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// "Species" describes the vector shape (lane count + preferred SIMD width on this CPU). static final VectorSpecies〈Float〉SPECIES = FloatVector.SPECIES_PREFERRED; /** * Computes, for each element i: c[i] = -(a[i]*a[i] + b[i]*b[i]) * but does it in SIMD chunks using the Vector API. */ void vectorComputation( float[] a, float[] b, float[] c ) { int i = 0; int upperBound = SPECIES.loopBound( a.length ); for ( ; i 〈 upperBound; i += SPECIES.length() ) { // Load a vector from a[i .. i+lanes-1], same for b[] var va = FloatVector.fromArray( SPECIES, a, i ); var vb = FloatVector.fromArray( SPECIES, b, i ); // 1) va.mul(va) =〉 a^2 // 2) vb.mul(vb) =〉 b^2 // 3) .add(...) =〉 a^2 + b^2 // 4) .neg() =〉-(a^2 + b^2) // 5) .intoArray(c, i) =〉store result into c[i .. i+lanes-1] va.mul( va ) .add( vb.mul( vb ) ) .neg() .intoArray( c, i ); } }
• The Vector API is Java’s portable SIMD story for data-heavy workloads.
• You write vector operations in Java and let the JVM map them to the best hardware instructions available.
• It is still incubating, so it is best suited to performance-focused code paths and libraries.
#java #java26 #jep529 #vector #performance
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