ViewVC Help
View File | Revision Log | Show Annotations | Download File | Root Listing
root/jsr166/jsr166/src/test/loops/LoopHelpers.java
Revision: 1.4
Committed: Sun Aug 7 19:25:55 2005 UTC (18 years, 9 months ago) by dl
Branch: MAIN
Changes since 1.3: +40 -16 lines
Log Message:
Add exchanger performance tests; update others

File Contents

# User Rev Content
1 dl 1.2 /*
2     * Written by Doug Lea with assistance from members of JCP JSR-166
3     * Expert Group and released to the public domain, as explained at
4     * http://creativecommons.org/licenses/publicdomain
5     */
6 dl 1.1 /**
7     * Misc utilities in JSR166 performance tests
8     */
9    
10     import java.util.concurrent.*;
11     import java.util.concurrent.atomic.*;
12    
13     class LoopHelpers {
14    
15     static final SimpleRandom staticRNG = new SimpleRandom();
16    
17     // Some mindless computation to do between synchronizations...
18    
19     /**
20     * generates 32 bit pseudo-random numbers.
21     * Adapted from http://www.snippets.org
22     */
23     public static int compute1(int x) {
24     int lo = 16807 * (x & 0xFFFF);
25     int hi = 16807 * (x >>> 16);
26     lo += (hi & 0x7FFF) << 16;
27     if ((lo & 0x80000000) != 0) {
28     lo &= 0x7fffffff;
29     ++lo;
30     }
31     lo += hi >>> 15;
32     if (lo == 0 || (lo & 0x80000000) != 0) {
33     lo &= 0x7fffffff;
34     ++lo;
35     }
36     return lo;
37     }
38    
39     /**
40     * Computes a linear congruential random number a random number
41     * of times.
42     */
43     public static int compute2(int x) {
44     int loops = (x >>> 4) & 7;
45     while (loops-- > 0) {
46     x = (x * 2147483647) % 16807;
47     }
48     return x;
49     }
50    
51     /**
52     * Yet another random number generator
53     */
54     public static int compute3(int x) {
55     int t = (x % 127773) * 16807 - (x / 127773) * 2836;
56     return (t > 0)? t : t + 0x7fffffff;
57     }
58    
59     /**
60     * Yet another random number generator
61     */
62     public static int compute4(int x) {
63     return x * 134775813 + 1;
64     }
65    
66    
67     /**
68     * Yet another random number generator
69     */
70     public static int compute5(int x) {
71     return 36969 * (x & 65535) + (x >> 16);
72     }
73    
74 dl 1.3 /**
75     * Marsaglia xorshift (1, 3, 10)
76     */
77 dl 1.4 public static int compute6(int seed) {
78     seed ^= seed << 1;
79     seed ^= seed >>> 3;
80     seed ^= (seed << 10);
81     return seed;
82 dl 1.3 }
83    
84     /**
85     * Marsaglia xorshift (6, 21, 7)
86     */
87     public static int compute7(int y) {
88     y ^= y << 6;
89     y ^= y >>> 21;
90     y ^= (y << 7);
91     return y;
92     }
93    
94    
95     /**
96     * Marsaglia xorshift for longs
97     */
98     public static long compute8(long x) {
99     x ^= x << 13;
100     x ^= x >>> 7;
101     x ^= (x << 17);
102     return x;
103     }
104    
105 dl 1.4 public static final class XorShift32Random {
106     static final AtomicInteger seq = new AtomicInteger(8862213);
107     int x = -1831433054;
108     public XorShift32Random(int seed) { x = seed; }
109     public XorShift32Random() {
110     this((int)System.nanoTime() + seq.getAndAdd(129));
111     }
112     public int next() {
113     x ^= x << 6;
114     x ^= x >>> 21;
115     x ^= (x << 7);
116     return x;
117     }
118     }
119    
120 dl 1.3
121     /** Multiplication-free RNG from Marsaglia "Xorshift RNGs" paper */
122 dl 1.4 public static final class MarsagliaRandom {
123     static final AtomicInteger seq = new AtomicInteger(3122688);
124 dl 1.3 int x;
125     int y = 842502087;
126 dl 1.4 int z = -715159705;
127 dl 1.3 int w = 273326509;
128 dl 1.4 public MarsagliaRandom(int seed) { x = seed; }
129     public MarsagliaRandom() {
130     this((int)System.nanoTime() + seq.getAndAdd(129));
131     }
132 dl 1.3 public int next() {
133     int t = x ^ (x << 11);
134     x = y;
135     y = z;
136     z = w;
137 dl 1.4 return w = (w ^ (w >>> 19) ^ (t ^ (t >>> 8)));
138 dl 1.3 }
139     }
140 dl 1.1
141     /**
142 dl 1.4 * Unsynchronized version of java.util.Random algorithm.
143 dl 1.1 */
144 dl 1.4 public static final class SimpleRandom {
145 dl 1.1 private final static long multiplier = 0x5DEECE66DL;
146     private final static long addend = 0xBL;
147     private final static long mask = (1L << 48) - 1;
148 dl 1.4 static final AtomicLong seq = new AtomicLong( -715159705);
149     private long seed;
150    
151     SimpleRandom(long s) {
152     seed = s;
153     }
154    
155     SimpleRandom() {
156     seed = System.nanoTime() + seq.getAndAdd(129);
157     }
158 dl 1.1
159     public void setSeed(long s) {
160     seed = s;
161     }
162    
163     public int next() {
164     long nextseed = (seed * multiplier + addend) & mask;
165     seed = nextseed;
166     return ((int)(nextseed >>> 17)) & 0x7FFFFFFF;
167     }
168     }
169    
170     public static class BarrierTimer implements Runnable {
171     public volatile long startTime;
172     public volatile long endTime;
173     public void run() {
174     long t = System.nanoTime();
175     if (startTime == 0)
176     startTime = t;
177     else
178     endTime = t;
179     }
180     public void clear() {
181     startTime = 0;
182     endTime = 0;
183     }
184     public long getTime() {
185     return endTime - startTime;
186     }
187     }
188    
189     public static String rightJustify(long n) {
190     // There's probably a better way to do this...
191     String field = " ";
192     String num = Long.toString(n);
193     if (num.length() >= field.length())
194     return num;
195     StringBuffer b = new StringBuffer(field);
196     b.replace(b.length()-num.length(), b.length(), num);
197     return b.toString();
198     }
199    
200     }