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 |
|
ul18 |
530ms |
49910 |
49077 |
577ms |
27204 |
266 |
452ms |
2170 |
1 |
ped_python |
AMD Ryzen 7 3700X CPU @ 3.60GHz, 32GB RAM |
|
rw159 |
465ms |
52341 |
49077 |
254ms |
27204 |
266 |
504ms |
6473 |
1 |
ped_c |
Intel(R) Core(TM) i5-10210U CPU @ 1.60GHz, 32GB RAM |
|
mr716 |
7194ms |
49910 |
139 |
3363ms |
77114 |
44 |
7045ms |
79284 |
0 |
ped_python |
Intel(R) Core(TM) i7-10th gen , 8GB RAM |
|
ae185 |
380ms |
49910 |
49077 |
227ms |
27204 |
266 |
427ms |
2170 |
1 |
ped_c |
Intel(R) Core(TM) i7-8565U CPU @ 1.80GHz, 16GB RAM |
|