... class applied_topology(ost.Topology.Abstract): #, # p1 self.edges[p1] # p2 p1 7 self.edges = { p1: [p1_1,...,p1_k1] p2: [p2_1,...,p2_k2] ... pM: [pM_1,...,p1_kM] } # p2 # , p1 def proximity(self, p1, p2): # in bool # self.edges[p1] p2 return p2 in self.edges[p1] 3.1.1.2. . class applied_topology(ost.Topology.Abstract): #, # p1 self.edges[p1] # p2 p1 self.edges = { p1: [p1_1,...,p1_k1] p2: [p2_1,...,p2_k2] ... pM: [pM_1,...,p1_kM] } # p # , p def neighborhood(self, p): return self.edges[p] . ...

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• http://compmech.math.msu.su/publ/publ_mensh.pdf

Application of the V--Ray Technology for Optimization of the TRFD and FLO52 Perfect Club Benchmarks to CRAY Y--MP and CRAY T3D Supercomputers Alexander S. Antonov, Vladimir V. Voevodin Moscow State University, Russia e­mail: voevodin@vvv.srcc.msu.su Abstract The paper shows an application of the so­called V­ Ray Technology for optimizing the TRFD and FLO52 Perfect Club Benchmarks to CRAY Y--MP and CRAY T3D supercomputers. ... Results for CRAY Y­MP supercomputers. al structure of the program. ...