- Update to 18:
Next-Generation Evaluation:
* This release introduces the SFNNv10 network architecture. The network’s input
layer has been augmented with 'Threat Inputs' features as part of a massive
community effort. These features allow the engine to 'see' which pieces are
threatened more naturally, resulting in more accurate evaluations.
Hardware and Performance Optimizations:
* A key highlight is the new 'Shared Memory' implementation, which allows
different Stockfish processes to share the same memory space for neural
network weights. This makes it the most efficient version for cloud
analysis and high-concurrency testing.
* Significant efforts have also been made to utilize hardware more
effectively by adapting the code to make use of modern CPU instructions and
refining how threads interact during a search.
Search Improvements:
* Stockfish 18 features a heavily refined search, utilizing 'Correction
History' to dynamically adjust evaluations based on patterns found during
the search itself. These and other refinements allow the engine to detect
stalemates and evaluate fortresses significantly better than previous
versions. A particularly rare issue, involving threefold repetition
detection, en passant, and pins, was also fixed.
Refactored Training Workflow:
* The training of Stockfish's neural networks has transitioned to an
automated and reproducible model. This new framework allows the project to
employ standardized recipes to chain complex training stages together. This
transition facilitates the training of networks using over 100 billion
positions of Lc0 evaluation data.
- Update stockfish-remove-net.patch
OBS-URL: https://build.opensuse.org/request/show/1330298
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/stockfish?expand=0&rev=17
Next-Generation Evaluation:
* This release introduces the SFNNv10 network architecture. The network’s input
layer has been augmented with 'Threat Inputs' features as part of a massive
community effort. These features allow the engine to 'see' which pieces are
threatened more naturally, resulting in more accurate evaluations.
Hardware and Performance Optimizations:
* A key highlight is the new 'Shared Memory' implementation, which allows
different Stockfish processes to share the same memory space for neural
network weights. This makes it the most efficient version for cloud
analysis and high-concurrency testing.
* Significant efforts have also been made to utilize hardware more
effectively by adapting the code to make use of modern CPU instructions and
refining how threads interact during a search.
Search Improvements:
* Stockfish 18 features a heavily refined search, utilizing 'Correction
History' to dynamically adjust evaluations based on patterns found during
the search itself. These and other refinements allow the engine to detect
stalemates and evaluate fortresses significantly better than previous
versions. A particularly rare issue, involving threefold repetition
detection, en passant, and pins, was also fixed.
Refactored Training Workflow:
* The training of Stockfish's neural networks has transitioned to an
automated and reproducible model. This new framework allows the project to
employ standardized recipes to chain complex training stages together. This
transition facilitates the training of networks using over 100 billion
positions of Lc0 evaluation data.
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=40
- Update to 17.1:
* Quality of chess play
In our testing against its predecessor, Stockfish 17.1 shows a
consistent improvement in performance, with an Elo gain of up
to 20 points and winning close to 2 times more game pairs than
it loses.
* New speedtest command
The new speedtest command benchmarks your computer's performance (measured
in nodes per second) using a realistic and stable test. To run it, you'll
need command line access—give it a try and share your results with the community!
* Improved hardware support
Stockfish is no longer limited to 1024 threads and will allow users to specify
whatever their system is capable of. Additionally, hardware such as ppc64 and
Loongson is now better supported at build time.
* Bug fixes for tablebase support
Our previous release introduced improved engine lines (principal variations)
ending in mate as soon as a mate score is announced. A side effect of this
improvement was a rare corner case involving cursed tablebase wins, only relevant
in correspondence chess when the 50-move rule does not apply, which has now been
fixed. Relatedly, time management has also been improved to avoid potential time losses.
OBS-URL: https://build.opensuse.org/request/show/1266620
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/stockfish?expand=0&rev=16
* Quality of chess play
In our testing against its predecessor, Stockfish 17.1 shows a
consistent improvement in performance, with an Elo gain of up
to 20 points and winning close to 2 times more game pairs than
it loses.
* New speedtest command
The new speedtest command benchmarks your computer's performance (measured
in nodes per second) using a realistic and stable test. To run it, you'll
need command line access—give it a try and share your results with the community!
* Improved hardware support
Stockfish is no longer limited to 1024 threads and will allow users to specify
whatever their system is capable of. Additionally, hardware such as ppc64 and
Loongson is now better supported at build time.
* Bug fixes for tablebase support
Our previous release introduced improved engine lines (principal variations)
ending in mate as soon as a mate score is announced. A side effect of this
improvement was a rare corner case involving cursed tablebase wins, only relevant
in correspondence chess when the 50-move rule does not apply, which has now been
fixed. Relatedly, time management has also been improved to avoid potential time losses.
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=36
* Improved engine lines
This release introduces principal variations (PVs) that are more
informative for mate and decisive table base (TB) scores. In both
cases, the PV will contain all moves up to checkmate. For mate scores,
the PV shown is the best variation known to the engine at that point,
while for table base wins, it follows, based on the TB, a sequence of
moves that preserves the game outcome to checkmate.
* NUMA performance optimization
For high-end computers with multiple CPUs (typically a dual-socket
architecture with 100+ cores), this release automatically improves
performance with a NumaPolicy setting that optimizes non-uniform memory
access (NUMA). Although typical consumer hardware will not benefit,
speedups of up to 2.8x have been measured.
