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source: branches/Benchmarking/sources/HeuristicLab.Algorithms.Benchmarks/3.3/WhetstoneAlgorithm.cs @ 7002

Last change on this file since 7002 was 7002, checked in by ascheibe, 12 years ago

#1659

  • fixed errors found by unit tests
  • set references to copylocal=false
  • added missing platforms to project files
File size: 8.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Diagnostics;
24using System.Drawing;
25using System.Threading;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Optimization;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Algorithms.Benchmarks {
33  [Item("Whetstone Algorithm", "Whetstone benchmarking algorithm.")]
34  [StorableClass]
35  public class WhetstoneBenchmark : IBenchmark {
36    [Storable]
37    private byte[][] chunk;
38    public byte[][] ChunkData {
39      get { return chunk; }
40      set { chunk = value; }
41    }
42
43    [Storable]
44    private TimeSpan timeLimit;
45    public TimeSpan TimeLimit {
46      get { return timeLimit; }
47      set { timeLimit = value; }
48    }
49
50    private bool stopBenchmark;
51
52    private CancellationToken cancellationToken;
53
54    public string ItemName {
55      get { return ItemAttribute.GetName(this.GetType()); }
56    }
57
58    public string ItemDescription {
59      get { return ItemAttribute.GetDescription(this.GetType()); }
60    }
61
62    public Version ItemVersion {
63      get { return ItemAttribute.GetVersion(this.GetType()); }
64    }
65
66    public Image ItemImage {
67      get { return HeuristicLab.Common.Resources.VSImageLibrary.Event; }
68    }
69
70    #region Benchmark Fields
71
72    private long begin_time;
73    private long end_time;
74
75    private int ITERATIONS;
76    private int numberOfCycles;
77    private int cycleNo;
78    private double x1, x2, x3, x4, x, y, t, t1, t2;
79    private double[] z = new double[1];
80    private double[] e1 = new double[4];
81    private int i, j, k, l, n1, n2, n3, n4, n6, n7, n8, n9, n10, n11;
82
83    #endregion
84
85    #region Costructors
86
87    [StorableConstructor]
88    public WhetstoneBenchmark(bool deserializing) { }
89
90    public WhetstoneBenchmark() { }
91
92    protected WhetstoneBenchmark(WhetstoneBenchmark original, Cloner cloner) {
93      cloner.RegisterClonedObject(original, this);
94    }
95
96    #endregion
97
98    #region Whetstone Benchmark
99    // implementation based on Java version: www.aicas.com/download/Whetstone.java
100
101    public void Run(CancellationToken token, ResultCollection results) {
102      cancellationToken = token;
103      stopBenchmark = false;
104
105      ITERATIONS = 100; // ITERATIONS / 10 = Millions Whetstone instructions
106
107      numberOfCycles = 100;
108      int defaultNumberOfRuns = 10;
109      float elapsedTime = 0;
110      float meanTime = 0;
111      float rating = 0;
112      float meanRating = 0;
113      int intRating = 0;
114
115      long runNumber = 1;
116      Stopwatch sw = new Stopwatch();
117      sw.Start();
118
119      while (!stopBenchmark) {
120        elapsedTime = (float)(MainCalc() / 1000);
121        meanTime = meanTime + (elapsedTime * 1000 / numberOfCycles);
122        rating = (1000 * numberOfCycles) / elapsedTime;
123        meanRating = meanRating + rating;
124        intRating = (int)rating;
125        numberOfCycles += 10;
126
127        if (cancellationToken.IsCancellationRequested) {
128          throw new OperationCanceledException(cancellationToken);
129        }
130
131        if ((timeLimit == null) || (timeLimit.TotalMilliseconds == 0)) {
132          if (runNumber > defaultNumberOfRuns) {
133            stopBenchmark = true;
134          }
135        } else if (sw.Elapsed > timeLimit) {
136          stopBenchmark = true;
137        }
138
139        runNumber++;
140      }
141      sw.Stop();
142      meanTime = meanTime / runNumber;
143      meanRating = meanRating / runNumber;
144      intRating = (int)meanRating;
145
146      results.Add(new Result("MWIPS", new IntValue(intRating / 1000)));
147    }
148
149    private double MainCalc() {
150      // initialize constants
151      t = 0.499975;
152      t1 = 0.50025;
153      t2 = 2.0;
154
155      // set values of module weights
156      n1 = 0 * ITERATIONS;
157      n2 = 12 * ITERATIONS;
158      n3 = 14 * ITERATIONS;
159      n4 = 345 * ITERATIONS;
160      n6 = 210 * ITERATIONS;
161      n7 = 32 * ITERATIONS;
162      n8 = 899 * ITERATIONS;
163      n9 = 616 * ITERATIONS;
164      n10 = 0 * ITERATIONS;
165      n11 = 93 * ITERATIONS;
