* Internals: Move getenvStr to verilatedos. No functional change intended.
* Fix POS34-C. Do not call putenv() with a pointer to an automatic variable as the argument.
Signed-off-by: Arkadiusz Kozdra <akozdra@antmicro.com>
Add a new data-structure V3DfgCache, which can be used to retrieve
existing vertices with some given inputs vertices. Use this in
V3DfgPeephole to eliminate the creation of redundant vertices.
Overall this is performance neutral, but is in prep for some future
work.
* Ignore CLion project files and CMake outputs
* Supporting stripping file path that contains backslash
* Set /bigobj flag and increase stack size for windows platform
* Fix MSVC warnings
* Add VL_ASSERT_CAPABILITY; add assumeLocked and pretendUnlock to V3Mutex.
* Pass jobs as template-arguments and use std::packaged_task.
* Add and use V3ThreadPool::ScopedExclusiveAccess.
Various optimizations to speed up MTasks coarsening (which is the long
pole in the multi-threaded scheduling of very large designs).
The biggest impact ones:
- Use efficient hand written Pairing Heaps for implementing priority
queues and the scoreboard, instead of the old SortByValueMap. This
helps us avoid having to sort a lot of merge candidates that we will
never actually consider and helps a lot in performance.
- Remove unnecessary associative containers and store data structures
(the heap nodes in particular) directly in the object they relate to.
This eliminates a huge amount of lookups and helps a lot in
performance.
- Distribute storage for SiblingMC instances into the LogicMTask
instances, and combine with the sibling maps. This again eliminates
hash table lookups and makes storage structures smaller.
- Remove some now bidirectional edge maps, keep only the forward map.
There are also some other smaller optimizations:
- Replaced more unnecessary dynamic_casts with static_casts
- Templated some functions/classes to reduce the number of static
branches in loops.
- Improves sorting of edges for sibling candidate creation
- Various micro-optimizations here and there
This speeds up MTask coarsening by 3.8x on a large design, which
translates to a 2.5x speedup of the ordering pass in multi-threaded
mode. (Combined with the earlier optimizations, ordering is now 3x
faster.)
Due to the elimination of a lot of the auxiliary data structures, and
ensuring a minimal size for the necessary ones, memory consumption of
the MTask coarsening is also reduced (measured up to 4.4x reduction
though the accuracy of this is low).
The algorithm is identical except for minor alterations of the order
some candidates are added or removed, this can cause perturbation in the
output due to tied scores being broken based on IDs.
Wilson Snyder
Moubarak Jeje
Bartłomiej Chmiel
Arkadiusz Kozdra
Geza Lore
Rasfunk
Kamil Rakoczy
Anthony Donlon
Mariusz Glebocki
Larry Doolittle
Andrew Nolte
Jevin Sweval
Kritik Bhimani
Miodrag Milanović