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Writing Fast Java Code with the Vector API - JEP Café 18

Java via YouTube

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Overview

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This course shows how to use Java’s Vector API to structure computations around a CPU’s SIMD capabilities. It covers vector creation and array loading, lane-wise operations, and parallel reductions through examples such as sums, norms, averages, and filtering.

Syllabus

Intro
Introducing the SIMD features of your CPU
Scalar parallel computing based on concurrency
Vector parallel computing based on SIMD machine
Shape and species of a Vector
Creating vectors from arrays to sum them
Loading any array in a vector using masks
Avoiding masking when it is not supported
Parallel cross-lanes and lane-wise operations
Computing the norm of a vector in parallel
Computing the average of vector components in parallel
Filtering and compressing a vector in parallel
Reducing a vector in parallel
Wrapping up parallel computations using vectors
Examples, patterns and performances
Outro

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Java

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