cs193g课程镜像
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
Jared Hoberock 293b6fa8c6 Port tutorial page 6 from Google Code archive 3 years ago
..
util Fix some compilation problems inside stl_heap on 64b gcc. 15 years ago
0_prerequisites.md Update 0_prerequisites.md 3 years ago
1_a_heterogeneous_programming_model.md Link page 1 to page 2 3 years ago
2_hello_world.md Merge branch 'master' of github.com:jaredhoberock/stanford-cs193g-sp2010 3 years ago
3_global_functions.md Port tutorial page 4 from Google Code archive 3 years ago
4_multi_dimensional_kernel_launch.md Port tutorial page 5 from Google Code archive 3 years ago
5_device_functions.md Port tutorial page 6 from Google Code archive 3 years ago
6_when_something_goes_wrong.md Port tutorial page 6 from Google Code archive 3 years ago
README.md Begin port of tutorial wiki pages 3 years ago
block_scan.cu Add block scan example code. 15 years ago
cuda_errors.cu Add CUDA errors demo 15 years ago
cuda_memory_model.cu Minor changes to cuda_memory_model.cu 16 years ago
device_functions.cu return_XXX_YYY() -> get_XXX_YYY() 15 years ago
global_functions.cu Add device_functions example 16 years ago
hello_world.cu more comments to hello_world.cu 16 years ago
matrix_multiplication.cu Add matrix_multiplication example 15 years ago
shared_variables.cu simple -> Simple 15 years ago
sum_reduction.cu Remember to deallocate memory in sum_reduction.cu 15 years ago
thread_local_variables.cu Add kNN example demonstrating the use of thread-local variables. 16 years ago
two_dimensional_kernel_launch.cu Simplify two_dimensional_kernel_launch example 16 years ago
vector_addition.cu Fix typos in vector_addition.cu tutorial 15 years ago

README.md

Introduction

This tutorial describes how to get started programming in CUDA C/C++, a language for programming massively parallel GPUs. It's intended for an audience experienced in C or C++ programming.

Let's begin by making sure our development system meets the prerequisites for CUDA programming.