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Topology hypercube

Hyper compressors Hypercube topology Hyperfiltration Hyperglycemia... [Pg.503]

Topology Usually, the underlying communication interconnect structure. For example, MPPs can have ring, hypercube, mesh, and torodial topologies. [Pg.288]

Virtual Topologies The practice of using an application topology on a machine with a different true topology (e.g., mapping a ring to a hypercube or mesh). [Pg.288]

Figure 21. Mutant space high-value contour near local optimum. Diagram is multiply branched tree with different macromolecular sequences at vertices. Each line joins neighboring sequences whose values are within 0.5 of locally optimum sequence at lower center for linearized fitness function of type 2 [Eqn. (IV.7)] and reference fold that is cruciform, like tRNA, for sequence of length 72. Over 1300 branches shown extending up to 10 mutant shells away from central optimum. Better sequence (labeled optimum) was found in tenth mutant shell. Non-random sampling of mutant sequences demonstrated typical of population sampling in quasispecies model. Note small number of ridges that penetrate deeply into surrounding mutant space. (Additional connected paths due to hypercube topology of mutant space not shown.)... Figure 21. Mutant space high-value contour near local optimum. Diagram is multiply branched tree with different macromolecular sequences at vertices. Each line joins neighboring sequences whose values are within 0.5 of locally optimum sequence at lower center for linearized fitness function of type 2 [Eqn. (IV.7)] and reference fold that is cruciform, like tRNA, for sequence of length 72. Over 1300 branches shown extending up to 10 mutant shells away from central optimum. Better sequence (labeled optimum) was found in tenth mutant shell. Non-random sampling of mutant sequences demonstrated typical of population sampling in quasispecies model. Note small number of ridges that penetrate deeply into surrounding mutant space. (Additional connected paths due to hypercube topology of mutant space not shown.)...
Since MIMD transputers execute different instructions and work on different data, the interconnection between them must be carefully planned. It is unthinkable to connect each transputer to all other transputers. The number of connections rises as the square of the number of units. From a number of possibilities, most customarily used topologies are binary trees, two-dimensional grids and hypercubes (Figure 7.15). Sophisticated MIMD implementations allow for user-configuration of topologies to suit particular needs. [Pg.176]

Figure 1 Common network topologies for distributed memory computers (a) bus (b) ring (c) two-dimensional mesh (d) torus (e) hypercube (f) full interconnection. Squares represent processors, and lines represent communication paths... Figure 1 Common network topologies for distributed memory computers (a) bus (b) ring (c) two-dimensional mesh (d) torus (e) hypercube (f) full interconnection. Squares represent processors, and lines represent communication paths...

See other pages where Topology hypercube is mentioned: [Pg.96]    [Pg.96]    [Pg.503]    [Pg.280]    [Pg.28]    [Pg.53]    [Pg.275]    [Pg.275]    [Pg.88]    [Pg.487]    [Pg.1991]   
See also in sourсe #XX -- [ Pg.28 ]




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