Algebraic methods in the congested clique
In this work, we use algebraic methods for studying distance computation and subgraph detection tasks in the congested clique model. Specifically, we adapt parallel matrix multiplication implementations to the congested clique, obtaining an O ( n 1 - 2 / ω ) round matrix multiplication algorithm, wh...
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| Published in | Distributed computing Vol. 32; no. 6; pp. 461 - 478 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2019
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0178-2770 1432-0452 |
| DOI | 10.1007/s00446-016-0270-2 |
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| Summary: | In this work, we use algebraic methods for studying distance computation and subgraph detection tasks in the
congested clique
model. Specifically, we adapt parallel matrix multiplication implementations to the congested clique, obtaining an
O
(
n
1
-
2
/
ω
)
round matrix multiplication algorithm, where
ω
<
2.3728639
is the exponent of matrix multiplication. In conjunction with known techniques from centralised algorithmics, this gives significant improvements over previous best upper bounds in the congested clique model. The highlight results include:
triangle and 4-cycle counting in
O
(
n
0.158
)
rounds, improving upon the
O
(
n
1
/
3
)
algorithm of Dolev et al. [DISC 2012],
a
(
1
+
o
(
1
)
)
-approximation of all-pairs shortest paths in
O
(
n
0.158
)
rounds, improving upon the
O
~
(
n
1
/
2
)
-round
(
2
+
o
(
1
)
)
-approximation algorithm given by Nanongkai [STOC 2014], and
computing the girth in
O
(
n
0.158
)
rounds, which is the first non-trivial solution in this model.
In addition, we present a novel constant-round combinatorial algorithm for detecting 4-cycles. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 0178-2770 1432-0452 |
| DOI: | 10.1007/s00446-016-0270-2 |