On Wed, Jun 19, 2013 at 09:20:15AM -0700, Victor Stinner wrote:
> """
> So, Victor, I'm interested to hear how the new API you're proposing
> will affect this solution I've come up with for pyparallel; I'm
> going to be absolutely dependent upon the ability to lock main
> thread pag
"""
So, Victor, I'm interested to hear how the new API you're proposing
will affect this solution I've come up with for pyparallel; I'm
going to be absolutely dependent upon the ability to lock main
thread pages as read-only in one fell-swoop -- am I still going to
be able to do
On Wed, Jun 19, 2013 at 08:45:55AM -0700, Victor Stinner wrote:
> > 1. All memory allocated in a parallel context is localized to a
> > private heap.
>
> How do you allocate memory in this "private" heap? Did you add new
> functions to allocate memory?
Yup:
_PyHeap_Malloc
> 1. All memory allocated in a parallel context is localized to a
> private heap.
How do you allocate memory in this "private" heap? Did you add new
functions to allocate memory?
Victor
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Hi Charles-François!
Good to hear from you again. It was actually your e-mail a few
months ago that acted as the initial catalyst for this memory
protection idea, so, thanks for that :-)
Answer below.
On Wed, Jun 19, 2013 at 07:01:49AM -0700, Charles-François Natali wrote:
> 201
2013/6/19 Trent Nelson :
>
> The new memory API discussions (and PEP) warrant a quick pyparallel
> update: a couple of weeks after PyCon, I came up with a solution for
> the biggest show-stopper that has been plaguing pyparallel since its
> inception: being able to detect the modifi
On 19 June 2013 23:10, Trent Nelson wrote:
> So, Victor, I'm interested to hear how the new API you're proposing
> will affect this solution I've come up with for pyparallel; I'm
> going to be absolutely dependent upon the ability to lock main
> thread pages as read-only in one fel
The new memory API discussions (and PEP) warrant a quick pyparallel
update: a couple of weeks after PyCon, I came up with a solution for
the biggest show-stopper that has been plaguing pyparallel since its
inception: being able to detect the modification of "main thread"
Python
