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||np151||1030ms||118325||6267||230ms||15165||1080||286ms||1591||2||Python||i7 12700H|| | ||np151||1030ms||118325<<BR>>118325||6267||230ms||15165<<BR>>61374||1080||367ms||1691<<BR>>108391||1||Python||AMD Ryzen 5 7600X|| ||ag696||1256ms||118325<<BR>>118325||218||814ms||30447<<BR>>30447||2||1364ms||47806<<BR>>47806||0||Python||Apple M2|| ||aa272||1400ms||118325<<BR>>118325||1802||280ms||15165<<BR>>61374||52||210ms||1454<<BR>>108391||0||Python||AMD Ryzen 9 3900X|| |
Results for Exercise Sheet 7 (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 actual and potential PED computations (#PED), and the number of returned results (#RES). In the last two columns, give details about the PED and merge implementation you are using (Rust or Python) and your CPU.
Name |
Query: comp |
Query: frieb |
Query: greanbay pakrs |
PED and merge implementation |
CPU |
|||||||
Time |
#PED |
#RES |
Time |
#PED |
#RES |
Time |
#PED |
#RES |
||||
sw1169 |
215ms |
118325 |
6267 |
110ms |
15165 |
1080 |
118ms |
1454 |
1 |
Rust |
i7 9750H |
|
sw1169 |
1595ms |
118325 |
6267 |
417ms |
15165 |
1080 |
332ms |
1454 |
1 |
Python |
i7 9750H |
|
sf373 |
206ms |
118325 |
1802 |
84ms |
15165 |
52 |
208ms |
1691 |
0 |
Rust |
AMD Ryzen 5 3550H |
|
pw194 |
108ms |
118325 |
6267 |
46ms |
15165 |
1080 |
53ms |
1454 |
1 |
Rust |
AMD Ryzen 7 5800H |
|
ms2261 |
108ms |
118325 |
166 |
30ms |
15165 |
24 |
32ms |
1454 |
0 |
Rust |
AMD Ryzen 7 5700X |
|
th357 |
670ms |
118325 |
6267 |
113ms |
15165 |
1080 |
55ms |
1454 |
1 |
Rust |
Intel i7 |
|
eg231 |
240ms |
118325 |
6267 |
75ms |
15165 |
1080 |
53ms |
1454 |
1 |
Rust |
M1 |
|
jk867 |
153ms |
118325 |
6267 |
130ms |
15165 |
1080 |
95ms |
1454 |
1 |
Rust |
i7 1068NG7 |
|
md480 |
473ms |
118325 |
6267 |
224ms |
15165 |
1080 |
377ms |
1454 |
1 |
Rust |
AMD Ryzen 5 2600 |
|
mh1346 |
269ms |
118325 |
118325 |
75ms |
15165 |
15165 |
91ms |
151 |
151 |
Rust |
AMD Ryzen 7 3750H |
|
le123 |
530ms |
118325 |
118325 |
100ms |
15165 |
1080 |
67ms |
1454 |
1 |
Rust |
i7-7500U |
|
tr224 |
666ms |
118325 |
6267 |
126ms |
15165 |
1080 |
77ms |
1454 |
1 |
Rust |
i7 9750H |
|
os141 |
382ms |
118325 |
6267 |
94ms |
15165 |
1080 |
86ms |
1454 |
1 |
Rust |
M1 |
|
fr268 |
422ms |
118325 |
6267 |
89ms |
15165 |
1080 |
61ms |
1454 |
1 |
Rust |
AMD Ryzen 5 3600 |
|
mp526 |
438ms |
112636 |
1821 |
120ms |
14355 |
49 |
152ms |
1357 |
0 |
Rust |
AMD Ryzen 7 3700U |
|
mv276 |
11600ms |
118325 |
6267 |
2000ms |
15165 |
1080 |
3000ms |
1454 |
1 |
Python |
i5-1035G1 400 MHz |
|
mv276 |
3000ms |
118325 |
6267 |
580ms |
15165 |
1080 |
1000ms |
1454 |
1 |
Rust |
i5-1035G1 400 MHz |
|
ap369 |
1692ms |
118325 |
1802 |
443ms |
15165 |
52 |
408ms |
1691 |
0 |
Python |
Intel i5-8250U |
|
sm792 |
326ms |
118325 |
1802 |
125ms |
15165 |
52 |
138ms |
149 |
0 |
Rust |
Intel i5-1035G4 |
|
rs476 |
20.91ms |
9163 |
9073 |
5.49ms |
4270 |
841 |
4.9ms |
6200 |
125 |
Rust |
Intel Core i7-3930k@320GHz |
|
rs505 |
336ms |
118325 |
6267 |
67ms |
15165 |
1080 |
39ms |
1691 |
1 |
Rust |
Intel i5-11400 |
|
rs505 |
978ms |
118325 |
6267 |
209ms |
15165 |
1080 |
154ms |
1691 |
1 |
Python |
Intel i5-11400 |
|
br124 |
635ms |
118325 |
118325 |
122ms |
15165 |
15165 |
70ms |
1454 |
1 |
Rust |
AMD Ryzen 7 4800HS |
|
mg709 |
80ms |
118325 |
1802 |
25ms |
15165 |
52 |
28ms |
1454 |
0 |
Rust |
i7 12700H |
|
np151 |
1030ms |
118325 |
6267 |
230ms |
15165 |
1080 |
367ms |
1691 |
1 |
Python |
AMD Ryzen 5 7600X |
|
ag696 |
1256ms |
118325 |
218 |
814ms |
30447 |
2 |
1364ms |
47806 |
0 |
Python |
Apple M2 |
|
aa272 |
1400ms |
118325 |
1802 |
280ms |
15165 |
52 |
210ms |
1454 |
0 |
Python |
AMD Ryzen 9 3900X |