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#acl Claudius Korzen:read,write All:read = Results for Exercise Sheet 3 (Intersect) = Add your row to the table below, following the examples already there. Please write down the time in '''micro'''seconds as an integer, and the ratios as floats with '''exactly two digits of precision'''. In the first column, write your account name, or name1+name2 if you work in a group. Speedup is always measured as time_for_baseline / time_for_your_version (<1 = slower, >1 faster). In the last column '''briefly''' describe the improvements you implemented. As mentioned in the lecture, repeat each measurement '''5 times''' and take the average! ||'''Name''' || '''Average time'''||'''existence + bielefeld''' ||'''them + bielefeld'''||'''them + existence'''||'''Language'''||'''Machine Spec'''||'''Implementation Summary'''|| |
#acl All:read,write = Results for Exercise Sheet 3 (Intersecting Lists) = Add your row to the table below, following the examples already there. In the 1st column, write your account name, or name1+name2 if you work in a group. For each intersection result, write down (1) the runtime of the baseline algorithm, (2) the runtime of your improved algorithm (both in '''micro'''seconds as an integer) and (3) the speedup ratio as float with '''exactly two digits of precision''', measured as time_for_baseline / time_for_your_algorithm (<1 = slower, >1 = faster). In the last column '''briefly''' describe the improvements you implemented. || ||||||<style="text-align:center">''film + bowling'' ||||||<style="text-align:center">''film + rug'' ||||||<style="text-align:center">''bowling + rug'' ||||||<style="text-align:center"> || ||'''Name''' ||'''Baseline''' ||'''Yours''' ||'''Ratio''' ||'''Baseline''' ||'''Yours''' ||'''Ratio''' ||'''Baseline''' ||'''Yours''' ||'''Ratio''' ||'''Language''' ||'''Summary Improvements''' || ||ck1028 ||12920µs ||8796µs ||1.46 ||8570µs ||3298µs ||2.59 ||545µs ||520µs ||1.05 ||Java ||Combination of zipper algorithm & binary search in remainder of longer list; sentinels. || ||ck1028 ||1898µs ||1784µs ||1.06 ||1767µs ||260µs ||6.79 ||116µs ||65µs ||1.78 ||C++ ||Combination of zipper algorithm & galloping search; sentinels. || ||he41 ||8184µs ||1465µs ||5.59 ||8957µs ||1446µs ||6.19 ||2631µs ||1575µs ||1.67 ||Java ||Combination of zipper algorithm & galloping search; sentinels; Bitwise Operations. || ||ma269 ||1901µs ||1538µs ||1.24 ||1332µs ||566µs ||2.35 ||122µs ||52µs ||2.32 ||C++ ||Log(n)-step baseline or galloping search with sentinels. || ||cb382 + mz111 ||4842µs ||2992µs ||1.62 ||5428µs ||1487µs ||3.65 ||1687µs ||803µs ||2.10 ||Java ||Combination of zipper with sentinels & galloping search || ||yl100 ||2061µs ||1943µs ||1.06 ||1381µs ||483µs ||2.86 ||141µs ||66µs ||2.14 ||C++ ||Combination of zipper ,sentinels, and galloping search || ||fk234 ||2127µs ||1670µs ||1.27 ||1896 ||466 ||4.07 ||146µs ||91µs ||1.60 ||C++ ||Zipper algorithm with sentinels and galloping search || ||pk104 ||1514µs ||1318µs ||1.14 ||1293 ||355 ||3.65 ||95µs ||50µs ||1.87 ||C++ ||galloping search || ||pg152 ||17024µs ||11518µs ||1.47 ||12301µs ||3078µs ||3.99 ||4777µs ||1334µs ||3.58 ||Java ||Binsearch at beginning, Galloping at end || ||dd74 ||1785µs ||1951µs ||0.91 ||1631µs ||575µs ||2,84 ||144µs ||143µs ||1.01 ||C++ ||Zipper algorithm with sentinels, binary search || ||je113 ||2049µs ||1872µs ||1.09 ||1124µs ||497µs ||2,26 ||90µs ||89µs ||1.01 ||Java ||Skip pointers with sentinels || ||ck407 ||30959µs ||28967µs ||1.07 ||2102µs ||1168µs ||1.80 ||1447µs ||1098µs ||1.32 ||Java ||Combination of zipper with sentinels and galloping search. || |
Results for Exercise Sheet 3 (Intersecting Lists)
Add your row to the table below, following the examples already there. In the 1st column, write your account name, or name1+name2 if you work in a group. For each intersection result, write down (1) the runtime of the baseline algorithm, (2) the runtime of your improved algorithm (both in microseconds as an integer) and (3) the speedup ratio as float with exactly two digits of precision, measured as time_for_baseline / time_for_your_algorithm (<1 = slower, >1 = faster). In the last column briefly describe the improvements you implemented.
|
film + bowling |
film + rug |
bowling + rug |
|
||||||||
Name |
Baseline |
Yours |
Ratio |
Baseline |
Yours |
Ratio |
Baseline |
Yours |
Ratio |
Language |
Summary Improvements |
|
ck1028 |
12920µs |
8796µs |
1.46 |
8570µs |
3298µs |
2.59 |
545µs |
520µs |
1.05 |
Java |
Combination of zipper algorithm & binary search in remainder of longer list; sentinels. |
|
ck1028 |
1898µs |
1784µs |
1.06 |
1767µs |
260µs |
6.79 |
116µs |
65µs |
1.78 |
C++ |
Combination of zipper algorithm & galloping search; sentinels. |
|
he41 |
8184µs |
1465µs |
5.59 |
8957µs |
1446µs |
6.19 |
2631µs |
1575µs |
1.67 |
Java |
Combination of zipper algorithm & galloping search; sentinels; Bitwise Operations. |
|
ma269 |
1901µs |
1538µs |
1.24 |
1332µs |
566µs |
2.35 |
122µs |
52µs |
2.32 |
C++ |
Log(n)-step baseline or galloping search with sentinels. |
|
cb382 + mz111 |
4842µs |
2992µs |
1.62 |
5428µs |
1487µs |
3.65 |
1687µs |
803µs |
2.10 |
Java |
Combination of zipper with sentinels & galloping search |
|
yl100 |
2061µs |
1943µs |
1.06 |
1381µs |
483µs |
2.86 |
141µs |
66µs |
2.14 |
C++ |
Combination of zipper ,sentinels, and galloping search |
|
fk234 |
2127µs |
1670µs |
1.27 |
1896 |
466 |
4.07 |
146µs |
91µs |
1.60 |
C++ |
Zipper algorithm with sentinels and galloping search |
|
pk104 |
1514µs |
1318µs |
1.14 |
1293 |
355 |
3.65 |
95µs |
50µs |
1.87 |
C++ |
galloping search |
|
pg152 |
17024µs |
11518µs |
1.47 |
12301µs |
3078µs |
3.99 |
4777µs |
1334µs |
3.58 |
Java |
Binsearch at beginning, Galloping at end |
|
dd74 |
1785µs |
1951µs |
0.91 |
1631µs |
575µs |
2,84 |
144µs |
143µs |
1.01 |
C++ |
Zipper algorithm with sentinels, binary search |
|
je113 |
2049µs |
1872µs |
1.09 |
1124µs |
497µs |
2,26 |
90µs |
89µs |
1.01 |
Java |
Skip pointers with sentinels |
|
ck407 |
30959µs |
28967µs |
1.07 |
2102µs |
1168µs |
1.80 |
1447µs |
1098µs |
1.32 |
Java |
Combination of zipper with sentinels and galloping search. |