parallel-processing

问题 I use the ForkJoinPool to execute tasks in parallel. When I look at the logout put of my program it seems that the ForkJoinPool creates a huge amount of workers to execute my tasks (there are log entries that look like this: 05 Apr 2016 11:39:18,678 [ForkJoinPool-2-worker-2493] <message> ). Is there a worker for each tasks created which is then executed according to the number of parallelism I configured in the ForkJoinPool or am I doing something wrong? Here is how I do it: public class

问题 I'm new to the concept of concurrent and parallel programing in general. I'm trying to calculate Pi using Monte Carlo method in C. Here is my source code: #include <stdio.h> #include <stdlib.h> #include <math.h> #include <time.h> int main(void) { long points; long m = 0; double coordinates[2]; double distance; printf("Enter the number of points: "); scanf("%ld", &points); srand((unsigned long) time(NULL)); for(long i = 0; i < points; i++) { coordinates[0] = ((double) rand() / (RAND_MAX));

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am

问题 I am running a gbm model using the caret package and trying to get it working using parallel processing with the doredis package. I can get the backend workers all up and running, but am having issues when they recombine into the final model. I am getting this error: Error in foreach(j = 1:12, .combine = sum, .multicombine = TRUE) %dopar% : target of assignment expands to non-language object This is my first time trying to run the foreach loop (let alone on a complex problem like gbm) and am