//////////////////////////////////////////////////////////////////////////// // // Copyright 1993-2015 NVIDIA Corporation. All rights reserved. // // Please refer to the NVIDIA end user license agreement (EULA) associated // with this source code for
https://en.wikipedia.org/wiki/Thread_control_block Thread Control Block (TCB) is a data structure in the operating system kernel which contains thread-specific information needed to manage it. The TCB is "the manifestation of a thread in an operating
cpu 密集性task,过多的线程反而降低了处理效率,最佳的做法就是保持和cpu core数量大致相同的线程数量: threads = number of CPUs + 1 io密集型,因为会有cpu idel,增加线程数量,可以提高cpu的利用率.具体算法: threads = number of cores * (1 + wait time / service time) 参考 http://baddotrobot.com/blog/2013/06/01/optimum-number-of-
程序代码及图解析: #include <iostream> #include "book.h" __global__ void add( int a, int b, int *c ) { *c = a + b; } int main( void ) { int c; int *dev_c; HANDLE_ERROR( cudaMalloc( (void**)&dev_c, sizeof(int) ) ); add<<<1,1>>>
CUDA是一个并行计算框架.用于计算加速.是nvidia家的产品.广泛地应用于现在的深度学习加速. 一句话描述就是:cuda帮助我们把运算从cpu放到gpu上做,gpu多线程同时处理运算,达到加速效果. 从一个简单例子说起: #include <iostream> #include <math.h> // function to add the elements of two arrays void add(int n, float *x, float *y) { for (int