memory allocation problems
Like Sean is aying, you most likely are using _way_ more memory than 1.2 GB. However, if you a re running 32bit R (which is the case if you use the CRAN binary) R can only access 2GB, so you can squeeze a little more out of your machine by switching to a 64bit version of R. You can check what version you have by typing R> .Machine and look for sizeof.pointer - if it is 4 you are using 32bit, if it is 8 you are using 64 bit. If you want the 64 bit version of R you can download a binary from Simon's page: r.research.att.com , but you need to also get the preview build of GCC 4.2 which is available from Apple's developer site (although hard to find these days). Kasper
On Jun 30, 2008, at 3:23 AM, Sean Davis wrote:
On Sun, Jun 29, 2008 at 6:35 AM, Antonio P. Ramos <ramos.grad.student at gmail.com> wrote:
Hi everybody, I have a memory allocation problem while using R in my macbook pro, which runs the latest leopard. I'm trying to run a monte carlo simulation with 500,000 interactions, but the machine failed: Starting MCMC Iterations... Error: cannot allocate vector of size 1.2 Gb R(176,0xa0640fa0) malloc: *** mmap(size=1239990272) failed (error code=12) *** error: can't allocate region *** set a breakpoint in malloc_error_break to debug R(176,0xa0640fa0) malloc: *** mmap(size=1239990272) failed (error code=12) *** error: can't allocate region *** set a breakpoint in malloc_error_break to debug Since my machine has 4 Gb of memory, and since I'm not running nothing in addition to the simulation, I found it strange. This is my machine: Model Identifier: MacBookPro3,1 Processor Name: Intel Core 2 Duo Processor Speed: 2.4 GHz Memory: 4 GB Unfortunately, I could figure it out how to solve it. Any help?
The error message above means that R failed to allocate a vector of size 1.2Gb. That doesn't mean that R was using only 1.2 Gb, but that it was trying to allocate a new block of memory of that size in addition to the memory that was already in use. The system on the Mac uses a fair amount of memory; R was probably using memory as well. In short, you probably need more memory or be more clever about how you are using the memory you have. Without more details about what you are doing, it is difficult to know how to change the latter. Sean
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