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This introduction to networking large scale parallel computer systems acts as a primary resource for a wide readership, including network systems engineers, electronics engineers, systems designers, computer scientists involved in systems design and implementation of parallel algorithms development, graduate students in systems architecture, design, or engineering.
This book constitutes the refereed proceedings of the 4th International Conference on Parallel Computation, ACPC'99, held in Salzburg, Austria in February 1999; the conference included special tracks on parallel numerics and on parallel computing in image processing, video processing, and multimedia. The volume presents 50 revised full papers selected from a total of 75 submissions. Also included are four invited papers and 15 posters. The papers are organized in topical sections on linear algebra, differential equations and interpolation, (Quasi-)Monte Carlo methods, numerical software, numerical applications, image segmentation and image understanding, motion estimation and block matching, video processing, wavelet techniques, satellite image processing, data structures, data partitioning, resource allocation and performance analysis, cluster computing, and simulation and applications.
Abstract: "The difference among different topologies in interconnection networks is a debated issue among highly parallel machine designers, since opposing parameters influence the network performance. This paper presents a new model, k-ary n-cube m-diags, which generalizes existing k-ary n-cube topologies to include hexagonal networks and their n- dimensional extensions. A performance analysis based on this model is conducted, showing that the increase of connectivity in low-dimensional networks by means of diagonal links results in better latency and throughput in the network. An algorithm for routing messages in k-ary n- cube m-diags is proposed, showing the relative ease of performing this task on such topologies."
Aimed at researchers, professors, practitioners, students and other computing professionals, this work looks at: architectures; parallel and distributed computation; networks; mobile computing and communication; parallel language and compiler; and cache/memory.
Perhaps the most critical component in determining the ultimate performance potential of a multicomputer is its interconnection network, the hardware fabric supporting communication among individual processors. The message latency and throughput of such a network are affected by many factors of which topology, switching method, routing algorithm and traffic load are the most significant. In this context, the present study focuses on a performance analysis of k-ary n-cube networks employing wormhole switching, virtual channels and adaptive routing. First, an accurate analytical model for wormhole-routed k-ary n-cubes with adaptive routing and uniform traffic is developed. New models are constructed for wormhole k-ary n-cubes under adaptive routing and non-uniform communication workloads, such as hotspot traffic, matrix-transpose and digit-reversal permutation patterns. Finally, k-ary n-cubes of different dimensionality are compared using the new models. The comparison takes account of various traffic patterns and implementation costs, using both pin-out and bisection bandwidth as metrics.