Download Algorithm Engineering and Experimentation: International by Ruy Luiz Milidiú, Artur Alves Pessoa, Eduardo Sany Laber PDF

By Ruy Luiz Milidiú, Artur Alves Pessoa, Eduardo Sany Laber (auth.), Michael T. Goodrich, Catherine C. McGeoch (eds.)

ISBN-10: 3540662278

ISBN-13: 9783540662273

Symmetric multiprocessors (SMPs) dominate the high-end server industry and are at the moment the first candidate for developing huge scale multiprocessor structures. but, the layout of e cient parallel algorithms for this platform c- rently poses a number of demanding situations. for the reason that the quick development in microprocessor pace has left major reminiscence entry because the fundamental obstacle to SMP functionality. on the grounds that reminiscence is the bottleneck, easily expanding the n- ber of processors won't unavoidably yield larger functionality. certainly, reminiscence bus barriers often restrict the scale of SMPs to sixteen processors. This has a minimum of twoimplicationsfor the algorithmdesigner. First, considering the fact that there are fairly few processors availableon an SMP, any parallel set of rules needs to be aggressive with its sequential counterpart with as low as one processor which will be r- evant. moment, for the parallel set of rules to scale with the variety of processors, it has to be designed with cautious recognition to minimizing the quantity and kind of major reminiscence accesses. during this paper, we current a computational version for designing e cient al- rithms for symmetric multiprocessors. We then use this version to create e cient recommendations to 2 largely di erent kinds of difficulties - associated checklist pre x com- tations and generalized sorting. either difficulties are reminiscence in depth, yet in die lease methods. while generalized sorting algorithms ordinarily require a wide numberofmemoryaccesses, they areusuallytocontiguousmemorylocations. against this, prex computation algorithms mostly require a extra modest qu- tity of reminiscence accesses, yet they're are typically to non-contiguous reminiscence locations.

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Extra resources for Algorithm Engineering and Experimentation: International Workshop ALENEX’99 Baltimore, MD, USA, January 15–16, 1999 Selected Papers

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Helman, J. J´ aJ´ a to suggest what should be possible in order to obtain maximum performance. Certainly, the ability to specify the simultaneous, independent behavior of each bus would maximize computer performance, but as the authors acknowledge this is beyond the capability of current high-level programming languages. Hence, the UMH model seems unnecessarily complicated to describe the behavior of existing symmetric multiprocessors. All the models mentioned so far focus on the relative cost of accessing different levels of memory.

Gerards, Matching, Handbooks in Operations Research and Management Science, vol. 7, North-Holland, 1995, pp. 135–224. GH85. M. Gr¨ otschel and O. Holland, Solving matching problems with linear programming, Math. Prog. 33 (1985), 243–259. Mar79. A. B. D. thesis, The John Hopkins University, Baltimore, 1979. Mil95. D. L. Miller, A matching based exact algorithm for capacitated vehicle routing problems, ORSA J. of Computing (1995), 1–9. MM97. R. H. M¨ ohring and M. M¨ uller-Hannemann, Complexity and modeling aspects of mesh refinement into quadrilaterals, Proceedings of the 8th Annual International Symposium on Algorithms and Computation, ISAAC’97, Singapore, Lecture Notes in Computer Science 1350, Springer-Verlag, 1997, pp.

4 demonstrates that the d-heap implementation is significantly faster within the range of our experiments, but the advantage seems to decrease for larger instances. 970) for (DU2). The exponent of the estimated asymptotic running time for the d-heap variant appears to be slightly larger than for the simple list implementation, only the constant factors are much in favour for the d-heap. Hence, this is a typical example that extrapolation beyond the range M. M¨ uller–Hannemann, A. Schwartz Running time in seconds log scale Exp.

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