You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm running monocle on a linux server, and when I run BEAM and differentialGeneTest, it will use multiple (64) cores to run even if I have set cores to 1, and it increased to 256 when I set cores to 4. I wonder why this happens, and is there a way to limits cores that actually used.
R version 4.4.1 (2024-06-14)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 20.04.6 LTS
I'm running monocle on a linux server, and when I run BEAM and differentialGeneTest, it will use multiple (64) cores to run even if I have set cores to 1, and it increased to 256 when I set cores to 4. I wonder why this happens, and is there a way to limits cores that actually used.
R version 4.4.1 (2024-06-14)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 20.04.6 LTS
other attached packages:
[1] ggpointdensity_0.1.0 ComplexHeatmap_2.22.0 AUCell_1.28.0 ggsci_3.2.0 ggalluvial_0.12.5
[6] igraph_2.1.1 monocle_2.34.0 DDRTree_0.1.5 irlba_2.3.5.1 VGAM_1.1-12
[11] Biobase_2.66.0 BiocGenerics_0.52.0 clusterProfiler_4.14.3 data.table_1.16.2 RANN_2.6.2
[16] stringr_1.5.1 RcppParallel_5.1.9 RcppZiggurat_0.1.6 Rcpp_1.0.13-1 plyr_1.8.9
[21] Matrix_1.7-1 magrittr_2.0.3 HiClimR_2.2.1 dplyr_1.1.4 doParallel_1.0.17
[26] iterators_1.0.14 foreach_1.5.2 pheatmap_1.0.12 ggpubr_0.6.0 ggplot2_3.5.1
[31] Seurat_5.1.0 SeuratObject_5.0.2 sp_2.1-4
The text was updated successfully, but these errors were encountered: