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m →top: Added reference to availability via nuget Tags: Mobile edit Mobile app edit Android app edit App section source |
→top: Added reference to ability to run first order LP solver on GPUs Tags: Mobile edit Mobile app edit Android app edit App section source |
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Written in [[C++]] and published under an [[MIT License|MIT]] license, HiGHS provides programming interfaces to [[C (programming language)|C]], [[Python (programming language)|Python]], [[Julia (programming language)|Julia]], [[Rust (programming language)|Rust]], [[R (programming language)|R]], [[JavaScript]], [[Fortran]], and [[C Sharp (programming language)|C#]]. It has no external dependencies. A{{nbsp}}convenient thin wrapper to Python is available via the {{url|https://pypi.org/project/highspy/|highspy}} [[Python Package Index|PyPI]] package. HiGHS is also callable via {{url|https://www.nuget.org/packages/Highs.Native/|nuget}}.
Although generally single-threaded, some solver components can utilize multi-core architectures and, from {{URL|https://github.com/ERGO-Code/HiGHS/releases/tag/v1.10.0|Version 1.10.0}}, can run its first order LP solver on NVIDIA GPUs. HiGHS is designed to solve large-scale models and exploits [[sparse matrix|problem sparsity]]. Its performance relative to commercial and other open-source software is reviewed periodically using industry-standard [[Benchmark (computing)|benchmarks]].<ref name="mittelmann-benchmarks"/>
The term '''HiGHS''' may also refer to both the underlying project and the small team leading the software development.
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