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Questions tagged [doparallel]

R package that is a “parallel backend” for the foreach package. It provides a mechanism needed to execute foreach loops in parallel.

doparallel
0 votes
0 answers
27 views

How can I handle dead workers in R-future parallel processing

I want to fit multiple models to each participant in my data. I want to parallelize this by applying the fitting function in parallel to the data of multiple participants. For one of the models, the ...
FelixSchweigkofler's user avatar
0 votes
0 answers
20 views

Error in {task 1 failed - [readValues] cannot read values in R doParallel "foreach"

I am trying to speed up an intervisibility calculation between landscape viewpoints (X, Y, height), using a rasterprofile and line of sight functions over a digital elevation model. I ran a large-...
Adela's user avatar
  • 36
1 vote
1 answer
64 views

How would I bootstrap the lmer model? [closed]

I am trying to bootstrap (non-parametric) my lmer model, but I am struggling as to how to specify the formula when the response variables are in columns 18:1543 ( 5:10 for example data). I've tried ...
Adam9's user avatar
  • 45
0 votes
0 answers
18 views

Error with parallelize='variables' using "missForest" in R

I've started using missForest to potentially replace rfImpute and while doing some testing with both synthetic and real data and the different flavours of parallelization strategies offered by ...
MarkH's user avatar
  • 320
3 votes
1 answer
117 views

Utilizing multiple nodes for parallel computing in R

I have access to a HPC system. Let's say I have three nodes/system available. Details of each node is as follows: scontrol show node Arch=x86_64 CoresPerSocket=10 CPUAlloc=20 CPUTot=20 CPULoad=...
Arnoneel Sinha's user avatar
0 votes
0 answers
29 views

how do I resolve this system singular error?

This is a question about futuremice. I am trying to run the mice MI in parallel. This is my code. imp_df <- futuremice(df, pred = pred_matrix, meth = ...
Sundown Brownbear's user avatar
3 votes
2 answers
102 views

Shared memory in parallel foreach using set.seed

As seen in this question, in Windows it is not possible to run parallel processes with shared memory in R. Therefore, I have devised the following methodology, using a series of set.seed(), to ...
BMBE's user avatar
  • 43
0 votes
1 answer
23 views

R crashes with segfault in doing keras::unserialize_model() in foreach loop from doParallel

I'm having a problem where R crashes when calling keras::unserialize_model() in a doParallel foreach loop. I have to sanitize this code, so hopefully I don't munge anything. And I'm not an R developer;...
MikeB's user avatar
  • 1,528
2 votes
2 answers
80 views

How to pass once the full dataset to one worker and specific subsets to the other workers in foreach loop using isplit()

I am currently fitting a set of models on a subset of data for each level of a factor variable. As the models take a long time to run, I use the foreach and doParallel package to estimate the set of ...
Flap's user avatar
  • 199
0 votes
0 answers
23 views

doParallel foreach with many for-loops within the foreach

I am stuck with an issue when trying to parallelize a function that I have coded. The function contains several for loops within for loops (which is required to fill multiple arrays with data). I have ...
Rkid's user avatar
  • 33
1 vote
0 answers
73 views

R foreach do parallel %dopar% performance problems (and possibly affecting entire computer)

Note: I recognize this is a slightly more amorphous/non-replicable problem than is ideal, but I feel it is worthwhile given the other instances we've seen on stackoverflow and potential general ...
Sam Asin's user avatar
  • 173
0 votes
2 answers
98 views

StopIteration error in nested foreach/for loop

I've got a nasty error which only shows up when you ask R with geterrmessage() to actually display it. It also is no problem as long as you run the code in an interactive console session but when you ...
MarkH's user avatar
  • 320
1 vote
1 answer
29 views

Parallel processing in R using multiple cores and using a function

I would like to run the apply function (my_func2) more efficiently by using parallelization in R across multiple imputed datasets by using all 8 cores on my computer. Each imputed dataset is about 1.7 ...
user22829834's user avatar
0 votes
0 answers
20 views

uses a function that calls another in a foreach loop dopar

I have two functions myfunct1 and myfunct2. myfunct1 uses the myfunct2 function I want to use these two functions in a foreach()%dopar%{} loop but i get a error: Error in {: task 1 failed - "...
dia05's user avatar
  • 163
0 votes
1 answer
42 views

Continue to interact when there is a long calculate

I have code that is taking a long time to execute and I would like to know if there is a way to continue interacting with other elements of the application? When you press the "go" button, a ...
dia05's user avatar
  • 163

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