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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
Example: 25 transmissions to be carried out T1 T2 T3 T4 T5 T2 - - PowerPoint PPT Presentation
Example: 25 transmissions to be carried out T1 T2 T3 T4 T5 T2 - - PowerPoint PPT Presentation
ICON 2004 - IEEE International Conference On Networks November 16-19, 2004, Singapore, Hilton E FFICIENT L IQUID S CHEDULE S EARCH S TRATEGIES FOR C OLLECTIVE C OMMUNICATIONS Emin Gabrielyan, Roger D. Hersch Swiss Federal Institute of Technology
- - ICON 2004, IEEE International Conference On Networks, November 16-19, 2004, Singapore, Hilton --
- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
l11 l12 l1 l10 l2 l3 l4 l5 l6 l7 l8 l9
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5 R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
Example: 25 transmissions to be carried out
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
Round-robin schedule
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5 R1 R3 R2 R4 R5 T1 T2 T3 T4 T5 R1 R3 R2 R4 R5 T1 T2 T3 T4 T5 R1 R3 R2 R4 R5 T1 T2 T3 T4 T5 R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
phase 1 phase 2 phase 3.1 phase 3.2 phase 4.1 phase 4.2
Round-robin Throughput
phase 5
Troundrobin 25 7 ⁄ 1Gbps ⋅ 3.57Gbps = =
c
- n
g e s t i
- n
c
- n
g e s t i
- n
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
time frame 1 time frame 2 time frame 3 time frame 4 time frame 5 time frame 6
Liquid schedule
Tliquid 25 6 ⁄ 1Gbps ⋅ 4.16Gbps = =
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
The 25 transfer traffic
X =
λ l1 X , ( ) 5 = …λ l12 X , ( ) 6 = , l1 l6 , { } … l1 l12 l9 , , { } … , ,
Transfers:
5
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
5 5 5 5 5 5 5 5 5 6 6
b
- t
t l e n e c k s
Transfers and Load of Links
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
l11 l12 l1 l10 l2 l3 l4 l5 l6 l7 l8 l9
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
λ l1 X , ( ) 5 = …λ l10 X , ( ) 5 = , λ l11 X , ( ) 5 = …λ l12 X , ( ) 6 = ,
{l1, l6}, {l1, l7}, {l1, l8}, {l1, l12, l9}, {l1, l12, l10}, {l2, l6}, {l2, l7}, {l2, l8}, {l2, l12, l9}, {l2, l12, l10}, {l3, l6}, {l3, l7}, {l3, l8}, {l3, l12, l9}, {l3, l12, l10}, {l4, l11, l6}, {l4, l11, l7}, {l4, l11, l8}, {l4, l9}, {l4, l10}, {l5, l11, l6}, {l5, l11, l7}, {l5, l11, l8}, {l5, l9}, {l5, l10}
X=
Λ X ( ) 6 =
Duration of Traffic
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
{l1, l6}, {l1, l7}, {l1, l8}, {l1, l12, l9}, {l1, l12, l10}, {l2, l6}, {l2, l7}, {l2, l8}, {l2, l12, l9}, {l2, l12, l10}, {l3, l6}, {l3, l7}, {l3, l8}, {l3, l12, l9}, {l3, l12, l10}, {l4, l11, l6}, {l4, l11, l7}, {l4, l11, l8}, {l4, l9}, {l4, l10}, {l5, l11, l6}, {l5, l11, l7}, {l5, l11, l8}, {l5, l9}, {l5, l10}
X=
traffic’s duration (the load of its bottlenecks) total number of transfers the throughput of a single link
Tliquid # X ( ) Λ X ( )
- Tlink
⋅ 25 6
- 1Gbps
⋅ 4.17Gbps = = =
Liquid Throughput
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
Schedules yielding the liquid throughput
{l1, l6}, {l1, l7}, {l1, l8}, {l1, l12, l9}, {l1, l12, l10}, {l2, l6}, {l2, l7}, {l2, l8}, {l2, l12, l9}, {l2, l12, l10}, {l3, l6}, {l3, l7}, {l3, l8}, {l3, l12, l9}, {l3, l12, l10}, {l4, l11, l6}, {l4, l11, l7}, {l4, l11, l8}, {l4, l9}, {l4, l10}, {l5, l11, l6}, {l5, l11, l7}, {l5, l11, l8}, {l5, l9}, {l5, l10}
X=
- Without a right schedule we may have intervals when
the access to the bottleneck links is blocked by other transmissions.
