openmp

OpenMP 4.5 won't offload to GPU with target directive

由 陌路散爱 提交于 2021-01-04 06:01:29
问题 I am trying to make a simple GPU offloading program using openMP. However, when I try to offload it still runs on the default device, i.e. my CPU. I have installed a compiler, g++ 7.2.0 that has CUDA support (is in on a cluster that I use). When I run the below code it shows me that it can see the 8 GPUs but when I try to offload it says that it is still on the CPU. #include <omp.h> #include <iostream> #include <stdio.h> #include <math.h> #include <algorithm> #define n 10000 #define m 10000

并行计算与并行编程课程内容介绍

由 ﹥＞﹥吖頭↗ 提交于 2020-12-27 13:49:59
課程大綱 本課程將介紹平行計算的基礎觀念和電腦系統架構，並教授針對不同平行計算環境所設計的程式語言，包括多核心系統使用的 Pthread、OpenMP, 叢集計算使用的MPI, GPU使用的CUDA, 以及分散式系統使用的MapReduce計算框架。修課同學必須使用 這些平行計算的語言和工具完成5個程式作業，並且以程式的執行效能結果作為學習的評量標準。 【課程說明 Course Description】 本課程將介紹平行計算的基礎觀念和電腦系統架構，並教授針對不同平行計算環境所設計的程式語言，包括多核心系統使用的 Pthread、OpenMP, 叢集計算使用的MPI, GPU使用的CUDA, 以及分散式系統使用的MapReduce計算框架。修課同學必須使用 這些平行計算的語言和工具完成5個程式作業，並且以程式的執行效能結果作為學習的評量標準。 Part I Introduction - Introduction to Parallel Computers - Introduction to Parallel Computing Part II Parallel Programming - Message-Passing Programming (MPI) - Shared Memory Programming (Pthread and OpenMP) Part III

C++ fatal error C1001: An internal error has occurred in the compiler with openMP

由 痴心易碎 提交于 2020-12-15 06:13:09
问题 I have a program that solves sudoku puzzles and I've gotten it to work sequentially, but now I'm trying to parallelize it using openMP. The function solvePuzzle() includes the algorithm and I want to parallelize the for loop within it however when I add #pragma omp parallel for statement before my for loop i get this error: fatal error C1001: An internal error has occurred in the compiler. The code for the function is solvePuzzle() : bool sudoku::solvePuzzle(int grid[CELL][CELL]) { int row,

Running OpenMP with different version of g++ in Mac

由 丶灬走出姿态 提交于 2020-12-13 11:23:28
问题 I recently installed OpenMP on my macOS high Sierra using brew. I can easily run code that has OpenMP directives using g++-9 (similar to what was suggested in the answer here: Using OpenMP with C++11 on Mac OS ) . However, I need to add OpenMP functionality to a project that uses OpenCV, and I can only compile that with regular g++ ( g++ —version shows it’s 4.2.1) . I do not intend to use any OpenCV built-in algorithms that may use OpenMP, simply want to use them separately in the same

Gcc offload compilation options

由 纵饮孤独 提交于 2020-12-13 03:33:32
问题 I'm trying to build the simplest OpenMP or OpenACC C++ program with GPU offload using gcc-10, CUDA 11 on Ubuntu 18.04 and this CMakeLists.txt file (or OpenMP version): cmake_minimum_required(VERSION 3.18) project(hello VERSION 0.1.0) find_package(OpenACC REQUIRED) add_executable(hello main.cpp) target_compile_options(hello PRIVATE -O3 -fopenacc -foffload=nvptx-none) target_link_libraries (hello OpenACC::OpenACC_CXX) The build fails with: [build] [100%] Linking CXX executable hello [build]

