memory not mapped

[hzongyao]

[1] "Segmentation of subclone : 1"
[1] "Segmentation of subclone : 2"
[1] "Segmentation of subclone : 3"
[1] "Segmentation of subclone : 4"
[1] "Segmentation of subclone : 5"
[1] "Segmentation of subclone : 6"
[1] "falseSubclone"
[1] "Segmentation of subclone : 7"
[1] "Segmentation of subclone : 8"
[1] "Segmentation of subclone : 9"
[1] "Segmentation of subclone : 10"
[1] "Segmentation of subclone : 11"

*** caught segfault ***
address 0x5e9e2b3e28a0, cause 'memory not mapped'

Traceback:
1: vegaMC_R(mtx = mtx, output_file_name = paste("./output/", sample, "vega_output"), beta = beta_vega)
2: getBreaksVegaMC(mtx_vega, CNAmat[, 3], paste0(samp, "_subclone", i), beta_vega = 0.5)
3: subclonesTumorCells(res_class$tum_cells, res_class$CNAmat, sample, par_cores, beta_vega, res_proc, NULL, mtx_vega, organism = organism)
4: subcloneAnalysisPipeline(res_proc$count_mtx, res_class, res_proc, mtx_vega, sample, par_cores, classDf, beta_vega, plotTree, organism)
5: pipelineCNA(count_mtx = count_mtx, norm_cell = normal_cell, sample = "multi_Epithelial", par_cores = 5, SUBCLONES = TRUE, beta_vega = 0.5, ClonalCN = TRUE, plotTree = TRUE, AdditionalGeneSets = NULL, SCEVANsignatures = TRUE, organism = "human")

Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace
Selection:

[withermatt]

Try reducing the number of parallel cores? Maybe you are running out of memory.