- Our goal is to schedule the transfers such that all bot-
tlenecks are always kept occupied ensuring that the liquid throughput is obtained.
- A schedule yielding the liquid throughput we call as a
liquid schedule and our objective is to find a liquid schedule whenever it exists.
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
2 4 5 6 3 7 1 PR63 PR00 PR02 PR04 PR06 PR08 PR10 PR12 P R 1 4 PR16 PR18 PR20 PR22 PR24 PR26 PR28 P R 3 PR32 PR34 PR36 PR38 PR40 PR42 PR44 P R 4 6 PR48 PR50 PR52 PR54 PR56 PR58 PR60 P R 6 2 PR61 PR59 PR57 PR55 PR53 PR51 P R 4 9 PR47 PR45 PR43 PR41 PR39 PR37 PR35 P R 3 3 PR31 PR29 PR27 PR25 PR23 PR21 PR19 P R 1 7 PR15 PR13 PR11 PR09 PR07 PR05 PR03 P R 1 N00 N01 N02 N03 N04 N 5 N 6 N07 N08 N 9 N10 N11 N12 N 1 3 N 1 4 N15 N16 N 1 7 N18 N19 N20 N 2 1 N 2 2 N23 N24 N 2 5 N26 N27 N28 N29 N30 N 3 1
Swiss-T1 Cluster
Node Switch Rx Proc Tx Proc Routing Link
N00 PR01 PR00
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
200 400 600 800 1000 1200 1400 1600 1800 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 Number of contributing nodes Liquid throughput (MB/s)
363 Communication Patterns
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
400 800 1200 1600 2000 2400 2800
( ) 2 ( 8 ) 4 ( 1 ) 6 ( 1 1 ) 8 ( 1 2 ) 1 ( 1 3 ) 1 2 ( 1 4 ) 1 4 ( 1 5 ) 1 6 ( 1 5 ) 1 8 ( 1 6 ) 2 ( 1 7 ) 2 2 ( 1 8 ) 2 4 ( 1 9 ) 2 6 ( 2 ) 2 8 ( 2 1 ) 3 ( 2 2 ) 3 2 ( 2 4 ) 3 4 ( 2 5 ) 3 6 ( 3 )
Topology (contributing nodes) Aggregate throughput (MB/s)
363 Topology Test-bed
Crossbar throughput Liquid throughput
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
200 400 600 800 1000 1200 1400 1600 1800
6 4 8 8 1 9 1 2 1 1 1 1 4 4 1 2 1 4 4 1 2 1 6 9 1 3 1 9 6 1 4 2 2 5 1 5 2 2 5 1 5 2 5 6 1 6 2 8 9 1 7 3 2 4 1 8 3 6 1 1 9 3 6 1 1 9 4 2 4 4 1 2 1 4 8 4 2 2 5 7 6 2 4 6 7 6 2 6 9 3
Transfers / Contributing nodes Throughput (MB/s) theoretical liquid measured round-robin
Round-robin throughput
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
{l1, l6}, {l1, l7}, {l1, l8}, {l1, l12, l9}, {l1, l12, l10}, {l2, l6}, {l2, l7}, {l2, l8}, {l2, l12, l9}, {l2, l12, l10}, {l3, l6}, {l3, l7}, {l3, l8}, {l3, l12, l9}, {l3, l12, l10}, {l4, l11, l6}, {l4, l11, l7}, {l4, l11, l8}, {l4, l9}, {l4, l10}, {l5, l11, l6}, {l5, l11, l7}, {l5, l11, l8}, {l5, l9}, {l5, l10}
X =
{l1, l7}, {l2, l8}, {l3, l12, l9}, {l5, l11, l6} {l1, l6}, {l2, l12, l10}, {l3, l7}, {l4, l11, l8} {l3, l12, l10}, {l4, l9}, {l5, l11, l8}
} }
}
{ {
{
, ,
{l1, l12, l9}, {l2, l7}, {l3, l8}, {l4, l11, l6}, {l5, l10} {l1, l12, l10}, {l2, l6}, {l4, l11, l7}, {l5, l9} {l1, l8}, {l2, l12, l9}, {l3, l6}, {l4, l10}, {l5, l11, l7}
}
}{
} {
{
, , ,
α =
number of timeframes load of the bottlenecks
A α ∈ ( ) ∀ ⇔ # α ( ) Λ X ( ) = ⇔ ⇔ schedule α is liquid ⇔ A is a team of X
Team: a set of mutually non-congesting transfers using all bottlenecks
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
R= R x= R x=
- transfer x
- transfers congesting with x
- transfers non-congesting with x
{ }
excluder includer depot
{ }
excluder includer depot
{ }
excluder includer depot
ℑ X ( ) all teams of the traffic X ,
- To cover the full solution space when
constructing a liquid schedule an effi- cient technique obtaining the whole set
- f possible teams of a traffic is required.
