java / expert
Snippet
Vector API for Data-Parallel Operations
The Vector API allows the JVM to perform SIMD (Single Instruction, Multiple Data) operations. This expert-level feature leverages hardware-level parallelism on modern CPUs to process multiple data points in a single cycle, significantly boosting performance for mathematical computations.
snippet.java
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static final VectorSpecies<Float> SPECIES = FloatVector.SPECIES_PREFERRED;void compute(float[] a, float[] b, float[] res) {for (int i = 0; i < a.length; i += SPECIES.length()) {var va = FloatVector.fromArray(SPECIES, a, i);var vb = FloatVector.fromArray(SPECIES, b, i);va.add(vb).intoArray(res, i);}}
Breakdown
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static final VectorSpecies<Float> SPECIES = FloatVector.SPECIES_PREFERRED;
Determines the optimal vector size for the current hardware architecture.
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va.add(vb).intoArray(res, i);
Performs a parallel addition of multiple elements simultaneously.