Displaying 2 results from an estimated 2 matches for "3844m".
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3844
2007 Aug 16
2
Possible memory leak with R v.2.5.0
...trigger (Mb) max used (Mb)
Ncells 377925 20.2 6819934 364.3 604878 32.4
Vcells 88857341 678.0 240204174 1832.7 90689707 692.0
>
output from top is:
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+
COMMAND
1199 waltman 17 0 3844m 3.7g 3216 S 0.0 23.6 29:58.74 R
Note, the relevant call that invoked my function is:
test <- sapply( c(1:10), function(x) get.vars.for.cluster(
clusterStack[[x]], opt="rows" ) )
Finally, for fun, I rm()'d all variables with the rm( list=ls() )...
2007 Aug 16
0
Possible memory leak with large matrices in R v.2.5.0
...used (Mb) gc trigger (Mb) max used (Mb)
Ncells 377925 20.2 6819934 364.3 604878 32.4
Vcells 88857341 678.0 240204174 1832.7 90689707 692.0
>
output from top is:
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
1199 waltman 17 0 3844m 3.7g 3216 S 0.0 23.6 29:58.74 R
Note, the relevant call that invoked my function is:
test <- sapply( c(1:10), function(x) get.vars.for.cluster(
clusterStack[[x]], opt="rows" ) )
Finally, for fun, I rm()'d all variables with the rm( list=ls() )
command, and then called...