/
Double64Vector.java
1585 lines (1232 loc) · 50 KB
/
Double64Vector.java
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/*
* Copyright (c) 2018, 2021, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
package org.openjdk.bench.jdk.incubator.vector.operation;
// -- This file was mechanically generated: Do not edit! -- //
import jdk.incubator.vector.Vector;
import jdk.incubator.vector.VectorMask;
import jdk.incubator.vector.VectorOperators;
import jdk.incubator.vector.VectorShape;
import jdk.incubator.vector.VectorSpecies;
import jdk.incubator.vector.VectorShuffle;
import jdk.incubator.vector.DoubleVector;
import java.util.concurrent.TimeUnit;
import java.util.function.BiFunction;
import java.util.function.IntFunction;
import org.openjdk.jmh.annotations.*;
import org.openjdk.jmh.infra.Blackhole;
@BenchmarkMode(Mode.Throughput)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@State(Scope.Benchmark)
@Warmup(iterations = 3, time = 1)
@Measurement(iterations = 5, time = 1)
@Fork(value = 1, jvmArgsPrepend = {"--add-modules=jdk.incubator.vector"})
public class Double64Vector extends AbstractVectorBenchmark {
static final VectorSpecies<Double> SPECIES = DoubleVector.SPECIES_64;
static final int INVOC_COUNT = 1; // get rid of outer loop
@Param("1024")
int size;
double[] fill(IntFunction<Double> f) {
double[] array = new double[size];
for (int i = 0; i < array.length; i++) {
array[i] = f.apply(i);
}
return array;
}
double[] a, b, c, r;
boolean[] m, mt, rm;
int[] s;
@Setup
public void init() {
size += size % SPECIES.length(); // FIXME: add post-loops
a = fill(i -> (double)(2*i));
b = fill(i -> (double)(i+1));
c = fill(i -> (double)(i+5));
r = fill(i -> (double)0);
m = fillMask(size, i -> (i % 2) == 0);
mt = fillMask(size, i -> true);
rm = fillMask(size, i -> false);
s = fillInt(size, i -> RANDOM.nextInt(SPECIES.length()));
}
final IntFunction<double[]> fa = vl -> a;
final IntFunction<double[]> fb = vl -> b;
final IntFunction<double[]> fc = vl -> c;
final IntFunction<double[]> fr = vl -> r;
final IntFunction<boolean[]> fm = vl -> m;
final IntFunction<boolean[]> fmt = vl -> mt;
final IntFunction<boolean[]> fmr = vl -> rm;
final BiFunction<Integer,Integer,int[]> fs = (i,j) -> s;
@Benchmark
public void ADD(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.ADD, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void ADDMasked(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.ADD, bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void SUB(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.SUB, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void SUBMasked(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.SUB, bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void MUL(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.MUL, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void MULMasked(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.MUL, bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void DIV(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.DIV, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void DIVMasked(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.DIV, bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void FIRST_NONZERO(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.FIRST_NONZERO, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void FIRST_NONZEROMasked(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.FIRST_NONZERO, bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void MIN(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.MIN, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void MAX(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.lanewise(VectorOperators.MAX, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void ADDLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double ra = 0;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = 0;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra += av.reduceLanes(VectorOperators.ADD);
}
}
bh.consume(ra);
}
@Benchmark
public void ADDMaskedLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
double ra = 0;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = 0;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra += av.reduceLanes(VectorOperators.ADD, vmask);
}
}
bh.consume(ra);
}
@Benchmark
public void MULLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double ra = 1;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = 1;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra *= av.reduceLanes(VectorOperators.MUL);
