BLAS

This page provides an overview of the BLAS module and how to apply vector and matrix operations in q.

The BLAS module provides q bindings to BLAS (Basic Linear Algebra Subprograms) libraries, enabling high-performance linear algebra operations directly from q. By exposing optimized native implementations, the module allows users to perform fast vector and matrix computations for numerical workloads such as machine learning, statistical modeling, and scientific computing. This integration enables KDB-X to support compute-intensive mathematical operations at scale while maintaining seamless interoperability with in-memory analytics and streaming data workflows. The BLAS module is provided as part of the fusionx module.

See the BLAS documentation on GitHub for more information.