parallel-processing

问题 My code: #include <cstdio> #include "omp.h" int main() { omp_set_num_threads(4); #pragma omp parallel { #pragma omp parallel for // Adding "parallel" is the cause of the problem, but I don't know how to explain it. for (int i = 0; i < 6; i++) { printf("i = %d, I am Thread %d\n", i, omp_get_thread_num()); } } return 0; } The output that I am getting: i = 0, I am Thread 0 i = 1, I am Thread 0 i = 2, I am Thread 0 i = 0, I am Thread 0 i = 1, I am Thread 0 i = 0, I am Thread 0 i = 1, I am Thread

问题 Sometimes my Python Gekko application is solved better with one solver over another. It is difficult to predict which solver will perform best. Because Python Gekko supports local or remote solves on different servers with m.GEKKO(server='http://{address}') , is it possible to create a parallel Gekko application that will try all the solvers simultaneously on any number of computers (including local) and then kill the other processes when the first one returns successfully? I've been looking

问题 Sometimes my Python Gekko application is solved better with one solver over another. It is difficult to predict which solver will perform best. Because Python Gekko supports local or remote solves on different servers with m.GEKKO(server='http://{address}') , is it possible to create a parallel Gekko application that will try all the solvers simultaneously on any number of computers (including local) and then kill the other processes when the first one returns successfully? I've been looking

问题 I'm running the following MD5 check on 500 million files to check for duplicates. The scripts taking forever to run and I was wondering how to speed it up. How could I speed it up? Could I use a try catch loop instead of contains to throw an error when the hash already exists instead? What would you all recommend? $folder = Read-Host -Prompt 'Enter a folder path' $hash = @{} $lineCheck = 0 Get-ChildItem $folder -Recurse | where {! $_.PSIsContainer} | ForEach-Object { $lineCheck++ Write-Host

问题 I'm running the following MD5 check on 500 million files to check for duplicates. The scripts taking forever to run and I was wondering how to speed it up. How could I speed it up? Could I use a try catch loop instead of contains to throw an error when the hash already exists instead? What would you all recommend? $folder = Read-Host -Prompt 'Enter a folder path' $hash = @{} $lineCheck = 0 Get-ChildItem $folder -Recurse | where {! $_.PSIsContainer} | ForEach-Object { $lineCheck++ Write-Host

问题 I want to call 8 methods in a method. 2 methods inside of these 8 methods is one hole task, and the remaining 6 methods is another hole task. I want to process these 2 tasks exactly at the same time as parallel. As I know I can do it with threads. But to be honest either I couldn't see an example which is similar to my goal, or I couldn't understand the example if I've seen. Could you briefly show me an example in order me to finish my goal? Thanks, 回答1: Somethings like this maybe: import

问题 I want to call 8 methods in a method. 2 methods inside of these 8 methods is one hole task, and the remaining 6 methods is another hole task. I want to process these 2 tasks exactly at the same time as parallel. As I know I can do it with threads. But to be honest either I couldn't see an example which is similar to my goal, or I couldn't understand the example if I've seen. Could you briefly show me an example in order me to finish my goal? Thanks, 回答1: Somethings like this maybe: import

问题 I wish to run for loop in parallel process . The result I have with the for loop R code is good to my taste but will be applying it to a very huge data thus, the timing of the execution is slow. library(forecast) library(dplyr) arima_order_results = data.frame() seed_out2 <- c(1, 16, 170, 178, 411, 630, 661, 1242, 1625, 1901, 1926, 1927, 1928, 2170, 2779, 3687, 4139, 4583, 4825, 4828, 4829, 4827, 5103, 5211, 5509, 5561, 5569, 5679, 6344, 6490, 6943, 6944, 6945, 6946, 6948, 6950, 6951, 6952)

问题 I took a course in CUDA parallel programming and I have seen many examples of CUDA thread configuration where it is common to round up the number of threads needed to the closest multiple of 32. I understand that threads are grouped into warps, and that if you launch 1000 threads, the GPU will round it up to 1024 anyways, so why do it explicitly then? 回答1: The advice is generally given in the context of situations where you might conceivably choose various threadblock sizes to solve the same

问题 I have a lot of packages to install in my pip requirement and I'd like to process them in parallell. I know that, for example, that if I want n parallel jobs from make I have to write make -j n ; is there an equivalent command for pip requirements? Thanks! 回答1: Sometimes pip uses make to build dependencies. If before it starts you set MAKEFLAGS like: export MAKEFLAGS="-j$(nproc)" pip install -r requirements.txt This may help building native dependencies. Note: nproc resovles as the number of