Results for Exercise Sheet 5 (q-Gram Index)
Add your row to the table below, following the examples already there. Time B is the time for the baseline. Time Q is the time using the q-gram index. #PEDs Q is the number of PED computations done with the q-gram based algorithm.
In the first column, write your first name, or name1+name2 if you work in a group.
Note: The original dataset had encoding issues. Please measure your times using the current dataset (Sunday, November 22nd, 17:35h).
Name |
Query: The H |
Query: Terinator |
Query: Figct Cl |
Processor / RAM |
Language |
|||||||
Time B |
Time Q |
#PEDs Q |
Time B |
Time Q |
#PEDs Q |
Time B |
Time Q |
#PEDs Q |
||||
Elmar |
3,912ms |
1,218ms |
48,518 |
12,254ms |
107ms |
8,060 |
1,071ms |
3ms |
5 |
Intel i5-2520M @ 2.50GHz / 8GB |
Python |
|
Matia |
3,423ms |
1,259ms |
49,229 |
11,800ms |
239ms |
1,240 |
7,792ms |
8ms |
8 |
Intel i5 @ 2.60GHz / 8GB |
Python |
|
Marco |
257ms |
62ms |
31,900 |
521ms |
92ms |
31,953 |
336ms |
14ms |
5506 |
Intel i5 @ 2.60GHz / 8GB |
Java |
|
Raghu |
45,120ms |
14,155ms |
49,229 |
154,070ms |
2558ms |
1,240 |
101,053ms |
125ms |
8 |
AMD A6 @ 1.80 GHz / 4GB |
Python |
|
Jay |
4,168ms |
919ms |
34,797 |
13,249ms |
3,379ms |
41,125 |
8,816ms |
639ms |
11,783 |
i7-4510U @ 2.00GHz / 8GB |
Python |
|
Evgeny + Numair |
4,875ms |
1,834ms |
49,229 |
10,630ms |
271ms |
1,240 |
8,298ms |
19ms |
8 |
Intel i5 @ 3.50 GHz - 16 GB RAM |
Python |
|