Gcc offload compilation options

由 女生的网名这么多〃 提交于 2020-12-13 03:31:48
问题 I'm trying to build the simplest OpenMP or OpenACC C++ program with GPU offload using gcc-10, CUDA 11 on Ubuntu 18.04 and this CMakeLists.txt file (or OpenMP version): cmake_minimum_required(VERSION 3.18) project(hello VERSION 0.1.0) find_package(OpenACC REQUIRED) add_executable(hello main.cpp) target_compile_options(hello PRIVATE -O3 -fopenacc -foffload=nvptx-none) target_link_libraries (hello OpenACC::OpenACC_CXX) The build fails with: [build] [100%] Linking CXX executable hello [build]

OMP: What is the difference between OMP PARALLEL DO and OMP DO (Without parallel directive at all)

由 心不动则不痛 提交于 2020-12-12 13:23:14
问题 OK, I hope this was not asked before, because this is a little tricky to find on the search. I have looked over the F95 manual, but still find this vague: For the simple case of: DO i=0,99 <some functionality> END DO I'm trying to figure out what is the difference between: !$OMP DO PRIVATE(i) DO i=0,99 <some functionality> END DO !$OMP END DO And: !$OMP PARALLEL DO PRIVATE(i) DO i=0,99 <some functionality> END DO !$OMP PARALLEL END DO (Just to point out the difference: the first one has OMP

OMP: What is the difference between OMP PARALLEL DO and OMP DO (Without parallel directive at all)

由 喜夏-厌秋 提交于 2020-12-12 13:22:10
问题 OK, I hope this was not asked before, because this is a little tricky to find on the search. I have looked over the F95 manual, but still find this vague: For the simple case of: DO i=0,99 <some functionality> END DO I'm trying to figure out what is the difference between: !$OMP DO PRIVATE(i) DO i=0,99 <some functionality> END DO !$OMP END DO And: !$OMP PARALLEL DO PRIVATE(i) DO i=0,99 <some functionality> END DO !$OMP PARALLEL END DO (Just to point out the difference: the first one has OMP

Overriding OMP_NUM_THREADS from code - for real

由 喜你入骨 提交于 2020-12-12 10:53:10
问题 All the answers I was able to find so far suggest calling omp_set_num_threads . While it's a proper answer for most cases, it doesn't work for me. Internally, calling omp_set_num_threads causes a creation of per-thread ICV (or modification, if current thread already has one), and the number of threads is stored there. This means that if there is a different thread, that starts a parallel region, it won't see our new value. So calling omp_set_num_threads != setting OMP_NUM_THREADS env variable

OpenMP用法大全

由 这一生的挚爱 提交于 2020-12-02 05:58:23
OpenMP基本概念 OpenMP是一种用于共享内存并行系统的多线程程序设计方案，支持的编程语言包括C、C++和Fortran。OpenMP提供了对并行算法的高层抽象描述，特别适合在多核CPU机器上的并行程序设计。编译器根据程序中添加的pragma指令，自动将程序并行处理，使用OpenMP降低了并行编程的难度和复杂度。当编译器不支持OpenMP时，程序会退化成普通（串行）程序。程序中已有的OpenMP指令不会影响程序的正常编译运行。在VS中启用OpenMP很简单，很多主流的编译环境都内置了OpenMP。在项目上右键->属性->配置属性->C/C++->语言->OpenMP支持，选择“是”即可。 OpenMP执行模式 OpenMP采用fork-join的执行模式。开始的时候只存在一个主线程，当需要进行并行计算的时候，派生出若干个分支线程来执行并行任务。当并行代码执行完成之后，分支线程会合，并把控制流程交给单独的主线程。 一个典型的fork-join执行模型的示意图如下： OpenMP编程模型以线程为基础，通过编译制导指令制导并行化，有三种编程要素可以实现并行化控制，他们分别是编译制导、API函数集和环境变量。 编译器指令 OpenMP的编译器指令的目标主要有：1）产生一个并行区域；2）划分线程中的代码块；3）在线程之间分配循环迭代；4）序列化代码段；5）同步线程间的工作
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