技术标签:CUDAsortSTLthrust 1.测试平台: CPU:Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz GPU:nvidia tesla p100 memory:32GB CUDA 9.0 &nbs... 查看原文 Ubuntu16.04装机后配置环境 9.0,V9.0.176 21.输入 $ cd /home/user(***用户名***)/NVIDIA_CUDA-9.0_Samples/bin/x86_64/linux/release......
n *sizeof(int));cudaMemcpy(data_device, data_host, n *sizeof(int), cudaMemcpyHostToDevice);/*使用thrust::sort()排序*/// thrust::sort()只支持迭代器,因此需要将int*指针转为device_ptr<int>容器类型thrust::device_ptr<int>t_ptr(data_device); ...
[CUDA] 使用thrust::sort()函数排序 0 0 升级成为会员 posted @2024-03-23 22:55小丑_jk阅读(57) 评论(0)收藏举报
thrust::device_vector<int> d_vec = h_vec; // Sort data on the device. thrust::sort(d_vec.begin(), d_vec.end()); // Transfer data back to host. thrust::copy(d_vec.begin(), d_vec.end(), h_vec.begin()); } See it on Godbolt This example demonstrates computing the sum ...
It builds on top of established parallel programming frameworks (such as CUDA, TBB, and OpenMP). It also provides a number of general-purpose facilities similar to those found in the C++ Standard Library.Thrust is an open source project; it is available on GitHub and included in the NVIDIA ...
thrust::sort_by_key要求键数组和值数组的长度必须相同。 排序操作是在GPU上进行的,因此键数组和值数组必须是thrust::device_vector类型。 排序后的结果会覆盖原始数据,如果需要保留原始数据,请在进行排序操作之前先复制一份。通过thrust::sort_by_key,开发者可以轻松地实现高效的并行排序,从而加速应用程序的性能。
Radix sort code redefines __CUDA_ARCH__ #371 Closed jaredhoberock opened this issue May 13, 2013· 0 comments CommentsContributor jaredhoberock commented May 13, 2013 This is really unsafe and we need to avoid it.jaredhoberock closed this as completed May 13, 2013 ...
【CUDA 】-Thrust sort&sortbykey 不会code的程序猿关注IP属地: 西藏 0.1682017.05.12 14:51:52字数34阅读2,172 #include <stdlib.h> #include <stdio.h> #include <string.h> #include <math.h> #include<algorithm> // includes CUDA #include <cuda_runtime.h> #include<device_launch_parameters.h>...