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
Would someone be able to clarify what each of these things actually are? From what I gathered, nodes are computing points within the cluster, essentially a sing
It might be a silly question but, with OpenMP you can achieve to distribute the number of operations between all the cores your CPU has. Of course, it is going
I have two tensors that are batches of matrices: x = torch.randn(100,10,10) y = torch.randn(100,2,2) I want to parallelize the kronecker on each matrix, not d
I have a model.predict()-method and 65536 rows of data which takes about 7 seconds to perform. I wanted to speed this up using the joblib.parallel_backend tooli
I am running a python script which uses scipy.optimize.differential_evolution to find optimum parameters for given data samples. I am processing my samples seq
I have two programs server and client. server terminates after an unknown duration. I want to run client in parallel to server (both from the same Bash script)
This is probably very basic, but I am not a Java person. Here is my processing code which simply prints and sleeps: private static void myProcessings(int va