Question

How to get reliably a complete sessionInfo in mclapply/pbmclapply?

score 73 · Answer 1 · 2023-12-05T18:12:43.563000

73

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How to get reliably a complete sessionInfo in mclapply/pbmclapply?

Published on 05 December 2023 at 18:12

score 150 · Answer 2 · 2023-11-13T13:49:22.900000

150

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Get a backtrace from an error in `mclapply`

Published on 13 November 2023 at 13:49

score 333 · Answer 3 · 2023-11-04T05:32:28.440000

333

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Difference between the working process of `mclapply` and `foreach()` loop

Published on 04 November 2023 at 05:32

score 121 · Answer 4 · 2023-10-18T17:27:53.473000

121

Views

Issue with `mclapply` in R package S4 implementation when passing strings

Published on 18 October 2023 at 17:27

score 136 · Answer 5 · 2023-10-15T17:46:23.340000

136

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How do I bootstrap correlations between two data frames?

Published on 15 October 2023 at 17:46

score 56 · Answer 6 · 2023-09-08T20:17:08.107000

56

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How can I optimize this for loop to run faster using lapply and parallelization?

Published on 08 September 2023 at 20:17

score 62 · Answer 7 · 2023-07-18T20:41:42.907000

62

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R: inconsistent random number generation in parallel simulation with mclapply

Published on 18 July 2023 at 20:41

score 55 · Answer 8 · 2023-07-14T18:04:31.877000

55

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R mclapply return serialization object size limit using version 4.3.0 on Apple M1 aarch64-apple-darwin20

Published on 14 July 2023 at 18:04

score 59 · Answer 9 · 2023-02-03T11:14:37.907000

59

Views

Is there any simple task that allows me to understand whether my embarassingly parallel program works fine?

Published on 03 February 2023 at 11:14

score 79 · Answer 10 · 2022-08-09T21:04:31.773000

79

Views

mclapply() instead of nested for loops

Published on 09 August 2022 at 21:04

score 74 · Answer 11 · 2022-08-04T14:53:02.233000

74

Views

Apply function in matrix elements of a list in R

Published on 04 August 2022 at 14:53

score 54 · Answer 12 · 2022-06-23T18:22:08.320000

54

Views

how to use lapply to get exactly same random number from mclapply

Published on 23 June 2022 at 18:22

score 262 · Answer 13 · 2022-05-17T10:09:54.193000

262

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Is there a way to prevent parallel::mclapply() accessing the contents of the global environment?

Published on 17 May 2022 at 10:09

score 860 · Answer 14 · 2022-03-17T06:38:49.577000

860

Views

Set OpenMP threads for all dependencies in R package

Published on 17 March 2022 at 06:38

score 113 · Answer 15 · 2021-11-15T21:05:57.697000

113

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how to make mclapply in Rscript maximize use of all available linux cores?

Published on 15 November 2021 at 21:05

score 115 · Answer 16 · 2021-10-13T05:24:48.740000

115

Views

Using "sample" within mclapply in R not working properly

Published on 13 October 2021 at 05:24

score 138 · Answer 17 · 2021-10-07T08:28:52.793000

138

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In Parallel processing, select all the rows which contains a specific keyword in r

Published on 07 October 2021 at 08:28

score 336 · Answer 18 · 2021-05-23T17:29:31.967000

336

Views

Parallel processing in R using parallel package - not reproducible with different number of cores

Published on 23 May 2021 at 17:29

score 1.3k · Answer 19 · 2021-05-23T02:50:51.120000

1.3k

Views

Parallel processing in R - setting seed with mclapply() vs. pbmclapply()

Published on 23 May 2021 at 02:50

score 172 · Answer 20 · 2021-05-22T21:21:14.100000

172

Views

Parallel processing in R with "parallel" package - unpredictable runtime

Published on 22 May 2021 at 21:21

List Question

How to get reliably a complete sessionInfo in mclapply/pbmclapply?

Get a backtrace from an error in `mclapply`

Difference between the working process of `mclapply` and `foreach()` loop

Issue with `mclapply` in R package S4 implementation when passing strings

How do I bootstrap correlations between two data frames?

How can I optimize this for loop to run faster using lapply and parallelization?

R: inconsistent random number generation in parallel simulation with mclapply

R mclapply return serialization object size limit using version 4.3.0 on Apple M1 aarch64-apple-darwin20

Is there any simple task that allows me to understand whether my embarassingly parallel program works fine?

mclapply() instead of nested for loops

Apply function in matrix elements of a list in R

how to use lapply to get exactly same random number from mclapply

Is there a way to prevent parallel::mclapply() accessing the contents of the global environment?

Set OpenMP threads for all dependencies in R package

how to make mclapply in Rscript maximize use of all available linux cores?

Using "sample" within mclapply in R not working properly

In Parallel processing, select all the rows which contains a specific keyword in r

Parallel processing in R using parallel package - not reproducible with different number of cores

Parallel processing in R - setting seed with mclapply() vs. pbmclapply()

Parallel processing in R with "parallel" package - unpredictable runtime

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