Abstract
The Hierarchically Tiled Array (HTA) is a data type that facilitates the definition and manipulation of arrays partitioned into tiles. The data type allows to exploit those tiles to attain both locality and parallelism. Parallel programs written with HTAs are based in data parallelism, and provide the programmer with a single-threaded view of the execution. In our experience, HTAs help to develop parallel codes in a much more productive way than other parallel programming approaches. While we have worked extensively with HTAs in distributed memory environments, only recently have we began to consider their adaption to shared memory environments such as those found in multicore systems. In this paper we review the design issues, opportunities and challenges that this migration raises.
This material is based upon work supported by the National Science Foundation under Awards CCF 0702260 and CNS 0509432. Basilio B. Fraguela was partially supported by the Ministry of Education and Science of Spain, FEDER funds of the European Union (Projects TIN2004-07797-C02-02 and TIN2007-67537-C03-02).
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Brodman, J., Fraguela, B.B., Garzarán, M.J., Padua, D. (2008). Design Issues in Parallel Array Languages for Shared Memory. In: Bereković, M., Dimopoulos, N., Wong, S. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2008. Lecture Notes in Computer Science, vol 5114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70550-5_24
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