For the complete Mojo documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /docs/manual/basics.md).
algorithm
High performance data operations: vectorization, parallelization, reduction, memory.
The algorithm package provides high-performance primitives for data-parallel
operations. It includes tools for vectorization (SIMD operations on contiguous
data), parallelization (distributing work across multiple cores), and reduction
operations (aggregating values). These building blocks enable efficient
computational kernels without manual SIMD intrinsics or thread management.
Use this package for large datasets, numerical algorithms, or compute-intensive code. For element-wise operations on small data, standard loops may be simpler.
Packages
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backend: Implements algorithm backend utilities including tiling and unswitching.
Modules
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functional: Implements higher-order functions. -
memory: Implementsparallel_memcpy. -
reduction: Implements SIMD reductions.