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Size: 2061
Comment:
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Size: 2209
Comment: Values for cd100 - Looks like something is not implemented as efficiently as it could be
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| ||cd100 ||574ms ||37833 ||37149 ||832ms ||21816 ||227 ||4292ms ||1809 ||1 ||ped_python ||Intel Core i7-10700F 8-Core Processor, 32 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.
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: breif |
Query: the shanksha redemption |
PED Module |
Processor / RAM |
|||||||
Time |
#PED |
#RES |
Time |
#PED |
#RES |
Time |
#PED |
#RES |
||||
np1042 |
570ms |
37833 |
37149 |
519ms |
21816 |
227 |
1353ms |
1809 |
1 |
ped_python |
AMD Ryzen 7 3700X 8-Core Processor, 128 GB RAM |
|
np1042 |
361ms |
37833 |
37149 |
216ms |
21816 |
227 |
985ms |
1809 |
1 |
ped_c |
AMD Ryzen 7 3700X 8-Core Processor, 128 GB RAM |
|
cd100 |
574ms |
37833 |
37149 |
832ms |
21816 |
227 |
4292ms |
1809 |
1 |
ped_python |
Intel Core i7-10700F 8-Core Processor, 32 GB RAM |
|