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Behavior of RCTD multi-cores
Firstly, thanks for the great tool. When I run RCTD with max_cores=8
, I found that RCTD initiated 8 jobs and each job occupied multiple cores. Actually, RCTD occupied all cores available (50 in taotal) even I limit the max number cores. Can you help?
Much thanks, FY
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] sp_2.1-3 SeuratObject_4.1.0 Seurat_4.1.1 spacexr_2.2.1
loaded via a namespace (and not attached):
[1] nlme_3.1-153 spatstat.sparse_3.0-2 matrixStats_0.61.0
[4] RcppAnnoy_0.0.19 doParallel_1.0.16 RColorBrewer_1.1-3
[7] httr_1.4.7 sctransform_0.3.3 tools_4.1.0
[10] utf8_1.2.4 R6_2.5.1 irlba_2.3.5
[13] rpart_4.1-15 KernSmooth_2.23-20 uwot_0.1.11
[16] mgcv_1.8-38 rgeos_0.5-8 lazyeval_0.2.2
[19] colorspace_2.1-0 tidyselect_1.2.0 gridExtra_2.3
[22] compiler_4.1.0 progressr_0.9.0 cli_3.6.2
[25] plotly_4.10.0 scales_1.3.0 lmtest_0.9-39
[28] spatstat.data_3.0-1 ggridges_0.5.3 pbapply_1.5-0
[31] goftest_1.2-3 stringr_1.5.1 digest_0.6.34
[34] spatstat.utils_3.0-3 pkgconfig_2.0.3 htmltools_0.5.7
[37] parallelly_1.36.0 fastmap_1.1.1 htmlwidgets_1.5.4
[40] rlang_1.1.3 shiny_1.8.0 generics_0.1.2
[43] zoo_1.8-9 jsonlite_1.8.8 spatstat.random_3.1-5
[46] ica_1.0-2 dplyr_1.1.4 magrittr_2.0.3
[49] patchwork_1.1.1 Matrix_1.3-4 Rcpp_1.0.8.3
[52] munsell_0.5.0 fansi_1.0.6 abind_1.4-5
[55] reticulate_1.24 lifecycle_1.0.4 stringi_1.8.3
[58] MASS_7.3-57 Rtsne_0.15 plyr_1.8.6
[61] grid_4.1.0 parallel_4.1.0 listenv_0.8.0
[64] promises_1.2.1 ggrepel_0.9.1 deldir_1.0-6
[67] miniUI_0.1.1.1 lattice_0.20-45 cowplot_1.1.1
[70] splines_4.1.0 tensor_1.5 pillar_1.9.0
[73] igraph_1.2.11 spatstat.geom_3.2-4 future.apply_1.8.1
[76] reshape2_1.4.4 codetools_0.2-18 leiden_0.3.9
[79] glue_1.7.0 data.table_1.14.2 png_0.1-8
[82] vctrs_0.6.5 httpuv_1.6.14 foreach_1.5.1
[85] polyclip_1.10-0 gtable_0.3.4 RANN_2.6.1
[88] purrr_1.0.2 spatstat.core_2.4-0 tidyr_1.3.1
[91] scattermore_0.8 future_1.33.1 ggplot2_3.4.4
[94] mime_0.12 xtable_1.8-4 later_1.3.2
[97] survival_3.2-13 viridisLite_0.4.2 tibble_3.2.1
[100] iterators_1.0.13 cluster_2.1.2 globals_0.16.2
[103] fitdistrplus_1.1-6 ellipsis_0.3.2 ROCR_1.0-11