- We designed an efficient algorithm enu-
merating all teams of a traffic traversing each team once and only once.
- This algorithm obtains each team by
subsequent partitioning of the set of all teams.
- We introduced tri-
plets consisting of subsets of the traf- fic, representing one- by-one partitions of the set of all teams.
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
...
X ℘ X ( ) A1 A2 A3…An , , { } = → X1 X A1 – = ℘ X1 ( ) A1 1
,
A1 2
, …
, { } = → X1 1
,
X1 A1 1
,
– = X1 2
,
X1 A1 2
,
– = X2 X A2 – = ℘ X2 ( ) A2 1
,
A2 2
, …
, { } = → X2 1
,
X2 A2 1
,
– = X2 2
,
X2 A2 2
,
– = ℘ Y ( ) A ℑ X ( ) ∈ A Y ⊂ { } =
all teams of X possible steps to the next layer
Liquid schedule search tree
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
A1,1 A1,1,1 X (25 transfers) X1 = X - A1 (20 transfers) X1,1 = X1 - A1,1 (16 transfers) A1 A(X)=6 (X1)=5 A
2 bottlenecks 2 bottlenecks 4 bottlenecks 4 bottlenecks 6 bottlenecks 8 bottlenecks
(X1,...)=3 A (X1,...)=2 A (X1,...)=1 A (X1,1)=4 A A1,... A1,... A1,...
Additional bottlenecks
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
Prediction of dead-ends and search optimization
- When a team of transfers is carried out - for the remaining traffic we
have the same bottleneck links as before - with possibly new addition- ally emerged bottleneck links.
- Considering new bottleneck links (at every step of construction) in the
choice of the further teams substantially reduces the search space.
- Team is a collection of simultaneous transmissions using all bottle-
necks of the network. Teams are full if they congest with all other transmissions of the traffic.
- Limiting our choice with only full teams additionally reduces the
search space without affecting the solution space.
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
For more than 90% of the test-bed topologies construction of a global liquid schedule is completed in a fraction of a second (less than 0.1s).
additionally decreas- ing the search space without affecting the solution space
Choice ℘ Y ( ) ℑfull Y ( ) = = ℑfull Y ( ) ℑ Y ( ) ⊂
full teams of the reduced traffic
{
Liquid schedules construction
Choice ℘ Y ( ) ℑ Y ( ) = = Choice ℘ Y ( ) A ℑ X ( ) ∈ A Y ⊂ { } = ℘ Y ( ) ℑ Y ( ) = → = ℑ Y ( ) A ℑ X ( ) ∈ A Y ⊂ { } ⊂
- riginal traffic’s teams formed
from the reduced traffic teams of the reduced traffic
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
200 400 600 800 1000 1200 1400 1600 1800 2000 8 10 12 13 14 15 16 17 18 19 21 22 24 27 Number of contributing nodes for the 363 sub-topologies All-to-all throughput (MB/s) liquid throughput carried out according to the liquid schedules
Results
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
x
1 , 1
x
2 , 1
x
3 , 1
x
4 , 1
x
5 , 1
x
1 , 2
x
2 , 2
x
3 , 2
x
4 , 2
x
1 , 3
x
2 , 3
x
3 , 3
x
4 , 3
x
1 , 4
x
2 , 4
x
3 , 4
x
4 , 4
x
5 , 4
x
1 , 5
x
4 , 5
x
5 , 5
The 25 vertices of the graph represent the 25 transfers
- transfers. The edges repre-
sent congestion relations be- tween transfers, i.e. each edge represents one or more communication links shared by two transfers.
