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This paper proposes a novel high throughput internet protocol (IP) lookup engine, which is built upon a recently proposed multiple pipeline array architecture that has parallel two-dimensional circular search capabilities on intersecting and variable length pipelines. Our new engine is composed of specially designed processing elements (PEs) including dual input/output static random access memory units and bidirectional links, hence allowing search to proceed in all directions and admitting search requests from all PEs at the boundary of the array. We propose a novel data structure called compact clustered trie (CCT), which is better than traditional binary trie in terms of memory requirement and number of memory accesses. We develop novel approaches including a CCT forwarding table construction method, a mapping strategy and a suitable IP lookup algorithm. Our new lookup engine achieves a much higher average case throughput and a much lower average delay compared with existing IP lookup solutions making, for example, an 8 Tbps high-speed router front end possible. The engine is also well suited for the IPv6 addressing scheme. [ABSTRACT FROM PUBLISHER]

Rectilinear Steiner minimal tree (RSMT) problem finds a minimum length tree that interconnects a given set of points by only horizontal and vertical line segments and by using extra points if necessary. In this paper, to speedup the RSMT construction, two recently developed successful heuristic algorithms, namely rectilinear steiner tree (RST) by Zhou and batched greedy algorithm (BGA) by Kahng et al., have been used as the basis. Following a slight modification on RST, which led to a nonrecursive and a considerably faster version, a partially parallelized and distributed form of this modified algorithm is proposed. Computational tests using large random data sets have shown the advantage of the modification on RST, and tests conducted on a cluster of workstations have proven the proposed distributed approach to be very promising particularly for large problem instances. [ABSTRACT FROM AUTHOR]