The program seems to exit without waiting for the file system to apply the inner changes when integrating with std::execution. I recently tried PPL, TBB, OpenMP
I need to read millions of records from a sqlserver table through a microservice that does block reads in parallel. each instantiated microservice performs the
I hope you are well, I have a problem with an opencl program, I execute the following program of the vector addition #define CL_USE_DEPRECATED_OPENCL_1_2APIS #i
I have access to a linux server with the following configuration: I have this one matrix with gamma distirbution range[0:12000] ,Col=30000 and Row=8000. In thi
I'm using the below code to get an array of elements from list that sum to value. However, it only using 1 CPU. My PC has 64 cores so I want to use 100% CPU to
I am trying to compute the number of triangles for each edge in an OpenMP parallel code. Following is the code snippet where I am doing it. While running with m
I have a script that need to call child scripts in parallel. Child scripts using az cli and create/modify Azure PaaS objects in different Azure subscriptions. T
I am currently developing an API that has several endpoints. One of them is to register data in a database, other endpoints are related to simple CRUD endpoints
I have a julia function that seems very amenable to optimization. Each iteration only manipulates the stuff in its particular index. Yet this function, when imp
I am working on writing a framework that basically does a data sanity check. I have a set of inputs like { "check_1": [ sql_query_1, sql_query_2 ], "check_2":
This is how I solved the following question, I want to be sure if my solution is correct? A multiprocessor consists of 100 processors, each capable of a peak ex
I have two tasks that take a fairly short time to compute (around half a second each). These two tasks (say A and B) are called repeatedly a large number of tim
Example code: import dask.bag as db from dask import delayed from dask.distributed import Client, LocalCluster N = 10**6 def load(): return delayed(range(N
I am using MCMCglmm to run a PGLMM model. Since the aim is not to make predictions, I'm using dredge (from MuMIn) to calculate model-weighted parameter values a
I have this code: #pragma acc kernels #pragma acc loop seq for(i=0; i<bands; i++) { mean=0; #pragma acc loop seq for(j=0; j<N; j++) m
I'm currently building server software in Java. I already have a running backend, which is build with Spring Boot. It has an REST interface to read and write da
I am starting to have a big project and I am currently using and including many of packages and .jl files: a = time() @info "Loading JuMP" using JuMP @info "Loa
tbb::parallel_for(0, 33, [&](int indexNum) { print(indexNum) }); hi, I expect the indexNum to be unique numbers and to print unique numbers. But in practic
I have a quick question with respect to the doParallel package in R. I have an optimize.R file where it contains roughly 18 functions A1, A2, A3, A4, ..., A18 w
Many are familiar with foreach() to assign a loop across many cores in parallel using %dopar%. However, in R how do you send a single job request for a variety