}
}
bh.consume(ra);
}
@Benchmark
public void MULMaskedLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
double ra = 1;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = 1;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra *= av.reduceLanes(VectorOperators.MUL, vmask);
}
}
bh.consume(ra);
}
@Benchmark
public void MINLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double ra = Double.POSITIVE_INFINITY;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = Double.POSITIVE_INFINITY;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra = (double)Math.min(ra, av.reduceLanes(VectorOperators.MIN));
}
}
bh.consume(ra);
}
@Benchmark
public void MINMaskedLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
double ra = Double.POSITIVE_INFINITY;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = Double.POSITIVE_INFINITY;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra = (double)Math.min(ra, av.reduceLanes(VectorOperators.MIN, vmask));
}
}
bh.consume(ra);
}
@Benchmark
public void MAXLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double ra = Double.NEGATIVE_INFINITY;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = Double.NEGATIVE_INFINITY;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra = (double)Math.max(ra, av.reduceLanes(VectorOperators.MAX));
}
}
bh.consume(ra);
}
@Benchmark
public void MAXMaskedLanes(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
double ra = Double.NEGATIVE_INFINITY;
for (int ic = 0; ic < INVOC_COUNT; ic++) {
ra = Double.NEGATIVE_INFINITY;
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
ra = (double)Math.max(ra, av.reduceLanes(VectorOperators.MAX, vmask));
}
}
bh.consume(ra);
}
@Benchmark
public void withLane(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
av.withLane(0, (double)4).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public Object IS_DEFAULT() {
double[] a = fa.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.test(VectorOperators.IS_DEFAULT));
}
}
return m;
}
@Benchmark
public Object IS_NEGATIVE() {
double[] a = fa.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.test(VectorOperators.IS_NEGATIVE));
}
}
return m;
}
@Benchmark
public Object IS_FINITE() {
double[] a = fa.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.test(VectorOperators.IS_FINITE));
}
}
return m;
}
@Benchmark
public Object IS_NAN() {
double[] a = fa.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.test(VectorOperators.IS_NAN));
}
}
return m;
}
@Benchmark
public Object IS_INFINITE() {
double[] a = fa.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.test(VectorOperators.IS_INFINITE));
}
}
return m;
}
@Benchmark
public Object LT() {
double[] a = fa.apply(size);
double[] b = fb.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.compare(VectorOperators.LT, bv));
}
}
return m;
}
@Benchmark
public Object GT() {
double[] a = fa.apply(size);
double[] b = fb.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.compare(VectorOperators.GT, bv));
}
}
return m;
}
@Benchmark
public Object EQ() {
double[] a = fa.apply(size);
double[] b = fb.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.compare(VectorOperators.EQ, bv));
}
}
return m;
}
@Benchmark
public Object NE() {
double[] a = fa.apply(size);
double[] b = fb.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.compare(VectorOperators.NE, bv));
}
}
return m;
}
@Benchmark
public Object LE() {
double[] a = fa.apply(size);
double[] b = fb.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.compare(VectorOperators.LE, bv));
}
}
return m;
}
@Benchmark
public Object GE() {
double[] a = fa.apply(size);
double[] b = fb.apply(size);
boolean[] ms = fmt.apply(size);
VectorMask<Double> m = VectorMask.fromArray(SPECIES, ms, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
// accumulate results, so JIT can't eliminate relevant computations
m = m.and(av.compare(VectorOperators.GE, bv));
}
}
return m;
}
@Benchmark
public void blend(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.blend(bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void rearrange(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
int[] order = fs.apply(a.length, SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
av.rearrange(VectorShuffle.fromArray(SPECIES, order, i)).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void laneextract(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] r = fr.apply(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
int num_lanes = SPECIES.length();
// Manually unroll because full unroll happens after intrinsification.
