NDLI: RETRAN: a recurrent paradigm for massively parallel array computing

Content Provider	IEEE Xplore Digital Library
Author	Shafarenko, A.V.
Copyright Year	1994
Description	Author affiliation: Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK (Shafarenko, A.V.)
Abstract	An applicative paradigm of parallel array processing based on recurrence relations and a data-parallel overloading of constants is presented. It is shown that the suggested principle of anti-currying together with introduction of function-based, eager arrays result in a denotational system superior to array extensions of pragmatic languages in that it can exploit spatial symmetries of arrays to unify the notation. The main novelty here is completely asynchronous treatment of arrays of arrow types (arrays of possibly array-valued functions) which lends itself nicely to a massively parallel data-flow implementation with yet static scheduling due to the imposed strictness of the array constructor. The evolution of data is defined in the tradition form of stream transformation.<>
Starting Page	478
Ending Page	487
File Size	752748
Page Count	10
File Format	PDF
ISBN	0818663227
DOI	10.1109/MPCS.1994.367042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-05-02
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Concurrent computing Algebra Processor scheduling Parallel programming Genetic programming Parallel processing Skeleton Hardware Functional programming Programming profession
Content Type	Text
Resource Type	Article

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