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CUDALink Overview
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    • Related Guides
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CUDALINK OVERVIEW
  • Related Guides
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    • Related Guides
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      • C/C++ Language Interface
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CUDALink Overview

CUDALink allows the Wolfram Language to use the CUDA parallel computing architecture on Graphical Processing Units (GPUs). It contains functions that use CUDA-enabled GPUs to boost performance in a number of areas, such as linear algebra, financial simulation, and image processing. CUDALink also integrates CUDA with existing Wolfram Language development tools, allowing a high degree of automation and control.

Introduction

Getting Started

CUDA and CUDALink

CUDALink Application Areas

Image Processing

Fourier Analysis

CUDALink Programming

Setup and Operation

Core Setup and Testing

CUDA GPU

CUDA Driver

CUDA Resources

Further Setup and Configuration

C Compiler

Updating CUDA Resources

Non-default Installation

NVIDIA_DRIVER_LIBRARY_PATH

CUDA_LIBRARY_PATH

Common Errors

Time Out

No NVCC Compiler

No C Compiler

Systems with Different GPU Manufacturers

Using CUDALink over Remote Desktop

Using CUDALink inside a Virtual Machine

Multiple CUDA Devices

Headless Terminals

Built-in Functions

List Processing

Applications

Line of Sight
Random Walk
Histogram
Dot Product

Image Processing

Applications

Creating New Image Processing Operators
Input Smoothing
Geographical Data Processing
Acquired Image Processing

Linear Algebra and Fourier Transforms

Applications

Spectrum
Image Transformation

Examples

Fluid Dynamics

Volumetric Render

Programming

Introduction

CUDA Architecture

Memory Hierarchy

Compute Capability

Multiple CUDA Devices

Writing a CUDA Kernel

First Kernel

Second Kernel

Loading a CUDA Kernel into Mathematica

C Sequential to CUDA Programming

Porting OpenCL to CUDA

Compiling for CUDA

Generating PTX Files

Generating CUBIN Files

Printing Debug and Register Information

Writing Kernels for CUDALink

Using Real Types

Optimization

Off-Line Compilation

Symbolic Code Generation

Simple Kernel

Getting the Index
Declaring the Body
Testing the First Kernel

Advanced Kernels

Helper Functions
Color Convert
Running Program

Memory

GPU Memory

Purpose of the Memory Manager

Memory Manager Overview

Add Memory

Computation

Get Memory

Usage

Loading Memory

Allocating Memory

Getting Memory

Copying Memory to CPU

Copying Memory to GPU

Unload Memory

Application

Applications

Image Processing

Image Binarize

Recursive Gaussian

Box Filter

Image Adjust

Canny Edge Detection

Linear Algebra and List Processing

Matrix Transpose

Matrix-Vector Multiplication

Matrix-Matrix Multiplication

Dot Product

Convex Hull

Random Number Generation

Pseudorandom Number Generators

Park–Miller
Mersenne Twister

Quasi-Random Number Generators

Halton Sequence
Sobol Sequence
Niederreiter Sequence

Hashing Random Number Generators

Tiny Encryption Algorithm Hashing
MD5 Hashing

Normal Random Numbers

Inverse Cumulative Normal Distribution
Box–Muller

Applications of Random Number Generators

Approximating π
Monte Carlo Integration
Brownian Motion

Code Generation

MultipleDevices

CUDALink Functions

CUDALink Programming

Add Two

Mandelbrot Set

Random Number Generators

Memory

Bandwidth

Reference

Mathematica Functions

Query

CUDAQ
CUDAInformation
CUDADriverVersion
$CUDADeviceCount
$CUDALinkPath
$CUDADevice

Resource Installation

CUDAResourcesInstall
CUDAResourcesInformation
CUDAResourcesUninstall

Image Processing

CUDAImageConvolve
CUDABoxFilter
CUDADilation
CUDAErosion
CUDAClosing
CUDAOpening
CUDAImageAdd
CUDAImageSubtract
CUDAImageMultiply
CUDAImageDivide
CUDAClamp
CUDAColorNegate

Fourier Transform

CUDAFourier
CUDAInverseFourier

Linear Algebra

CUDADot
CUDATranspose
CUDAArgMaxList
CUDAArgMinList
CUDATotal

CUDALink Programming

CUDAFunction
CUDAFunctionLoad
CUDAFunctionInformation
NVCCCompiler
CUDACCompilers
SymbolicCUDAFunction
SymbolicCUDABlockIndex
SymbolicCUDAThreadIndex
SymbolicCUDABlockDimension
SymbolicCUDACalculateKernelIndex
SymbolicCUDADeclareIndexBlock

Memory

CUDAMemory
CUDAMemoryLoad
CUDAMemoryAllocate
CUDAMemoryGet
CUDAMemoryUnload
CUDAMemoryInformation
CUDAMemoryCopyToHost
CUDAMemoryCopyToDevice

CUDALink Examples

CUDAFinancialDerivative
CUDAMap
CUDASort
CUDAFold
CUDAFoldList
CUDAVolumetricDataRead
CUDAVolumetricRender
CUDAFluidDynamics

CUDAQ and CUDAInformation

System Requirements

Operating System

GPU Hardware

Double-Precision Support

Graphics Card Information

Checking the NVIDIA Driver

Windows
Linux
Mac OS X

Related Guides

    ▪
  • Running Computations on GPU Using CUDA
  • ▪
  • Running Computations on GPU Using OpenCL
  • ▪
  • C/C++ Language Interface
  • ▪
  • Calling C Compilers from the Wolfram Language
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