Representation of Data: Machine learning models operate on data, which is often represented as matrices and vectors. Linear algebra provides the mathematical framework to manipulate and process this ...

Modern scientific workloads demand linear-algebra kernels that are both performant and expressive. We present the new precision-agnostic BLAS and LAPACK layer being upstreamed to the Fortran Standard ...

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What is this course about? This module offers an introduction to linear algebra which is essentially a set of notational conventions and operations which allow you to manipulate large systems of ...

NumPy includes some tools for working with linear algebra in the numpy.linalg module. However, unless you really don’t want to add SciPy as a dependency to your project, it’s typically better to use ...

This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...

With the rise of WebAssembly (wasm) it’s become easier than ever to run native code in a browser. As mostly just another platform to target, it would be remiss if Fortran was not a part of this effort ...