Parallel-processing Questions

The serial version takes less time than the parallel one. /*serial version*/ double start = omp_get_wtime(); for (i = 0; i <

I want to add 1 to a number(0) for 10 billion times. i tried two approaches - use a single thread (main thread) to do the work.

I have written a mpi program for an image processing filter. the main goal of this program is that a given filter is applied to an image file

I want to write my own scan function in mpi style which means i have to access the associative operation from mpi_op parameter. i can't really

I am using openacc to compare the execution time of a parallelized vs non-parallelized matrix multiplication operation on the cpu using pgi

I am forking a number of processes and i want to measure how long it takes to complete the whole task, that is when all processes forked are

I am trying to do parallel processing in python. i have a huge dataframe with more than 4m rows. so as a sample given below, i would

What can i do to prevent same file being read more then twice? for the background, i have below detail im trying to read list of

I have a requirement to execute several parallel functions first functions: database get operation ie find inventory

I need some help starting running some parallel code in python. i do not think that for my problem i can share executable code but still you can

I have a large list of sentences (~7 millions), and i want to extract the nouns from them. i used joblib

I am building a tool that executes puppeteer scripts from a json file. the challenge here is to implement parallel processing for mimicking

I am trying to call multiple functions in parallel in javascript. is it possible? for example: i want to get the sum of numbers(0 to 100). first,

In the crawler i am working on. it makes requests using pycurl multi. what kind of efficiency improvement can i expect if i switch to

I'm using pytesseract to do some ocr with a multiprocessing approach. the approach looks the following: tess_api =

The source code is as follows: const listener = new listener (); listener.start (); process.on ('sigterm', () => {

I wrote a program to crawl a website and because of amount of link that i have to crawl i use python multiprocessing. when my program starts

I am trying to add a couple of million rows to a table in exasol one column is supposed have increasing integer values (1 - xmio). i can't get my

I am looking for a python library which permits to : manage a task queue, run tasks in parallel (on one or several computers), permits that a

I have a function that processes one url at a time: def sanity(url): try: if 'media' in url[:10]: url =

I want to execute this function without having to rewrite all the code for each process. def executenode(node):

I have written the below code to parallelize two 'for' loops. #include <iostream> #include <omp.h> #define size 100

Please see the following code:- private sub picturebox1_paint(sender as object, e as painteventargs) handles picturebox1.paint

Is there any map-like method which doesn't load all sub-processes in memory at once, instead, if total cpu threads is four, it firstly load four

I have a function that does the following : take a file as input and does basic cleaning. extract the required items

Good morning, i have developed a simple merge-sort algorithm which i want to compare its performance when it is parallelized and not

Hi everyone i need to understand how to decompose an array to assign sub-blocks to a fixed number of processors. the case where the remainder

My project using requestslibrary to do

Hi i am trying to download files parallely using rxjava2 but some how it is not working my code below: private

I am trying to achieve parallelization of streams in nodejs, following code terminates on adding parallel method in the pipeline.

I'm trying to parallelize a for loop to speed-up my code, since the loop processing operations are all independent. following online

I am working on a 600.000 x 128 dataset, arranged in the following form with a hierarchical index (see left):

I would like to excecute a function multiple times on different threads with different function inputs. the problem is, that my function

I have a lambda function in node.js to send a push notification. in that function i need to iterate through my users sending a

I try to process an array with multiple worker threads, just like rayon's par_iter() function, but i want to have a mutable reference

I need to clarify something about node.js, promises, cpu and performance. to set up a context, i will talk about an asynchronous

I make parallel processing program using java.util.concurrent.forkjoinpool. while proceeding this program, i checked top and

Edit: i changed the cubic function and defined instead the actual optimization problem in which i noticed this issues. i also

I'm trying to model a biochemical process, and i structured my question as an optimization problem, that i solve using

I want to parallelize a function on a dataframe using python. i saw tutorials and i found some code.i have adjusted it to my needs. when i execute

Public static void main(string[] args) throws throwable { atomicinteger i = new atomicinteger(); intstream .generate(

Bool in_critical[2] = {false,false}; int turn; enter(int me, int other) { (s1:) in_critical[me]

I currently have a cron in laravel which takes data in chunk and call an api. the flow is below 1. cron runs every 5

I want to parallelize a for loop that includes some operations from pari/gp library, along with some other operations. however, using openmp with

I am trying to create a program that will ultimately be transposing a matrix in mpi so that it can be used in further computations. but right now

I wrote a serial and parallel code for matrix multiplication and i compute the time in the serial code and got 4 seconds. however, in the parallel

I'm trying to find the closest correlated color temperature to any arbitrary chromaticity. that is, for any (x, y) point in the following graph,

I'd like to parallelize a c-program which recursively calculates the size of a directory and its sub-directories, using openmp and c. my

Hello i'm trying to compare speeds between serial and parallel version of 'game of life'. i used sfml library to visualize game of life like this.

I have a section of code which is really time-consuming (~2s), and can be executed without the last one have finished.

My openmp program blocks on the first "for" loop of the following code, without any apparent reason. i'm simply trying to parallelize a bubble

I am fairly new to parallel programming; i am developing a program that deals with numbers in different bases and i want to parallelize the

I am trying to run the following on multiple cores for speed up using numba. unfortunately the function seems to run only on one core when i

I'm using a basler camera to take images and also using pypylon to interface camera software(pylon) with python i want to create two

How should i understand the parallelism built into data.table objects? from the getdtthreads function documentation, it

I am currently running seperately my deep reinforcement learning algorithms on my simulink model. they are connected by a tcp/ip connection.

As a disclaimer let me just say that i am a beginner with docker and hence the question might sound a bit "dummy". i am exploring

Our assignment involves creating a sorting algorithm that sorts an array of randomly generated integers. the array size if set as an argument when

I am trying to use python to call my function, my_function() 100 times. since my_function takes a while to run, i want

I have a dataframe (merged_coin_plink) with columns of 181 rsid numbers such as (rs2807367_g) - (example just shown with two of them).

I want to create a multiprocess for a quite complex function in python: i have tested this function with a less complex code like this:

I have matlab r2012b for ubuntu 64 bits. i have a intel core i3 cpu m 330 @ 2.13ghz × 4. i want to use parfor to

_logger.info("data size : "+saledata.size); saledata.parallelstream().foreach(data -> { saleaggrdata

I just started learning how to use openmp. i am trying to figure out

I tried to use pp(parallel python) like this: import glob import subprocess import pp def run(cmd): print cmd

We could abort a thread like this: thread thread = new thread(somemethod); . . . thread.abort();

I want to create a dataset b by processing a dataset a. therefore, every column in a (~ 2 mio.) has to be processed in a

I'm working on improving the speed of a program where performance is critical. currently it fails to process large data sets. there are many

Hello i have two node which names are node1 and node2 and i do this tests in one computer. my problem is

I would like to know if parallel file writing is efficient. indeed, a hard disk has one usable read head at a time. thus the hdd can to do one

I want to call two functions and get the results in parallel but one of the function's results needed to be adapted. so the function structure is:

I need to wait for tasks of two api callback functions and when tasks are done i would like to receive a callback so i can use data from both functions. i would