#acl All:read,write
= 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.
||<tablewidth="&quot" tableheight="&quot" tablestyle="&quot; &amp; quot;  &amp; amp;  quot;   100%&amp; amp;  amp;   quot;   ;   auto&amp; amp;  amp;   quot&amp; amp;  quot;   ;  &amp; amp;  amp;  quot&amp; amp;  quot;  ;  &amp; amp;  amp;  quot&amp; amp;  quot&amp; quot;  ; &amp; amp; quot&amp; quot; ; &amp; amp; quot&amp; quot&quot; ;&amp;quot&quot;;&amp;quot&quot"style="&quot; &amp; quot;  &amp; amp;  quot;   &amp; amp;  amp;   quot;text-align:center&amp; amp;  amp;   quot;   &amp; amp;  quot;  &amp; quot; &quot;" |2>'''Name''' ||||||<style="&quot; &amp; quot;  &amp; amp;  quot;text-align:center&amp; amp;  quot;  &amp; quot; &quot;">'''Query: the''' ||||||<style="&quot; &amp; quot;  &amp; amp;  quot;text-align:center&amp; amp;  quot;  &amp; quot; &quot;">'''Query: breib''' ||||||<style="&quot; &amp; quot;  &amp; amp;  quot;text-align:center&amp; amp;  quot;  &amp; quot; &quot;">'''Query: the BIG lebauski''' ||<style="&quot; &amp; quot;  &amp; amp;  quot;text-align:center&amp; amp;  quot;  &amp; quot; &quot;" |2>'''PED Module''' ||||<style="&quot; &amp; quot;  &amp; amp;  quot;text-align:center&amp; amp;  quot;  &amp; quot; &quot;" |2>'''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 ||
|| 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 || 15812ms || 49910 || 49077 || 10625ms || 27204 || 266 || 57780ms || 268457 || 2 || 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) ||