Bold edges represent all conges- tions due to bottleneck links
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
5
R1 R3 R2 R4 R5 T1 T2 T3 T4 T5
5 5 5 5 5 5 5 5 5 6 6
bottlenecks
Congestion Graph
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- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
5 10 15 20 1 49 64 81 100 100 121 144 144 144 169 169 196 196 225 225 225 256 256 289 289 324 324 324 361 361 400 400 441 484 484 529 576 576 676 729 961 number of transfers for each of 363 topologies loss in performance (%)
Loss of performance induced by schedules com- puted with a graph colouring heuristic algorithm
- For 74% of the topologies Dsatur algorithm does not induce a loss of performance.
- For 18% of topologies, the performance loss is bellow 10%.
- For 8% of topologies, the loss of performance is between 10% and 20%.
- - ICON 2004, IEEE International Conference On Networks, November 16-19, 2004, Singapore, Hilton --
- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --
Conclusion and Future work
- Data exchanges relying on the liquid schedules may be carried out several times
faster compared with topology-unaware schedules.
- Thanks to introduced theoretical model we considerably reduce the liquid sched-
ule search space without affecting the solution space.
- Our method may be applied when high QoS and efficient bandwidth usage of a
media is required for continuous streaming applications such as video and voice.
- Liquid scheduling is applicable for TDM wireless networks, optical networks or
low latency wormhole/cut-through networks, such as Myrinet. Streams can be transmitted from edge to edge in large chunks, but global synchronization in the network is required.
- Future work: fault-tolerance of transmission by spacial diversification of routing
- paths. Example of an underlying network: a wireless ad-hoc mobile network
seeking to provide end-to-node streaming services, such as packetized voice.
a network of 100 nodes and 668 links
a network of 100 nodes and 682 links
a network of 100 nodes and 682 links
a network of 100 nodes and 694 links
a network of 100 nodes and 688 links
a network of 100 nodes and 702 links
a network of 100 nodes and 708 links
a network of 100 nodes and 702 links
a network of 100 nodes and 708 links
a network of 100 nodes and 708 links
a network of 100 nodes and 714 links
a network of 100 nodes and 718 links
a network of 100 nodes and 718 links
a network of 100 nodes and 712 links
a network of 100 nodes and 704 links
a network of 100 nodes and 692 links
a network of 100 nodes and 678 links
a network of 100 nodes and 680 links
a network of 100 nodes and 694 links
a network of 100 nodes and 682 links
a network of 100 nodes and 672 links
a network of 100 nodes and 682 links
a network of 100 nodes and 680 links
a network of 100 nodes and 680 links
a network of 100 nodes and 694 links
a network of 100 nodes and 696 links
a network of 100 nodes and 688 links
a network of 100 nodes and 692 links
a network of 100 nodes and 706 links
a network of 100 nodes and 684 links
a network of 100 nodes and 698 links
a network of 100 nodes and 686 links
a network of 100 nodes and 684 links
a network of 100 nodes and 680 links
a network of 100 nodes and 668 links
a network of 100 nodes and 684 links
a network of 100 nodes and 678 links
a network of 100 nodes and 680 links
a network of 100 nodes and 678 links
a network of 100 nodes and 672 links
a network of 100 nodes and 680 links
a network of 100 nodes and 674 links
a network of 100 nodes and 662 links
a network of 100 nodes and 662 links
a network of 100 nodes and 666 links
a network of 100 nodes and 670 links
a network of 100 nodes and 684 links
a network of 100 nodes and 702 links
a network of 100 nodes and 698 links
a network of 100 nodes and 692 links
a network of 100 nodes and 678 links
a network of 100 nodes and 690 links
a network of 100 nodes and 698 links
a network of 100 nodes and 700 links
a network of 100 nodes and 680 links
a network of 100 nodes and 672 links
a network of 100 nodes and 678 links
a network of 100 nodes and 670 links
a network of 100 nodes and 666 links
a network of 100 nodes and 676 links
a network of 100 nodes and 694 links
a network of 100 nodes and 710 links
a network of 100 nodes and 710 links
a network of 100 nodes and 698 links
a network of 100 nodes and 704 links
a network of 100 nodes and 702 links
a network of 100 nodes and 702 links
a network of 100 nodes and 708 links
a network of 100 nodes and 708 links
a network of 100 nodes and 710 links
a network of 100 nodes and 702 links
a network of 100 nodes and 706 links
a network of 100 nodes and 718 links
a network of 100 nodes and 728 links
a network of 100 nodes and 736 links
