Hi David,
On 16 October 2017 at 21:18, David Callahan wrote:
> folly:fibers (https://github.com/facebook/folly/tree/master/folly/fibers )
> is a C++ package for lightweight, cooperatively scheduled threads. We have
> an application which extends this to CPython by adding the following
> save/re
Heh, sure
Did you look whether such functionality can be replicated with
PyThreadState_New and PyThreadState_Swap?
Cheers,
fijal
On Tue, Oct 17, 2017 at 7:57 PM, David Callahan wrote:
> Hi Maciej, thanks for the reply
>
> I have been warned before about the performance of cpyext but we have
>
Hi Maciej, thanks for the reply
I have been warned before about the performance of cpyext but we have hundreds
of source dependencies and removing such reliance does not help us in the short
term. Thus, performance is not a concern yet since we are not even at a point
to run the code and know
Hi David.
You're probably completely aware that such calls (using cpyext) would
completely kill performance, right? I didn't look in detail, but in
order to get performance, you would need to write such calls using
cffi.
Best regards,
Maciej Fijalkowski
On Mon, Oct 16, 2017 at 7:18 PM, David Cal
folly:fibers (https://github.com/facebook/folly/tree/master/folly/fibers ) is
a C++ package for lightweight, cooperatively scheduled threads. We have an
application which extends this to CPython by adding the following save/restore
code around task function invocation:
auto tstate = PyT
