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Lc0 is written in [[Cpp#14|C++14]] and may be compiled for various platforms and backends. Since deep CNN approaches are best suited to run massively in parallel on [[GPU|GPUs]] to perform all the [[Float|floating point]] [https://en.wikipedia.org/wiki/Dot_product dot products] for thousands of neurons,
the preferred target platforms are [[Nvidia]] [[GPU|GPUs]] supporting [https://en.wikipedia.org/wiki/CUDA CUDA] and cuDNN libraries <ref>[https://developer.nvidia.com/cudnn NVIDIA cuDNN | NVIDIA Developer]</ref>.
None CUDA compliant GPUs ([[AMD]]) are supported through [https://en.wikipedia.org/wiki/OpenCL [OpenCL]], while much slower pure CPU binaries are possible using [https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms BLAS], target systems with or without a [https://en.wikipedia.org/wiki/Video_card graphics card] (GPU) are [[Linux]], [[Mac OS]] and [[Windows]] computers, or BLAS only the [[Raspberry Pi]].
=Description=
