Use the libraries if they exist in ../lib/linux_x86_64 or similar, so
that you can run "make deps && make full" to get a full static build.
Note that install_deps.sh is still the only officially supported way to
build Blender dependencies on Linux, but this may be useful to some.
Differential Revision: https://developer.blender.org/D2980
Remove the critical OMP sections used to protect mem allocation.
First one can be done in a separate loop before main, parallelized one.
Second one only affect 'private' data, so we only need to ensure
guardedalloc thread safety is enabled.
This is committed as separated step to ease troubleshooting in case
bisecting becomes necesary.
Gives about 40% speedup of object which has simple-ish deformation applied
on top of subdivided mesh.
This might easily happen with single character animation.
Helps in cases of not very complex scenes and lots of system threads available.
A bit hard to measure change on it's own, it works best with the upcoming
changes and gives measurable improvements.
Mutex is now local to particular CCGDM, and guarding edge hash which is only
used by a single function only. There is no need to acquire read lock after
edge hash was created.
This is quite common to have 64GB memory now, and even 128. There is no reason
to add any artificial caps on the cache and undo memory here. We can not protect
against using too much memory in one cases and allow use of full computer
potential in others.
Now 32 bit will use 2GB max (as it used to be), but 64bit will use whatever
number of megabytes fits into integer.
Reviewers: campbellbarton, mont29
Subscribers: sebastian_k
Differential Revision: https://developer.blender.org/D2972
This reverts change to BKE_brush_add,
callers now remove the extra user.
Note this isn't very convenient for callers but
is consistent with other ID types.
In the future we will probably remove this and have new
ID's created with zero users.
When using a tablet, detecting absolute motion only worked
when activating a tool with the tablet.
Pressing Enter to run a tool for e.g. would use relative motion.
Now store is_motion_absolute in the event,
set for new events based on the most recent motion events.
The idea is to support following: allow doing parallel for on a small range,
each iteration of which takes lots of compute power, but limit such range to
a subset of threads.
For example, on a machine with 44 threads we can occupy 4 threads to handle
range of 64 elements, 16 elements per thread, where each block of 16 elements
is very complex to compute.
The idea should be to use this setting instead of global use_threading flag,
which is only based on size of array. Proper use of the new flag will improve
threadability.
This commit only contains internal task scheduler changes, this setting is not
used yet by any areas.
Now all the fine-tuning is happening using parallel range settings structure,
which avoid passing long lists of arguments, allows extend fine-tuning further,
avoid having lots of various functions which basically does the same thing.
