tbb

问题 I ran brew install tbb on my mac os sierra device. After running this i should be able to include #include into my c++ projects right? For some reason when I compile these files are not found. Help would be appreciated 回答1: A few things... Check the options on packages Before you install any homebrew packages, get in the habit of checking the available options rather than just accepting the default ones. It often gives you insights into features that are available which you are unaware of. So

来源： https://stackoverflow.com/questions/58997230/cmake-project-fails-to-find-shared-library

来源： https://stackoverflow.com/questions/58997230/cmake-project-fails-to-find-shared-library

问题 Looking for sample code to use tbb::concurrent_hash_map<K,V> from Intel Threading Building Blocks (TBB). I can insert, but I cannot seem to read the values back. The official Intel documentation appears to be somewhat lacking on the sample code side. Update The best docs are in "Pro TBB: C++ Parallel Programming with Threading Building Blocks" by Voss. Download this book for free (it's public domain). Ignore the Intel docs. They are essentially a collection of function signatures. 回答1: Intel

问题 Looking for sample code to use tbb::concurrent_hash_map<K,V> from Intel Threading Building Blocks (TBB). I can insert, but I cannot seem to read the values back. The official Intel documentation appears to be somewhat lacking on the sample code side. Update The best docs are in "Pro TBB: C++ Parallel Programming with Threading Building Blocks" by Voss. Download this book for free (it's public domain). Ignore the Intel docs. They are essentially a collection of function signatures. 回答1: Intel

问题 I am trying to compile my TBB program using MinGW. I know that TBB is installed on my machine correctly because it compiles just fine in Visual Studio. Do I have to do something more to tell MinGW where TBB is installed? Or is just linking the library all that is needed? I am getting these error, when trying to compile using gcc. C:\Users\Owner\Desktop\New folder\OpenMP vs TBB>make g++ -LC:\tbb\tbb\lib\intel64\vc14 -O3 -o pps avl.o main.o parPlaneSweep.o -fopenmp -ltbb c:/mingw/bin/../lib/gcc

问题 I have a simple question, can C++11 thread_local be used with other parallel models. For example, can I use it within a function while using OpenMP or Intel TBB to parallel the tasks. Most such parallel programming models hide hardware threads behind higher level API. My instinct is that they all have to map their task schedulers into hardware threads. Can I expect that C++11 thread_local will have expected effect. A simple example is, void func () { static thread_local some_var = init_val;

问题 I read these threads: Getting Thread Building Blocks (Intel TBB) running on Linux with gcc unable to link Intel TBB library with libtbb in /usr/lib g++ can't find headers even when it's specified g++ cannot find header file g++ can't find headers but I did include them but still get this error: piCalc.cpp:8:17: fatal error: ttb.h: No such file or directory #include "ttb.h" My code to calculate pi starts with #include <iostream> #include "ttb.h" #include "parallel_for.h" Running Ubuntu 14.04

问题 When I run this code for n > 11 I get a debug error saying that abort() has been called. Using the visual studio debugger I found that it was on the task::spawn_root_and_wait(test); line of the code. I have no idea why it is doing this. When I ran the code using an array instead of a vector it ran fine but I was getting concurrency errors. Any advice? vector<int> p; class PartTask: public task { public: const int n; int* sum; PartTask(int n_, int* sum_) : n(n_), sum(sum_) {} task* execute() {

问题 Note: this is NOT a duplicate of this quesiton. Given a complex software parallelized with TBB, how do I completely switch off threading? I'm aware of the task_scheduler_init: int nthreads = tbb::task_scheduler_init::default_num_threads(); const char* cnthreads = getenv("TBB_NUM_THREADS"); if (cnthreads) nthreads = std::max(1, atoi(cnthreads)); tbb::task_arena arena(nthreads, 1); tbb::task_scheduler_init init(nthreads); However, this solution (related to this) does not switch off threading.