|
Size: 1393
Comment:
|
Size: 1391
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 10: | Line 10: |
| ||Anup ||<:> 4,155ms ||<:> 661ms ||<:> 34,797 ||<:> 6,610ms ||<:> 868ms ||<:> 41,028 ||<:> 3,571ms ||<:> 544ms ||<:> 11,783 || Intel Core i3 / 6GB || Python || | ||Matia ||<:> 3,423s ||<:> 1,259s ||<:> 49,229 ||<:> 11,800s ||<:> 239ms ||<:> 1,240 ||<:> 7,792s ||<:> 8ms ||<:> 8 || Intel i5 @ 2.60GHz / 8GB || Python || |
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.
Name |
Query: The H |
Query: Ter,inator |
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 |
4,591ms |
1,460ms |
49,226 |
15,523ms |
125ms |
1,240 |
1,071ms |
3ms |
8 |
Intel i5-2520M @ 2.50GHz / 8GB |
Python |
|
Matia |
3,423s |
1,259s |
49,229 |
11,800s |
239ms |
1,240 |
7,792s |
8ms |
8 |
Intel i5 @ 2.60GHz / 8GB |
Python |
|