167 lines
4.0 KiB
Java
167 lines
4.0 KiB
Java
/*
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* Copyright (C) 2013 The Guava Authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.google.common.math;
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import com.google.caliper.BeforeExperiment;
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import com.google.caliper.Benchmark;
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import com.google.caliper.Param;
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import java.util.Random;
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/**
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* Benchmarks for various ways of writing the expression {@code foo + ((bar < baz) ? 1 : 0)}.
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*
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* @author Louis Wasserman
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*/
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public class LessThanBenchmark {
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static final int SAMPLE_SIZE = 0x1000;
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static final int SAMPLE_MASK = 0x0FFF;
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@Param("1234")
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int randomSeed;
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int[] xInts;
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int[] yInts;
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long[] xLongs;
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long[] yLongs;
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int[] constant;
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private static final long NONNEGATIVE_LONG_MASK = 0x7FFFFFFFFFFFFFFFL;
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@BeforeExperiment
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void setUp() {
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Random random = new Random(randomSeed);
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xInts = new int[SAMPLE_SIZE];
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yInts = new int[SAMPLE_SIZE];
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xLongs = new long[SAMPLE_SIZE];
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yLongs = new long[SAMPLE_SIZE];
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constant = new int[SAMPLE_SIZE];
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for (int i = 0; i < SAMPLE_SIZE; i++) {
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xInts[i] = random.nextInt(Integer.MAX_VALUE);
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yInts[i] = random.nextInt(Integer.MAX_VALUE);
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xLongs[i] = random.nextLong() & NONNEGATIVE_LONG_MASK;
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yLongs[i] = random.nextLong() & NONNEGATIVE_LONG_MASK;
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constant[i] = random.nextInt();
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}
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}
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@Benchmark
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int branchFreeLtIntInlined(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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int x = xInts[j];
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int y = yInts[j];
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int z = constant[j];
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tmp += z + ((x - y) >>> (Integer.SIZE - 1));
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}
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return tmp;
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}
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@Benchmark
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int branchFreeLtInt(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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int x = xInts[j];
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int y = yInts[j];
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int z = constant[j];
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tmp += z + IntMath.lessThanBranchFree(x, y);
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}
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return tmp;
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}
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@Benchmark
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int ternaryLtIntAddOutsideTernary(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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int x = xInts[j];
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int y = yInts[j];
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int z = constant[j];
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tmp += z + ((x < y) ? 1 : 0);
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}
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return tmp;
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}
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@Benchmark
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int ternaryLtIntAddInsideTernary(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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int x = xInts[j];
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int y = yInts[j];
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int z = constant[j];
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tmp += (x < y) ? z + 1 : z;
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}
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return tmp;
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}
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@Benchmark
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int branchFreeLtLongInlined(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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long x = xLongs[j];
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long y = yLongs[j];
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int z = constant[j];
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tmp += z + (int) ((x - y) >>> (Long.SIZE - 1));
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}
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return tmp;
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}
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@Benchmark
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int branchFreeLtLong(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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long x = xLongs[j];
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long y = yLongs[j];
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int z = constant[j];
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tmp += z + LongMath.lessThanBranchFree(x, y);
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}
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return tmp;
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}
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@Benchmark
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int ternaryLtLongAddOutsideTernary(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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long x = xLongs[j];
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long y = yLongs[j];
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int z = constant[j];
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tmp += z + ((x < y) ? 1 : 0);
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}
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return tmp;
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}
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@Benchmark
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int ternaryLtLongAddInsideTernary(int reps) {
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int tmp = 0;
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for (int i = 0; i < reps; i++) {
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int j = i & SAMPLE_MASK;
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long x = xLongs[j];
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long y = yLongs[j];
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int z = constant[j];
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tmp += (x < y) ? z + 1 : z;
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}
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return tmp;
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}
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}
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