v5.0.0
This release provides new engine features (e.g. MultiPV analysis) and a small strength increase 馃巻
Estimated strength increase: ~ 30 Elo
Changes
- Add support for MultiPV analysis
- Add support for UCI "go mate ..." command
- Add support for UCI "go searchmoves ..." command
- Improved training set generator and NN trainer
- New neural network based upon 4.1.0 self-play training data
- Some minor search improvements
- Some minor optimizations
- Update to latest Rust version (1.66.0)
Due to the lack of an ARM-based (Apple Silicon) computer, the new "apple-silicon" builds are untested.
Installation
The chess engine is available for Windows and Linux and requires a 64 Bit CPU.
There are optimized executables available for different CPU micro-architecture generations.
Starting with Velvet v4.1.0 there are also builds for macOS provided.
Currently there are no specific optimizations for the ARM-based/Apple Silicon builds implemented, so
the macOS builds for x86_64 might be faster.
If you have a relatively modern CPU (2013+) with AVX2 support, then the ...-x86_64-avx2 executable is highly recommended for best performance.
Executable | Description | Min. CPU Generation | Required Instruction Sets |
---|---|---|---|
x86_64-avx2 | Recommended for best performance on a modern CPU | Intel Haswell / Zen1 | AVX2, BMI1 |
x86_64-sse4-popcnt | Lower performance, recommended for CPUs without AVX2 support | Intel Nehalem / AMD Bulldozer | SSE4.2, SSE3, POPCNT |
x86_64-nopopcnt | Lowest performance, but compatible with most x86_64 CPUs | --- | SSE2, CMOV |
apple-silicon | Native builds for Apple Silicon processors (ARM aarch64) | Apple M1 |