Unfortunately I don't have a simple example that reproduces the problem. So far, I've managed to whittle it down to an application running in a single process without dependencies on external packages.
-erik On Sun, Sep 21, 2014 at 1:04 PM, Tim Holy <tim.h...@gmail.com> wrote: > If you have/find a clean example, certainly posting an issue will make sense. > I > can't comment on whether the task switch during I/O is inevitable. > > --Tim > > On Sunday, September 21, 2014 10:25:11 AM Erik Schnetter wrote: >> I'm aware that Julia's threads are "green threads". The issue of >> thread safety still remains; if one thread is suspended in a critical >> region, another can enter that region. Storing handles in global data >> structures and incrementing global variables are such actions, and I'm >> not 100% sure that the respective region in serialize.jl are >> yield-free, even without my info output. I was surprised to see that >> I/O causes task switches -- maybe something else (hashing? >> dictionaries? creating new lambdas in C?) also causes task switches? >> >> gdb points to memory allocation routines in libc, called from gc.c or >> array.c. I assume that something overwrites memory, destroying libc >> malloc's data structures, leading to a crash later. >> >> -erik >> >> On Sun, Sep 21, 2014 at 5:26 AM, Tim Holy <tim.h...@gmail.com> wrote: >> > Hi Erik, >> > >> > First, one comment: tasks are not "true" (kernel) threads. Currently a >> > julia process is single-threaded. Tasks are better considered as a form >> > of cooperative multitasking. >> > >> > Yes, I've also found that I/O causes task switching. I don't personally >> > know a great way around this. One option would presumably be to have some >> > form of message queue; I am pretty sure that push!ing a new message on >> > it---as long as you don't need to touch I/O to create the message---would >> > not cause a switch. You can also use time() and other markers to indicate >> > the status of control flow. >> > >> > I haven't been reading things carefully enough to know whether there's any >> > history behind this, but if you haven't said so already...what does gdb >> > (or >> > equivalent) say about the segfault? >> > >> > --Tim >> > >> > On Saturday, September 20, 2014 08:24:59 PM Erik Schnetter wrote: >> >> I am trying to track down a segfault in a Julia application. Currently I >> >> am >> >> zooming in on "deserialize", as avoiding calling it seems to reliably >> >> cure >> >> the problem, while calling it (even if not using the result) seems to >> >> reliably trigger the segfault. >> >> >> >> I am using many threads (tasks), and deserialize is called concurrently. >> >> Is >> >> this safe? I've been bitten in the past by this; e.g. I've accidentally >> >> added an "info" statement into a sequence of statements that needs to be >> >> atomic, and I/O apparently switches threads. Is there a list of >> >> known-to-be-safe or known-to-be-unsafe functions? Is deserialization >> >> thread-safe in this respect? >> >> >> >> I am in particular deserializing function calls and lambda expressions, >> >> and >> >> I see global variables ("lambda_numbers", "known_lambda_data"). Are the >> >> respective data structures (WeakKeyDict and Dict) thread-safe? >> >> >> >> Is there a locking mechanism in Julia? This would temporarily only allow >> >> a >> >> single thread (task) to run, aborting with an error if this thread >> >> becomes >> >> unrunnable. In other words, calling "yield" when holding a lock would be >> >> a >> >> no-op. >> >> >> >> -erik > -- Erik Schnetter <schnet...@cct.lsu.edu> http://www.perimeterinstitute.ca/personal/eschnetter/