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| || ak904 || 655ms || 49910 || 49077 || 403ms || 27204 || 266 || 994ms || 2170 || 1 || ped_c || 2.7 GHz Dual-Core Intel Core i5, 8 GB RAM || | || ak904 || 584ms || 49910 || 49077 || 362ms || 27204 || 266 || 791ms || 2170 || 1 || ped_c || 2.7 GHz Dual-Core Intel Core i5, 8 GB RAM || || aw221 || 1052ms || 49688 || 49077 || 1167ms || 27136 || 266 || 2228ms || 1265 || 1 || ped_python || 2,6 GHz 6-Core Intel Core i7, 16 GB RAM || || hc63 || 560ms || 49688 || 49077 || 601ms || 27136 || 266 || 2621ms || 1265 || 1 || ped_c || Intel Core i5-3320M @ 2.60GHz, 8 GB RAM || || ck76-td87 || 1287ms || 241066 || 199358 || 1714ms || 178351 || 15441 || 1489ms || 31 || 1 || ped_c || Intel Core i7-2670QM CPU @ 2.20GHz, 8 GB RAM || || mr427 || 650ms || 49910 || 49077 || 677ms || 27204 || 266 || 2708ms || 2170 || 1 || ped_c || Intel Core i5-5 @ 2.90GHz, 8 GB RAM || || ar479-ss1736 || 1186ms || 49910 || 49077 || 1241ms || 27204 || 266 || 900ms || 2170 || 1 || ped_python || Intel Core i7-7700HQ CPU @ 2.80GHz (8 CPUs), 8 GB RAM || || ek247 || 1342ms || 49910 || 49077 || 779ms || 27204 || 266 || 1153ms || 2170 || 1 || ped_c || Intel Core i5-4690 CPU @ 3.50GHz, 16 GB RAM (VM) || || rt53 || 433ms || 49910 || 49077 || 466ms || 27204 || 266 || 351ms || 2170 || 1 || ped_python || Ryzen 5 3600 @ 3.6GHz, 16GB DDR4-3600 (WSL, minimum of 5 tries) || || rt53 || 150ms || 49910 || 49077 || 88ms || 27204 || 266 || 172ms || 2170 || 1 || ped_c || Ryzen 5 3600 @ 3.6GHz, 16GB DDR4-3600 (WSL, minimum of 5 tries) || |
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 |
Intel(R) Core i7-8565U @ 1.80GHz, 8 GB RAM (VM) |
|
ak904 |
584ms |
49910 |
49077 |
362ms |
27204 |
266 |
791ms |
2170 |
1 |
ped_c |
2.7 GHz Dual-Core Intel Core i5, 8 GB RAM |
|
aw221 |
1052ms |
49688 |
49077 |
1167ms |
27136 |
266 |
2228ms |
1265 |
1 |
ped_python |
2,6 GHz 6-Core Intel Core i7, 16 GB RAM |
|
hc63 |
560ms |
49688 |
49077 |
601ms |
27136 |
266 |
2621ms |
1265 |
1 |
ped_c |
Intel Core i5-3320M @ 2.60GHz, 8 GB RAM |
|
ck76-td87 |
1287ms |
241066 |
199358 |
1714ms |
178351 |
15441 |
1489ms |
31 |
1 |
ped_c |
Intel Core i7-2670QM CPU @ 2.20GHz, 8 GB RAM |
|
mr427 |
650ms |
49910 |
49077 |
677ms |
27204 |
266 |
2708ms |
2170 |
1 |
ped_c |
Intel Core i5-5 @ 2.90GHz, 8 GB RAM |
|
ar479-ss1736 |
1186ms |
49910 |
49077 |
1241ms |
27204 |
266 |
900ms |
2170 |
1 |
ped_python |
Intel Core i7-7700HQ CPU @ 2.80GHz (8 CPUs), 8 GB RAM |
|
ek247 |
1342ms |
49910 |
49077 |
779ms |
27204 |
266 |
1153ms |
2170 |
1 |
ped_c |
Intel Core i5-4690 CPU @ 3.50GHz, 16 GB RAM (VM) |
|
rt53 |
433ms |
49910 |
49077 |
466ms |
27204 |
266 |
351ms |
2170 |
1 |
ped_python |
Ryzen 5 3600 @ 3.6GHz, 16GB DDR4-3600 (WSL, minimum of 5 tries) |
|
rt53 |
150ms |
49910 |
49077 |
88ms |
27204 |
266 |
172ms |
2170 |
1 |
ped_c |
Ryzen 5 3600 @ 3.6GHz, 16GB DDR4-3600 (WSL, minimum of 5 tries) |
|