![where is the gnu octave executable where is the gnu octave executable](https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/47593/versions/17/previews/documentation/modules/deployment/html/udpMatlabExecutable.jpg)
- Where is the gnu octave executable portable#
- Where is the gnu octave executable free#
- Where is the gnu octave executable windows#
I don't have a hg id near the RC around so i can't tell the situation there. However if one is careful and does the test on octave-cli w64, one can read "LLVM ERROR: out of memory fatal caught signal Aborted - stoppfing myself" immediately before the window closes. The same tests in Octave 5.2.0 either result in correct rejection if there is insufficient memory or an acceptance.īTW, the win64 target also ends without an error message if too much memory is allocated. Test 3.) Octave closes immediately instead of rejecting: Test 2.) Octave closes immediately instead of rejecting: GNU Octave Version: 7.0.0 (hg id: b9bf7a6bb8de)Įrror: out of memory or dimension too large for Octave's index type Perhaps we could use that or at least borrow ideas from it.
Where is the gnu octave executable portable#
I recently noticed that Sundials(?) was using the portable snippets library for this job. Gnulib has macros for checking whether integer operations overflow, or we could (conditionally) use things like _builtin_mul_overflow to multiply dimensions and check for overflow. If we are not properly detecting possible overflow of the array size calculation, then we should be able to do a better job there. If I understand correctly, the problem is not that the memory allocation fails, but that we are failing to detect overflow when computing the total array size?Īllocating the block of memory should be done with operator new, so it should throw an error if the array can't be allocated and we should be catching that exception.īut if the calculation overflows, then I'm not sure what happens.
Where is the gnu octave executable windows#
with the better allocator in Windows 64bit, it is less likely to occur IIUC. That error can still occur on other platforms (see comment #22). (For comparison, the last Matlab version for that platform was R2015b.) I'm not saying I'm in favor of that. That could also mean that we might consider to stop supporting Windows 32bit. Maybe the next best thing is to at least try and rewrite the BISTs such that it is less likely that running "_run_test_suite_" triggers this situation on any of the platforms we support (with a "typical" setup). Unfortunately, I can't think of a good way of preventing this from happening or of a way of recovering from that.
Where is the gnu octave executable free#
If it can't find enough free or available memory at that time, the kernel sends a SIGKILL to the process it deems to be the most probable culprit. IIUC, the allocator tries to find "real" memory when the memory "reserved" by ´new´ is first used. I think, by "most" they mean at least Windows and Linux with default settings. On such systems, no exception of type std::bad_alloc is thrown. This means that malloc() or operator new return a valid pointer, even though there is not enough memory available at allocation time.
![where is the gnu octave executable where is the gnu octave executable](http://mae.uta.edu/~pben/mae2360/octave_screenshot.gif)
> Most desktop operating systems overcommit memory. But trying to read up on this, it really looks like Octave is a victim of memory overcommit here.