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NVIDIA CUDA GETTING STARTED
GUIDE FOR MICROSOFT WINDOWS
DU-05349-001_v5.0 | October 2012
Installation and Verification on Windows
TABLE OF CONTENTS
Chapter 1. Introduction.........................................................................................1
1.1 System Requirements.................................................................................... 1
1.2 About This Document.................................................................................... 2
Chapter 2. Installing CUDA Development Tools............................................................ 3
2.1 Verify You Have a CUDA-Capable GPU................................................................ 3
2.2 Download the NVIDIA CUDA Toolkit....................................................................3
2.3 Install the CUDA Software.............................................................................. 4
2.4 Verify the Installation....................................................................................5
2.4.1 Running the Compiled Examples..................................................................5
Chapter 3. Compiling CUDA Programs....................................................................... 8
3.1 Compiling Sample Projects..............................................................................8
3.2 Sample Projects...........................................................................................8
3.3 Build Customizations for Existing Projects........................................................... 9
Chapter 4. Additional Considerations...................................................................... 10
www.nvidia.com
NVIDIA CUDA Getting Started Guide for Microsoft
Windows
DU-05349-001_v5.0 | ii
LIST OF FIGURES
Figure 1 Valid Results from Sample CUDA Device Query Program........................................ 6
Figure 2 Valid Results from Sample CUDA Bandwidth Test Program......................................7
www.nvidia.com
NVIDIA CUDA Getting Started Guide for Microsoft
Windows
DU-05349-001_v5.0 | iii
www.nvidia.com
NVIDIA CUDA Getting Started Guide for Microsoft
Windows
DU-05349-001_v5.0 | iv
Chapter 1.
INTRODUCTION
NVIDIA
®
CUDA
™
is a general purpose parallel computing architecture introduced
by NVIDIA. It includes the CUDA Instruction Set Architecture (ISA) and the parallel
compute engine in the GPU. To program to the CUDA architecture, developers can use
C, one of the most widely used high-level programming languages, which can then be
run at great performance on a CUDA-capable processor.
The CUDA architecture and its associated software were developed with several design
goals in mind:
‣
Provide a small set of extensions to standard programming languages, like C, that
enable a straightforward implementation of parallel algorithms. With CUDA C,
programmers can focus on the task of parallelization of the algorithms rather than
spending time on their implementation.
‣
Support heterogeneous computation where applications use both the CPU and GPU.
Serial portions of applications are run on the CPU, and parallel portions are offloaded
to the GPU. As such, CUDA can be incrementally applied to existing applications.
The CPU and GPU are treated as separate devices that have their own memory
spaces. This configuration also allows simultaneous computation on both the CPU
and GPU without contention for memory resources.
CUDA-capable GPUs have hundreds of cores that can collectively run thousands of
computing threads. Each core has shared resources, including registers and memory.
The on-chip shared memory allows parallel tasks running on these cores to share data
without sending it over the system memory bus.
This guide will show you how to install and check the correct operation of the CUDA
Development Tools.
1.1 SYSTEM REQUIREMENTS
To use CUDA on your system, you will need the following:
‣
CUDA-capable GPU
‣
Microsoft Windows XP, Vista, 7, or 8 or Windows Server 2003 or 2008
www.nvidia.com
NVIDIA CUDA Getting Started Guide for Microsoft
Windows
DU-05349-001_v5.0 | 1
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