|
Size: 1599
Comment:
|
Size: 1770
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 13: | Line 13: |
| || jr74+tw246 || 439ms || 49910 || 49077 || 473ms || 27204 || 266 || 2035ms || 2170 || 1 || ped_c || Processor Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz, 8 GB RAM (VM) || |
Results for Exercise Sheet 5 (q-Gram Index)
Add your row to the table below, following the examples already there. In the first column, write your account name, or name1+name2 if you work in a group.
For each query, write down the total query time (Time), the number of needed PED computations (#PED) and the number of returned results (#RES). In the last two columns, give details about the provided PED module you are using (either ped_c or ped_python) and your local machine.
Name |
Query: the |
Query: breib |
Query: the BIG lebauski |
PED Module |
Processor / RAM |
|||||||
Time |
#PED |
#RES |
Time |
#PED |
#RES |
Time |
#PED |
#RES |
||||
pb1042 |
478ms |
49910 |
49077 |
235ms |
27204 |
266 |
542ms |
2170 |
1 |
ped_c |
Intel Core i5-5 @ 2.00GHz, 32 GB RAM |
|
pb1042 |
1151ms |
49910 |
49077 |
1169ms |
27204 |
266 |
1094ms |
2170 |
1 |
ped_python |
Intel Core i5-5 @ 2.00GHz, 32 GB RAM |
|
sw540 |
233ms |
49910 |
49077 |
132ms |
27204 |
266 |
274ms |
2170 |
1 |
ped_c |
Intel Core i7-9750H @ 2.60GHz, 32 GB RAM |
|
fm213 |
723ms |
49910 |
49077 |
859ms |
27204 |
266 |
4033ms |
2170 |
1 |
ped_c |
Intel Core i5-4300U @ 1.90GHz, 8 GB RAM |
|
jr74+tw246 |
439ms |
49910 |
49077 |
473ms |
27204 |
266 |
2035ms |
2170 |
1 |
ped_c |
Processor Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz, 8 GB RAM (VM) |
|