multithreading

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'm trying to solve the thread-ring problem. In each thread I read the token value if it is not mine, check if it's the end of the program if it is then finish the thread otherwise, read again and repeat if it is mine (i.e. has my id) then acquire the write lock, increase the value of the token, check if it's the end then tell main thread that I finished it and finish the current thread loop If it not over, then release the write lock, and start to read again There is no unlock. Is there any

问题 I'm trying to solve the thread-ring problem. In each thread I read the token value if it is not mine, check if it's the end of the program if it is then finish the thread otherwise, read again and repeat if it is mine (i.e. has my id) then acquire the write lock, increase the value of the token, check if it's the end then tell main thread that I finished it and finish the current thread loop If it not over, then release the write lock, and start to read again There is no unlock. Is there any

问题 I am writing code for NIST FRVT. NIST wants the program to run at max 2 threads(Only CPU, No GPU). I am using TensorFlow in my code but it always spawns much more than 2 threads. I tried this solution. It decreased the number of threads, but not up to 2 I'm getting this warning [WARNING] We've detected that your software may be threading or using other multiprocessing techniques during template creation. The number of threads detected was 9 and it should be 2. Per the API document,

问题 I am writing code for NIST FRVT. NIST wants the program to run at max 2 threads(Only CPU, No GPU). I am using TensorFlow in my code but it always spawns much more than 2 threads. I tried this solution. It decreased the number of threads, but not up to 2 I'm getting this warning [WARNING] We've detected that your software may be threading or using other multiprocessing techniques during template creation. The number of threads detected was 9 and it should be 2. Per the API document,

问题 I am writing code for NIST FRVT. NIST wants the program to run at max 2 threads(Only CPU, No GPU). I am using TensorFlow in my code but it always spawns much more than 2 threads. I tried this solution. It decreased the number of threads, but not up to 2 I'm getting this warning [WARNING] We've detected that your software may be threading or using other multiprocessing techniques during template creation. The number of threads detected was 9 and it should be 2. Per the API document,

问题 I would like to get the value returned from a function called by a scheduled event. Below is a simple example of what I would like to do. import time import sched schedule = sched.scheduler(time.time, time.sleep) def ret_this(): return "This." def schedthis(): schedule.enter(2,1,ret_this, ()) schedule.run() ## <- print returned value here if __name__ == "__main__": schedthis() I have tried many things like: schedule.enter(2,1,print ret_this, ()) or even: schedule.enter(2,1,ret = ret_this, ())

问题 I am trying to write a method that collects accelerometer sensor values over a specific time period and returns the average of the sensor readings for that period. It should be a synchronous i.e. blocking method that once it is called will block the calling thread for sometime and then will return the sensor average I did check the below similar questions but does not seem to have a proper working solution for my case: SensorEventListener in separate thread Android - how to run your sensor (

问题 I have a list of id's and I want to get data for each of those id in parallel from database. My below ExecuteAsync method is called at very high throughput and for each request we have around 500 ids for which I need to extract data. So I have got below code where I am looping around list of ids and making async calls for each of those id in parallel and it works fine. private async Task<List<T>> ExecuteAsync<T>(IList<int> ids, IPollyPolicy policy, Func<CancellationToken, int, Task<T>> mapper

问题 I have a list of id's and I want to get data for each of those id in parallel from database. My below ExecuteAsync method is called at very high throughput and for each request we have around 500 ids for which I need to extract data. So I have got below code where I am looping around list of ids and making async calls for each of those id in parallel and it works fine. private async Task<List<T>> ExecuteAsync<T>(IList<int> ids, IPollyPolicy policy, Func<CancellationToken, int, Task<T>> mapper