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||np1042 ||ms ||47026 ||46182 ||235ms ||238294 ||335 ||542ms ||2204 ||1 ||ped_c ||Intel Core i5-7300U CPU @ 2.60GHz, 12 GB RAM || |
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: asdf |
Query: the shanksha redemption |
PED Module |
Processor / RAM |
|||||||
Time |
#PED |
#RES |
Time |
#PED |
#RES |
Time |
#PED |
#RES |
||||
np1042 |
915ms |
47026 |
46182 |
4325ms |
238294 |
335 |
1904ms |
2204 |
1 |
ped_python |
Intel Core i5-7300U CPU @ 2.60GHz, 12 GB RAM |