- Update date.pach, stockfish-remove-net.patch
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=34
- Update to 16.1:
* In our testing against its predecessor, Stockfish 16.1 shows a
notable improvement in performance, with an Elo gain of up to
27 points and winning over 2 times more game pairs than it loses.
* Updated neural network architecture: The neural network architecture
has undergone two updates and is currently in its 8th version.
* Removal of handcrafted evaluation (HCE): This release marks the
removal of the traditional handcrafted evaluation and the transition
to a fully neural network-based approach.
* Dual NNUE: For the first time, Stockfish includes a secondary neural
network, used to quickly evaluate positions that are easily decided.
* Use NNUE and UCI_AnalyseMode have been removed as they no longer had
any effect. SlowMover has also been removed in favor of Move Overhead.
- Use %autosetup macro. Allows to eliminate the usage of deprecated PatchN.
OBS-URL: https://build.opensuse.org/request/show/1151318
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/stockfish?expand=0&rev=14
* In our testing against its predecessor, Stockfish 16.1 shows a
notable improvement in performance, with an Elo gain of up to
27 points and winning over 2 times more game pairs than it loses.
* Updated neural network architecture: The neural network architecture
has undergone two updates and is currently in its 8th version.
* Removal of handcrafted evaluation (HCE): This release marks the
removal of the traditional handcrafted evaluation and the transition
to a fully neural network-based approach.
* Dual NNUE: For the first time, Stockfish includes a secondary neural
network, used to quickly evaluate positions that are easily decided.
* Use NNUE and UCI_AnalyseMode have been removed as they no longer had
any effect. SlowMover has also been removed in favor of Move Overhead.
- Use %autosetup macro. Allows to eliminate the usage of deprecated PatchN.
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=32
- Update to 15.1:
* Elo gain and competition results:
With this release, version 5 of the NNUE neural net architecture
has been introduced, and the training data has been extended to
include Fischer random chess (FRC) positions. As a result, Elo
gains are largest for FRC, reaching up to 50 Elo for doubly
randomized FRC (DFRC). More importantly, also for standard chess
this release progressed and will win two times more game pairs than
it loses against Stockfish 15.
* New evaluation:
This release also introduces a new convention for the evaluation
that is reported by search. An evaluation of +1 is now no longer
tied to the value of one pawn, but to the likelihood of winning the
game. With a +1 evaluation, Stockfish has now a 50% chance of winning
the game against an equally strong opponent. This convention scales
down evaluations a bit compared to Stockfish 15 and allows for
consistent evaluations in the future.
- Refresh:
* date.patch
* stockfish-remove-net.patch
- Remove nn-6877cd24400e.nnue
- Add nn-ad9b42354671.nnue
- Keep man page and stockfish-interface.txt but remove URL from
Source. Because not available anymore.
OBS-URL: https://build.opensuse.org/request/show/1040725
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/stockfish?expand=0&rev=13
* Elo gain and competition results:
With this release, version 5 of the NNUE neural net architecture
has been introduced, and the training data has been extended to
include Fischer random chess (FRC) positions. As a result, Elo
gains are largest for FRC, reaching up to 50 Elo for doubly
randomized FRC (DFRC). More importantly, also for standard chess
this release progressed and will win two times more game pairs than
it loses against Stockfish 15.
* New evaluation:
This release also introduces a new convention for the evaluation
that is reported by search. An evaluation of +1 is now no longer
tied to the value of one pawn, but to the likelihood of winning the
game. With a +1 evaluation, Stockfish has now a 50% chance of winning
the game against an equally strong opponent. This convention scales
down evaluations a bit compared to Stockfish 15 and allows for
consistent evaluations in the future.
- Refresh:
* date.patch
* stockfish-remove-net.patch
- Remove nn-6877cd24400e.nnue
- Add nn-ad9b42354671.nnue
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=29
Stockfish 15 continues to push the boundaries of chess, providing
unrivalled analysis and playing strength. In our testing, Stockfish
15 is ahead of Stockfish 14 by 36 Elo points and wins nine times
more game pairs than it loses.
- Add stockfish-remove-net.patch: Don't try to donwload nnue
we already have it.
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=27
- update to 14.1:
Compared to Stockfish 14, this release introduces a more advanced NNUE
architecture and various search improvements. In self play testing, using a
book of balanced openings, Stockfish 14.1 wins three times more game pairs than
it loses. At this high level, draws are very common, so the Elo difference to
Stockfish 14 is about 17 Elo
OBS-URL: https://build.opensuse.org/request/show/965221
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=25
- Update to version 14:
The engine is now significantly stronger than just a few months
ago, and wins four times more game pairs than it loses against
the previous release version.
Stockfish 14 is now at least 400 Elo ahead of Stockfish 7, a
top engine in 2016. During the last five years, Stockfish has thus
gained about 80 Elo per year.
- Refresh date.patch
OBS-URL: https://build.opensuse.org/request/show/905194
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=24
Drop Stockfish-CMakeLists.txt and stockfish-polyglot.ini. These files aren't
necessary for building (or running) Stockfish, but their presence prevents us
from submitting this package to Factory:
Attention, Stockfish-CMakeLists.txt is not mentioned in spec files as source or patch.
Attention, stockfish-polyglot.ini is not mentioned in spec files as source or patch.
OBS-URL: https://build.opensuse.org/request/show/399930
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=2
