* Add README.md * Improve README description of TrigDx library * Apply suggestion from @mickveldhuis Co-authored-by: Mick Veldhuis <mickveldhuis@hotmail.nl> * Apply suggestion from @mickveldhuis Co-authored-by: Mick Veldhuis <mickveldhuis@hotmail.nl> * Apply suggestion from @mickveldhuis Co-authored-by: Mick Veldhuis <mickveldhuis@hotmail.nl> --------- Co-authored-by: Mick Veldhuis <mickveldhuis@hotmail.nl>
55 lines
2.3 KiB
Markdown
55 lines
2.3 KiB
Markdown
# TrigDx
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High‑performance C++ library offering multiple implementations of transcendental trigonometric functions (e.g., sin, cos, tan and their variants), designed for numerical, signal‑processing, and real‑time systems where trading a small loss of accuracy for significantly higher throughput on modern CPUs (scalar and SIMD) and NVIDIA GPUs is acceptable.
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## Why TrigDx?
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Many applications use the standard library implementations, which prioritise correctness but are not always optimal for throughput on vectorized or GPU hardware. TrigDx gives you multiple implementations so you can:
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- Replace `std::sin` / `std::cos` calls with faster approximations when a small, bounded reduction in accuracy is acceptable.
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- Use SIMD/vectorized implementations and compact lookup tables for high throughput lookups.
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- Run massively parallel kernels that take advantage of a GPU's _Special Function Units_ (SFUs).
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## Requirements
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- A C++ compiler with at least C++17 support (GCC, Clang)
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- CMake 3.15+
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- Optional: NVIDIA CUDA Toolkit 11+ to build GPU kernels
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- Optional: GoogleTest (for unit tests) and GoogleBenchmark (for microbenchmarks)
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## Building
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```bash
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git clone https://github.com/astron-rd/TrigDx.git
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cd TrigDx
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mkdir build && cd build
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# CPU-only:
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cmake -DCMAKE_BUILD_TYPE=Release -DTRIGDX_USE_XSIMD=ON ..
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cmake --build . -j
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# Enable CUDA (if available):
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cmake -DCMAKE_BUILD_TYPE=Release -DTRIGDX_USE_GPU=ON ..
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cmake --build . -j
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# Run tests:
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ctest --output-on-failure -j
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```
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Common CMake options:
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- `TRIGDX_USE_GPU=ON/OFF` — build GPU support.
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- `TRIGDX_BUILD_TESTS=ON/OFF` — build tests.
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- `TRIGDX_BUILD_BENCHMARKS=ON/OFF` — build benchmarks.
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- `TRIGDX_BUILD_PYTHON` — build Python interface.
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## Contributing
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- Fork → create a feature branch → open a PR.
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- Include unit tests for correctness‑sensitive changes and benchmark results for performance changes.
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- Follow project style (clang‑format) and run tests locally before submitting.
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## Reporting issues
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When opening an issue for incorrect results or performance regressions, please include:
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- Platform and CPU/GPU model.
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- Compiler and version with exact compile flags.
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- Small reproducer (input data and the TrigDx implementation used).
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## License
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See the LICENSE file in the repository for licensing details.
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