// Unroll is needed because get intrinsic requires for index to be a known constant.
if (num_lanes == 1) {
r[i]=av.lane(0);
} else if (num_lanes == 2) {
r[i]=av.lane(0);
r[i+1]=av.lane(1);
} else if (num_lanes == 4) {
r[i]=av.lane(0);
r[i+1]=av.lane(1);
r[i+2]=av.lane(2);
r[i+3]=av.lane(3);
} else if (num_lanes == 8) {
r[i]=av.lane(0);
r[i+1]=av.lane(1);
r[i+2]=av.lane(2);
r[i+3]=av.lane(3);
r[i+4]=av.lane(4);
r[i+5]=av.lane(5);
r[i+6]=av.lane(6);
r[i+7]=av.lane(7);
} else if (num_lanes == 16) {
r[i]=av.lane(0);
r[i+1]=av.lane(1);
r[i+2]=av.lane(2);
r[i+3]=av.lane(3);
r[i+4]=av.lane(4);
r[i+5]=av.lane(5);
r[i+6]=av.lane(6);
r[i+7]=av.lane(7);
r[i+8]=av.lane(8);
r[i+9]=av.lane(9);
r[i+10]=av.lane(10);
r[i+11]=av.lane(11);
r[i+12]=av.lane(12);
r[i+13]=av.lane(13);
r[i+14]=av.lane(14);
r[i+15]=av.lane(15);
} else if (num_lanes == 32) {
r[i]=av.lane(0);
r[i+1]=av.lane(1);
r[i+2]=av.lane(2);
r[i+3]=av.lane(3);
r[i+4]=av.lane(4);
r[i+5]=av.lane(5);
r[i+6]=av.lane(6);
r[i+7]=av.lane(7);
r[i+8]=av.lane(8);
r[i+9]=av.lane(9);
r[i+10]=av.lane(10);
r[i+11]=av.lane(11);
r[i+12]=av.lane(12);
r[i+13]=av.lane(13);
r[i+14]=av.lane(14);
r[i+15]=av.lane(15);
r[i+16]=av.lane(16);
r[i+17]=av.lane(17);
r[i+18]=av.lane(18);
r[i+19]=av.lane(19);
r[i+20]=av.lane(20);
r[i+21]=av.lane(21);
r[i+22]=av.lane(22);
r[i+23]=av.lane(23);
r[i+24]=av.lane(24);
r[i+25]=av.lane(25);
r[i+26]=av.lane(26);
r[i+27]=av.lane(27);
r[i+28]=av.lane(28);
r[i+29]=av.lane(29);
r[i+30]=av.lane(30);
r[i+31]=av.lane(31);
} else if (num_lanes == 64) {
r[i]=av.lane(0);
r[i+1]=av.lane(1);
r[i+2]=av.lane(2);
r[i+3]=av.lane(3);
r[i+4]=av.lane(4);
r[i+5]=av.lane(5);
r[i+6]=av.lane(6);
r[i+7]=av.lane(7);
r[i+8]=av.lane(8);
r[i+9]=av.lane(9);
r[i+10]=av.lane(10);
r[i+11]=av.lane(11);
r[i+12]=av.lane(12);
r[i+13]=av.lane(13);
r[i+14]=av.lane(14);
r[i+15]=av.lane(15);
r[i+16]=av.lane(16);
r[i+17]=av.lane(17);
r[i+18]=av.lane(18);
r[i+19]=av.lane(19);
r[i+20]=av.lane(20);
r[i+21]=av.lane(21);
r[i+22]=av.lane(22);
r[i+23]=av.lane(23);
r[i+24]=av.lane(24);
r[i+25]=av.lane(25);
r[i+26]=av.lane(26);
r[i+27]=av.lane(27);
r[i+28]=av.lane(28);
r[i+29]=av.lane(29);
r[i+30]=av.lane(30);
r[i+31]=av.lane(31);
r[i+32]=av.lane(32);
r[i+33]=av.lane(33);
r[i+34]=av.lane(34);
r[i+35]=av.lane(35);
r[i+36]=av.lane(36);
r[i+37]=av.lane(37);
r[i+38]=av.lane(38);
r[i+39]=av.lane(39);
r[i+40]=av.lane(40);
r[i+41]=av.lane(41);
r[i+42]=av.lane(42);
r[i+43]=av.lane(43);
r[i+44]=av.lane(44);
r[i+45]=av.lane(45);
r[i+46]=av.lane(46);
r[i+47]=av.lane(47);
r[i+48]=av.lane(48);
r[i+49]=av.lane(49);
r[i+50]=av.lane(50);
r[i+51]=av.lane(51);
r[i+52]=av.lane(52);
r[i+53]=av.lane(53);
r[i+54]=av.lane(54);
r[i+55]=av.lane(55);
r[i+56]=av.lane(56);
r[i+57]=av.lane(57);
r[i+58]=av.lane(58);
r[i+59]=av.lane(59);
r[i+60]=av.lane(60);
r[i+61]=av.lane(61);
r[i+62]=av.lane(62);
r[i+63]=av.lane(63);
} else {
for (int j = 0; j < SPECIES.length(); j++) {
r[i+j]=av.lane(j);
}
}
}
}
bh.consume(r);
}
@Benchmark
public void broadcast(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] r = new double[a.length];
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector.broadcast(SPECIES, a[i]).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void zero(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] r = new double[a.length];
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector.zero(SPECIES).intoArray(a, i);
}
}
bh.consume(r);
}
@Benchmark
public void sliceUnary(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] r = new double[a.length];
int origin = (new java.util.Random()).nextInt(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
av.slice(origin).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void sliceBinary(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
double[] r = new double[a.length];
int origin = (new java.util.Random()).nextInt(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.slice(origin, bv).intoArray(r, i);
}
}
bh.consume(r);
}
@Benchmark
public void sliceMasked(Blackhole bh) {
double[] a = fa.apply(SPECIES.length());
double[] b = fb.apply(SPECIES.length());
boolean[] mask = fm.apply(SPECIES.length());
VectorMask<Double> vmask = VectorMask.fromArray(SPECIES, mask, 0);
double[] r = new double[a.length];
int origin = (new java.util.Random()).nextInt(SPECIES.length());
for (int ic = 0; ic < INVOC_COUNT; ic++) {
for (int i = 0; i < a.length; i += SPECIES.length()) {
DoubleVector av = DoubleVector.fromArray(SPECIES, a, i);
DoubleVector bv = DoubleVector.fromArray(SPECIES, b, i);
av.slice(origin, bv, vmask).intoArray(r, i);
}
}
bh.consume(r);
}