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rapport, and not drawing when n > 20000

master
mortie 7 years ago
parent
commit
3e40b3abb3
3 changed files with 64 additions and 0 deletions
  1. 14
    0
      inf2440/hw4/Oblig4.java
  2. 8
    0
      inf2440/hw4/output.txt
  3. 42
    0
      inf2440/hw4/rapport.txt

+ 14
- 0
inf2440/hw4/Oblig4.java View File

@@ -43,6 +43,20 @@ abstract class Oblig4 {
// Requires x, y, n, MAX_X, MAX_Y, and coHull
// to be filled out.
Thread draw() {
if (n > 20000) {
System.out.println(name+": Too many dots to draw.");
return null;
}

System.out.println(name+" coHull: ");
for (int i = 0; i < coHull.size(); ++i) {
if (i == 0)
System.out.print(coHull.get(i));
else
System.out.print(", "+coHull.get(i));
}
System.out.println("");

DrawThread t = new DrawThread(this);
t.start();
return t;

+ 8
- 0
inf2440/hw4/output.txt View File

@@ -0,0 +1,8 @@
Filling...
Done.
Sequential: 886.05μs
Parallel: 2.76ms (0.32x speedup)
Sequential coHull:
290, 396, 896, 782, 178, 172, 433, 466, 228, 341, 836, 588, 789, 212, 83, 275, 551, 826, 840, 712, 311, 326, 62, 432, 196, 214, 98, 154, 615, 643, 922, 828, 394, 181, 783, 67, 721, 938, 932, 69, 682, 237, 545, 732, 569, 110, 785, 485
Parallel coHull:
290, 396, 896, 782, 178, 172, 433, 466, 228, 341, 836, 588, 789, 212, 83, 275, 551, 826, 840, 712, 311, 326, 62, 432, 196, 214, 98, 154, 615, 643, 922, 828, 394, 181, 783, 67, 721, 938, 932, 69, 682, 237, 545, 732, 569, 110, 785, 485

+ 42
- 0
inf2440/hw4/rapport.txt View File

@@ -0,0 +1,42 @@
Kompilering: `javac *.java`
Kjøring: `java Main <tall>`

# Eksempelutskrift

I filen output.txt finner du et eksempel på å kjøre `java Main 1000`.

# Tider

CPU: Intel Core(TM) i7-6700K @ 4.00GHz

Jeg aner ikke hvorfor jeg får så dårlig speed-up på n=1 million, men det skjer
konsekvent hver gang, både på desktopen og serveren min.

100:
* Sekvensiell: 312.89μs
* Parallell: 2.83ms (0.11x speedup)

1 000:
* Sekvensiell: 721.01μs
* Parallell: 2.78ms (0.26x speedup)

10 000:
* Sekvensiell: 3.56ms
* Parallell: 3.72ms (0.96x speedup)

100 000:
* Sekvensiell: 27.53ms
* Parallell: 21.84ms (1.26x speedup)

1 000 000:
* Sekvensiell: 60.21ms
* Parallell: 122.83ms (0.49x speedup)

10 000 000:
* Sekvensiell: 452.31ms
* Parallell: 313.85ms (1.44x speedup)

100 000 000:
* Sekvensiell: 3.81s
* Parallell: 2.66s (1.44x speedup)


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