AD Teaching Wiki:

Your experimental results for exercise sheet 6

Please sumarize your results from exercise sheet 6 in a row in the table below. In the first column, write your name (abbreviate if you are in a group, to keep it short). In the second column, put the programming language you used (C++ or Java). In the third column put the first preprocessing time (in seconds), the threshold (= number of transit nodes), the value Sum_u |X(u)|. In the fourth column put the preprocessing time which is needed to calculate dist(x,y) for all transit nodes x,y. In the fifth column put the name of the dataset you computed these average times on (preferably Ba-Wü, but if that didn't work Saarland). In the last column put the used hardware.

Name

Language

Preproc.: dur./threshold/Sum |X(u)|

Preproc.: dist(x,y)

Query-Time / avg. |X(source)| * |Y(target)|

 Dataset

Hardware

Adrian,Kevin,Christoph

C++

132s / 966 / 1.4M

539s

Saarland

Intel Xeon X5560 @ 2.8GHz

Adrian,Kevin,Christoph

C++

5039s / 1123 / 89M

2744s

?

BaWü

Intel Xeon X5560 @ 2.8GHz

(*1) Eugen

C++

12s / 435 / 2.3M

18s

0.032ms / 174

Saarland

Intel i5 750 @ 2.7GHz

(*2) Eugen

C++

9s / 754 / 1.5M

63s

0.026ms / 112

Saarland

Intel i5 750 @ 2.7GHz

Mirko,Dirk,Kyanoush

C++

18s / 500 / 3M

10s

0.1ms / 684

Saarland

Intel Core2Duo 2.4GHz

Mirko,Dirk,Kyanoush

C++

9s / 2000 / 1.6M

312s

0.0046ms / 41

Saarland

Intel Core2Duo 2.4GHz

Markus,Oleksii,Stefan

Java

480s / 500 / 1.3M

240s

0.045ms / ?

Saarland

Intel i5 M430 @ 2.27GHz

1.6%(*1) and 0.87%(*2) local searches out of 100k samples

AD Teaching Wiki: EfficientRoutePlanningSS2011/Experiments4 (last edited 2011-07-22 13:41:35 by remote190-235)