AD Teaching Wiki
  • Comments
  • Edit
  • Menu
    • Navigation
    • RecentChanges
    • FindPage
    • Local Site Map
    • Help
    • HelpContents
    • HelpOnMoinWikiSyntax
    • Display
    • Attachments
    • Info
    • Raw Text
    • Print View
    • Edit
    • Load
    • Save
  • Login

FrontPage

Links

  • Daphne

  • Forum

  • SVN

  • CodingStandards

Previous Courses

  • WS 19/20

  • WS 18/19

  • WS 17/18

  • WS 16/17

  • WS 15/16

  • WS 13/14

  • WS 12/13

Revision 25 as of 2021-11-26 00:28:19
AD Teaching Wiki:
  • InformationRetrievalWS2122
  • ResultsES5

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

ss1857

1000ms

49910

49077

825ms

27204

266

4936ms

2170

1

ped_python

Macbook Air M1, 8 GB RAM

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

2703ms

49910

49077

2780ms

27204

266

5875ms

2170

1

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

mk1243

495ms

49910

49077

279ms

27204

266

478ms

2170

1

ped_c

Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz, 8GB RAM

ls943

1562ms

49910

49077

1671ms

27204

266

1343ms

2170

1

ped_python

AMD FX-6300, 8GB RAM

tk334

478ms

49910

49077

475ms

27204

266

1823ms

2170

1

ped_c

intel Xeon V2 @ 3,5GHz 16GB RAM

ma441

376ms

49910

49077

246ms

27204

266

754ms

2170

1

ped_c

Intel(R) Core(TM) i3-8145U CPU @ 2.10GHz, 8GB RAM

tv68

280ms

49910

49077

1255ms

27204

266

1671ms

2170

1

ped_c

AMD Ryzen 5 1600X CPU @ 3.60GHz, 16 GB RAM (used only 4 cores and 4 GB RAM because of restrictions for VM)

cg278

276ms

49910

49077

307ms

27204

266

1135ms

2170

1

ped_c

Apple M1 @ 3.20GHz, 16GB RAM

ba102

622ms

73705

49782

2611ms

156928

264

1578ms

6095

1

ped_python

11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz, 16 GB RAM (It's a dual-boot system and I forgot the settings I configured it to use for Linux)

hg132

875ms

52341

49077

906ms

27204

266

1500ms

6768

1

ped_python

i5 5th gen (32gb Ram)

pf81

218ms

49910

49077

332ms

27204

266

742ms

2170

1

ped_c

Apple M1, 8GB RAM

as1586

404 ms

49910

49077

239 ms

27204

266

377 ms

2170

1

ped_c

Intel® Core™ i7-7500U CPU @ 2.70GHz × 4, 8 GB RAM

ps541

1611 ms

4091

12

1256 ms

7660

26

3108 ms

1199

1

ped_c

Intel® Core™ i5-10th Gen, 8 GB RAM

  • MoinMoin Powered
  • Python Powered
  • GPL licensed
  • Valid HTML 4.01