@jeffreyan11 jeffreyan11 released this Feb 7, 2019 · 2 commits to master since this release

Roughly 3250 ELO (CCRL 40/4)
Regressions vs. 1.6:
+114 in 12000 games at 3+0.02
+127 in 12000 games at 15+0.05

Major changes from 1.6:

  • Search and evaluation tweaks
  • Speed improvements and bugfixes, especially on multiple threads
  • Remove EvalCache option

Four binaries are provided:

  • Laser-1_7-BMI2 for Haswell or later processors with BMI2 instruction support
  • Laser-1_7 for 64-bit machines with POPCOUNT instruction support
  • Laser-1_7-NOPOPCNT for 64-bit machines without POPCOUNT
  • Laser-1_7-ARMv8 for 64-bit Android phones
Assets 6

@jeffreyan11 jeffreyan11 released this Jul 14, 2018 · 61 commits to master since this release

Roughly 3180 ELO (CCRL 40/4)
Regressions vs. 1.5:
+151 in 12000 games at 3+0.02
+151 in 12000 games at 15+0.05

Major changes from 1.5:

  • Search and evaluation tweaks
  • SMP rewrite
  • Time management rewrite

Three binaries are provided:

  • Laser-1_6-BMI2 for Haswell or later processors with BMI2 instruction support
  • Laser-1_6 for 64-bit machines with POPCOUNT instruction support
  • Laser-1_6-NOPOPCNT for 64-bit machines without POPCOUNT
Assets 5

@jeffreyan11 jeffreyan11 released this Dec 27, 2017 · 142 commits to master since this release

Roughly 3110 ELO (CCRL 40/4)
Regressions vs. 1.4:
+84 in 8000 games at 3+0.02
+97 in 4000 games at 15+0.05

Major changes from 1.4:

  • Multiple bugfixes
  • Low depth pruning changes
  • Evaluation tuning
  • Implement pondering
    • This is a preliminary release of pondering, which may not work with GUIs other than Cutechess. Pondering support will continue to improve in future versions.

Three binaries are provided:

  • Laser-1_5-BMI2 for Haswell or later processors with BMI2 instruction support
  • Laser-1_5 for 64-bit machines with POPCOUNT instruction support
  • Laser-1_5-NOPOPCNT for 64-bit machines without POPCOUNT
Assets 5

@jeffreyan11 jeffreyan11 released this May 11, 2017 · 215 commits to master since this release

Roughly 3020 ELO (CCRL 40/4)
Regressions vs. 1.3:
+86 in 8000 games at 3+0.02
+108 in 4000 games at 15+0.05

Major changes from 1.3:

  • Multiple bugfixes (Syzygy, UCI parsing, eval)
  • Add countermoves history
  • Evaluation tuning
  • Lots of new evaluation terms
  • New UCI options for scaling material and king safety value

Three binaries are provided:

  • Laser-1_4-BMI2 for Haswell or later processors with BMI2 instruction support
  • Laser-1_4 for 64-bit machines with POPCOUNT instruction support
  • Laser-1_4-NOPOPCNT for 64-bit machines without POPCOUNT
Assets 5

@jeffreyan11 jeffreyan11 released this Jan 8, 2017 · 276 commits to master since this release

Roughly 2950 ELO (CCRL)
Regressions vs. 1.2:
+131 in 8000 games at 3+0.02
+128 in 4000 games at 15+0.05

Major changes from 1.2:
Syzygy TB support
Evaluation tuning using a method based on Texel's Tuning Method
LMR at PV nodes
Change LMR formula, create a search stack to provide more information for pruning decisions (ideas from Stockfish)

Three binaries are now provided.

  • Laser-1_3 for 64-bit machines with POPCOUNT support
  • Laser-1_3-NOPOPCNT for 64-bit machines without POPCOUNT
  • Laser-1_3-x86 for 32-bit machines. The 32-bit compile is not optimized very well - this may improve in a future release.

Thanks also to Michael Byrne for providing a Mac compile: https://www.dropbox.com/s/w1juxbhxpzjyr84/uci-chess-engine-1.3.zip

Assets 5

@jeffreyan11 jeffreyan11 released this Sep 17, 2016 · 321 commits to master since this release

Roughly 2850 ELO (CCRL)
Regressions vs. 1.1:
+114 in 8000 games at 3+0.02
+109 in 4000 games at 15+0.05

Major changes from 1.1:
Improved king safety
Improved passed pawn evaluation
Slight changes in pruning and reduction
Faster compile
Bugfixes

Provided binaries are for 64-bit Windows. Use the NOPOPCNT version for Intel processors before 2008 or non-Intel processors. Binaries have only been tested on 64-bit Windows and Intel processors.
See README for more information.

Assets 4

@jeffreyan11 jeffreyan11 released this Apr 18, 2016 · 398 commits to master since this release

Stable release

Roughly 2780 ELO (CCRL)
Regressions vs. 1.0:
+60 in 8000 games at 3+0.02
+68 in 4000 games at 15+0.05

Major changes from 1.0:
Fail-soft and aspiration windows
Pawn-related tuning
Added king-pawn tropism
New LMR formula

Provided binaries are for 64-bit Windows. Use the NOPOPCNT version for Intel processors before 2008 or non-Intel processors. Binaries have only been tested on 64-bit Windows and Intel processors.
See README for more information.

Assets 4

@jeffreyan11 jeffreyan11 released this Dec 24, 2015 · 441 commits to master since this release

Stable release

Roughly 2700 ELO (CCRL)
Regressions vs. 0.2.1:
+97 in 10000 games at 3+0.02
+108 in 2000 games at 15+0.05

Major changes from 0.2.1:
Bugfixes (prevent connection stalls and fix crashes)
Lazy SMP up to 32 threads (tested on up to 4)
Better three-fold detection
Improved eval (rooks on open files, knight outposts, mobility)

Provided binaries are for 64-bit Windows. Use the NOPOPCNT version for Intel processors before 2008 or non-Intel processors. Binaries have only been tested on 64-bit Windows and Intel processors.
See README for more information.

Thanks to Michael Byrne for providing a Mac compile: http://talkchess.com/forum/viewtopic.php?topic_view=threads&p=653416&t=58680

Assets 4

@jeffreyan11 jeffreyan11 released this Oct 30, 2015 · 495 commits to master since this release

Slightly more stable than 0.2.

Assets 4

@jeffreyan11 jeffreyan11 released this Oct 28, 2015 · 499 commits to master since this release

Semi-stable release: crashes occasionally in near-mate positions (once every few thousand games)
Update 10/29: crashes appear to occur more frequently than expected. This will be patched as soon as possible.

Roughly 2600 ELO
Regressions vs. 0.1:
+201 in 5000 games at 3+0.02
+250 in 2000 games at 15+0.05

Major changes from 0.1:
Bugfixes (LMR and hashing, UCI timing parsing)
Better scaling
Extensions and more pruning (futility and late move)
Improved eval (passed pawns, king safety, basic endgames)

Provided binaries are for 64-bit Windows. Use the NOPOPCNT version for Intel processors before 2008 or non-Intel processors. Binaries have only been tested on 64-bit Windows and Intel processors.
See README for more information.

Assets 4