166
167      begin_time = DateTime.Now.Ticks / 10000; // get ms
168
169      for (cycleNo = 1; cycleNo <= numberOfCycles; cycleNo++) {
170        /* MODULE 1: simple identifiers */
171        x1 = 1.0;
172        x2 = x3 = x4 = -1.0;
173        for (i = 1; i <= n1; i += 1) {
174          x1 = (x1 + x2 + x3 - x4) * t;
175          x2 = (x1 + x2 - x3 + x4) * t; // correction: x2 = ( x1 + x2 - x3 - x4 ) * t;
176          x3 = (x1 - x2 + x3 + x4) * t; // correction: x3 = ( x1 - x2 + x3 + x4 ) * t;
177          x4 = (-x1 + x2 + x3 + x4) * t;
178        }
179
180        /* MODULE 2: array elements */
181        e1[0] = 1.0;
182        e1[1] = e1[2] = e1[3] = -1.0;
183        for (i = 1; i <= n2; i += 1) {
184          e1[0] = (e1[0] + e1[1] + e1[2] - e1[3]) * t;
185          e1[1] = (e1[0] + e1[1] - e1[2] + e1[3]) * t;
186          e1[2] = (e1[0] - e1[1] + e1[2] + e1[3]) * t;
187          e1[3] = (-e1[0] + e1[1] + e1[2] + e1[3]) * t;
188        }
189
190        /* MODULE 3: array as parameter */
191        for (i = 1; i <= n3; i += 1)
192          pa(e1);
193
194        /* MODULE 4: conditional jumps */
195        j = 1;
196        for (i = 1; i <= n4; i += 1) {
197          if (j == 1)
198            j = 2;
199          else
200            j = 3;
201          if (j > 2)
202            j = 0;
203          else
204            j = 1;
205          if (j < 1)
206            j = 1;
207          else
208            j = 0;
209        }
210
211        /* MODULE 5: omitted */
212
213        /* MODULE 6: integer arithmetic */
214        j = 1;
215        k = 2;
216        l = 3;
217        for (i = 1; i <= n6; i += 1) {
218          j = j * (k - j) * (l - k);
219          k = l * k - (l - j) * k;
220          l = (l - k) * (k + j);
221          e1[l - 2] = j + k + l; /* C arrays are zero based */
222          e1[k - 2] = j * k * l;
223        }
224
225        /* MODULE 7: trig. functions */
226        x = y = 0.5;
227        for (i = 1; i <= n7; i += 1) {
228          x = t * Math.Atan(t2 * Math.Sin(x) * Math.Cos(x) / (Math.Cos(x + y) + Math.Cos(x - y) - 1.0));
229          y = t * Math.Atan(t2 * Math.Sin(y) * Math.Cos(y) / (Math.Cos(x + y) + Math.Cos(x - y) - 1.0));
230        }
231
232        /* MODULE 8: procedure calls */
233        x = y = z[0] = 1.0;
234        for (i = 1; i <= n8; i += 1)
235          p3(x, y, z);
236
237        /* MODULE9: array references */
238        j = 0;
239        k = 1;
240        l = 2;
241        e1[0] = 1.0;
242        e1[1] = 2.0;
243        e1[2] = 3.0;
244        for (i = 1; i <= n9; i++)
245          p0();
246
247        /* MODULE10: integer arithmetic */
248        j = 2;
249        k = 3;
250        for (i = 1; i <= n10; i += 1) {
251          j = j + k;
252          k = j + k;
253          j = k - j;
254          k = k - j - j;
255        }
256
257        /* MODULE11: standard functions */
258        x = 0.75;
259        for (i = 1; i <= n11; i += 1)
260          x = Math.Sqrt(Math.Exp(Math.Log(x) / t1));
261      } /* for */
262
263      end_time = DateTime.Now.Ticks / 10000; // get ms
264
265      return (end_time - begin_time);
266    }
267
268    public void pa(double[] e) {
269      int j;
270      j = 0;
271      do {
272        e[0] = (e[0] + e[1] + e[2] - e[3]) * t;
273        e[1] = (e[0] + e[1] - e[2] + e[3]) * t;
274        e[2] = (e[0] - e[1] + e[2] + e[3]) * t;
275        e[3] = (-e[0] + e[1] + e[2] + e[3]) / t2;
276        j += 1;
277      }
278      while (j < 6);
279    }
280
281    public void p3(double x, double y, double[] z) {
282      x = t * (x + y);
283      y = t * (x + y);
284      z[0] = (x + y) / t2;
285    }
286
287    public void p0() {
288      e1[j] = e1[k];
289      e1[k] = e1[l];
290      e1[l] = e1[j];
291    }
292
293    #endregion
294
295    #region Clone
296
297    public IDeepCloneable Clone(Cloner cloner) {
298      return new WhetstoneBenchmark(this, cloner);
299    }
300
301    public object Clone() {
302      return Clone(new Cloner());
303    }
304
305    #endregion
306
307    #region Events
308
309    public event EventHandler ItemImageChanged;
310    protected virtual void OnItemImageChanged() {
311      EventHandler handler = ItemImageChanged;
312      if (handler != null) handler(this, EventArgs.Empty);
313    }
314
315    public event EventHandler ToStringChanged;
316    protected virtual void OnToStringChanged() {
317      EventHandler handler = ToStringChanged;
318      if (handler != null) handler(this, EventArgs.Empty);
319    }
320
321    #endregion
322  }
323}
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