO CARD DRIVER#
Monte-Carlo Option Pricing This sample evaluates fair call price for a given set of European options using Monte-Carlo approach.īlack-Scholes Option Pricing This sample evaluates fair call and put prices for a given set of European options by Black-Scholes formula.īinomial Option Pricing This sample evaluates fair call price for a given set of European options under binomial model. Monte-Carlo Option Pricing with multi-GPU support This sample evaluates fair call price for a given set of European options using Monte-Carlo approach, taking advantage of all CUDA-capable GPUs installed in the system. Image/Video Processing and Data Compression Please obtain the CUDA Toolkit here Quick Links: Data-Parallel Algorithms The NVIDIA CUDA Toolkit is required to run and compile code samples. This code is released free of charge for use in derivative works, whether academic, commercial, or personal. The network installer will initially be a very small executable, which will download the required files when run. Step 2 Select the type of installation that you would like to perform. Step 1 Visit and select the desired operating system.
#NVIDIA CUDA TOOLKIT REQUIRED TO USE VIDEO CARD HOW TO#
Refer to the following READMEs for more information ( In this section, we will see how to install the latest CUDA toolkit. Advanced application examples such as image convolution, Black-Scholes options pricing and binomial options pricing.Performance: profiling using timers and bandwidth tests.Data-parallel algorithms such as parallel prefix sum of large arrays.Linear algebra primitives such as matrix transpose and matrix-matrix multiplication.How-To examples covering CUDA BLAS and FFT libraries, texture fetching in CUDA, and CUDA interoperation with the OpenGL and Direct3D graphics APIS.
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#NVIDIA CUDA TOOLKIT REQUIRED TO USE VIDEO CARD DRIVER#
Simple techniques such as C++ code integration and efficient loading of custom datatypes Also according to Cuda installation logs in Ubuntu and another stackoverflow post CUDA toolkits require the following minimum Nvidia driver versions in Linux OS: at least 340.00 is required for CUDA 6.5 at least 331.00 is required for CUDA 6.0 at least 319.00 is required for CUDA 5.5.
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The SDK includes dozens of code samples covering a wide range of applications including: The CUDA Developer SDK provides examples with source code, utilities, and white papers to help you get started writing software with CUDA.