Issue No.03 - March (2010 vol.21)
Xiaolong Wu , California State University Long Beach, Long Beach
Min He , California State University Long Beach, Long Beach
Burkhard Englert , California State University Long Beach, Long Beach
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2009.68
In recent years, many researchers have investigated optical interconnections as parallel computing. Optical interconnections are attractive due to their high bandwidth and concurrent access to the bus in a pipelined fashion. The Linear Array with Reconfigurable Pipelined Bus System (LARPBS) model is a powerful optical bus system that combines both the advantages of optical buses and reconfiguration. To increase the scalability of the LARPBS model, we propose a two-dimensional extension: a simplified two-dimensional Array with Reconfigurable Pipelined Bus System (2D ARPBS). While achieving better scalability, we show the effectiveness of this newly proposed model by designing two novel optimal sorting algorithms on this model. The first sorting algorithm is an extension of Leighton's seven-phase columnsort algorithm that eliminates the restriction of sorting only an r \times s array, where r \ge s^2 , and sorts an n \times n array in O(\log n) time. The second one is an optimal multiway mergesort algorithm that uses a novel processor efficient two-way mergesort algorithm and a novel multiway merge scheme to sort n^2 items in O(\log n) time. Using an optimal sorting algorithm Pipelined Mergesort designed for the LARPBS model as a building block, we extend our research on parallel sorting on the LARPBS to a more scalable 2D ARPBS model and achieve optimality in both sorting algorithms.
Interconnection networks, optical networks, parallel algorithms and architectures, sorting.
Xiaolong Wu, Min He, Burkhard Englert, "Optimal Sorting Algorithms for a Simplified 2D Array with Reconfigurable Pipelined Bus System", IEEE Transactions on Parallel & Distributed Systems, vol.21, no. 3, pp. 303-312, March 2010, doi:10.1109/TPDS.2009.68