180 nodes, clock 1, layer 12, 17 bottlenecks at load 0.0666666667 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 2, layer 12, 8 bottlenecks at load 0.09375 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 3, layer 12, 12 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 4, layer 12, 7 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 5, layer 12, 10 bottlenecks at load 0.08 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 6, layer 12, 5 bottlenecks at load 0.1086419753 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 7, layer 0, 0 bottlenecks at load N/A 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 8, layer 12, 24 bottlenecks at load 0.0555555556 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 9, layer 12, 5 bottlenecks at load 0.0653333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 10, layer 12, 4 bottlenecks at load 0.059375 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 11, layer 12, 2 bottlenecks at load 0.0487179487 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 12, layer 12, 2 bottlenecks at load 0.08 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 13, layer 12, 7 bottlenecks at load 0.03125 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 14, layer 12, 2 bottlenecks at load 0.0555555556 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 15, layer 12, 3 bottlenecks at load 0.049382716 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 16, layer 12, 12 bottlenecks at load 0.1 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 17, layer 12, 2 bottlenecks at load 0.0729166667 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 18, layer 12, 4 bottlenecks at load 0.075 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 19, layer 12, 8 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 20, layer 12, 5 bottlenecks at load 0.0916666667 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 21, layer 12, 17 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 22, layer 12, 7 bottlenecks at load 0.09375 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 23, layer 12, 3 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 24, layer 12, 5 bottlenecks at load 0.1 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 25, layer 12, 8 bottlenecks at load 0.0526406036 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 26, layer 12, 3 bottlenecks at load 0.1166666667 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 27, layer 12, 4 bottlenecks at load 0.0729166667 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 28, layer 12, 2 bottlenecks at load 0.0933333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 29, layer 12, 4 bottlenecks at load 0.09375 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 30, layer 12, 5 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 31, layer 12, 2 bottlenecks at load 0.1 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 32, layer 12, 4 bottlenecks at load 0.0740740741 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 33, layer 12, 4 bottlenecks at load 0.0740740741 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 34, layer 0, 0 bottlenecks at load N/A 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 35, layer 12, 2 bottlenecks at load 0.0722222222 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 36, layer 12, 1 bottlenecks at load 0.0952380952 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 37, layer 12, 4 bottlenecks at load 0.0615079365 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 38, layer 12, 1 bottlenecks at load 0.0902777778 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 39, layer 12, 4 bottlenecks at load 0.1071428571 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 40, layer 12, 2 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 41, layer 0, 0 bottlenecks at load N/A 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 42, layer 0, 0 bottlenecks at load N/A 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 43, layer 12, 3 bottlenecks at load 0.0833333333 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 44, layer 12, 8 bottlenecks at load 0.0653935185 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 45, layer 12, 5 bottlenecks at load 0.086 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 46, layer 12, 2 bottlenecks at load 0.0785714286 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 47, layer 12, 7 bottlenecks at load 0.0892857143 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 48, layer 12, 2 bottlenecks at load 0.0666666667 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 49, layer 12, 3 bottlenecks at load 0.0808080808 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
180 nodes, clock 50, layer 12, 4 bottlenecks at load 0.075 1 0.8 0.6 0.4 0.2 0.1 0.08 0.06 0.04 0.02 0.01 0.008 0.006 0.004 0.002 0.001 0.0008 0.0006 0.0004 0.0002 0.0001 8e-05 6e-05 4e-05 2e-05 1e-05 8e-06 6e-06 4e-06 2e-06 1e-06 unsolved
- - ICON 2004, IEEE International Conference On Networks, November 16-19, 2004, Singapore, Hilton --
- - EFFICIENT LIQUID SCHEDULE SEARCH STRATEGIES FOR COLLECTIVE COMMUNICATIONS --