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Algorithms 2018,11, 76
Table1.Dataratecoefficientsof theclusterofDSPwith four integratedmodules (IMs).
IM 1 2 3 4
1 ε α α α
2 α ε α α
3 α α ε α
4 α α α ε
Thevaluesof thematrixDdependonthespecificcommunicationtopologyof the IMs.
InFigure2,weconsider threeexamplesof the IMi communicationtopologyforki=4.
(a) (b) (c)
Figure2.ExamplesofcommunicationtopologyofDSP-processors: (a)uni-directional; (b)bi-directional;
(c)all toall.
Figure 2a shows uni-directional DSP communication. Let us assume that the transfer rate
betweenprocessorsconnectedbyan internal linkport is equal toα= 1. Thecorrespondingmatrix
ofdataratecoefficients ispresented inTable2a. Figure2bshowsbi-directionalDSPcommunication.
Thecorrespondingmatrixofdataratecoefficients ispresented inTable2b. Figure2cshowsall-to-all
communicationofDSP.Table2cshowsthecorrespondingdataratecoefficients.
Table2.DataratecoefficientmatrixD for threecommunicationtopologiesbetweenDSP-processors.
(a)Uni-Directional (b)Bi-Directional (c)All toAll
0 1 2 3 0 1 2 1 0 1 1 1
3 0 1 2 1 0 1 2 1 0 1 1
2 3 0 1 2 1 0 1 1 1 0 1
1 2 3 0 1 2 1 0 1 1 1 0
For theexperiments,wetake intoaccount twomodelsof thecluster (Figure3). In theclusterA,
portsconnectonlyneighboringDSPs,asshowninFigure3a. In theclusterB,DSPsareconnectedto
eachother,asshowninFigure3b.
(a) (b)
Figure3.DSPclusterconfiguration. (a)ClusterA; (b)ClusterB.
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Algorithms for Scheduling Problems
- Title
- Algorithms for Scheduling Problems
- Authors
- Frank Werner
- Larysa Burtseva
- Yuri Sotskov
- Editor
- MDPI
- Location
- Basel
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-03897-120-7
- Size
- 17.0 x 24.4 cm
- Pages
- 212
- Keywords
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Categories
- Informatik
- Technik