Memory problem
It is hard to tell from the information that you have provided. Do you have a list of the sizes of all the objects that you have in memory? Are you releasing large objects at the end of each simulation run? Are you using 'gc' to garbage collect any memory after deallocating objects? Collect some additional information with a simple function like below: f_mem_stats <- function(memo='') cat(memo, proc.time(), memory.size(), '\n')
f_mem_stats(2)
2 2.85 11.59 85444.93 NA NA 39.08 This will print out what you pass in as a parameter, e.g., the iteration number, and then outputs the amount of CPU and memory used so far. I use this all the time to keep track of resource consumption in long running scripts. Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. On Wed, Apr 6, 2016 at 7:39 AM, Amelia Marsh via R-help <
r-help at r-project.org> wrote:
Dear R Forum, I have about 2000+ FX forward transactions and I am trying to run 1000 simulations. If I use less no of simulations, I am able to get the desired results. However, when I try to use more than 1000 simulations, I get following error.
sorted2 <- ddply(sorted, .(currency_from_exch, id), mutate,
change_in_mtm_bc = mtm_bc - mtm_bc[1]) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: Reached total allocation of 3583Mb: see help(memory.size) 2: Reached total allocation of 3583Mb: see help(memory.size) 3: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 4: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 5: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 6: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 7: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) 8: In output[[var]][rng] <- df[[var]] : Reached total allocation of 3583Mb: see help(memory.size) When I checked -
memory.size()
[1] 846.83
memory.limit()
[1] 3583 The code is bit lengthy and unfortunately can't be shared. Kindly guide how this memory probelm can be tackled? I am using R x64 3.2.0 Regards Amelia
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