Call Number | SEM-212 |
Collection Type | Indeks Artikel prosiding/Sem |
Title | Efficient Compilation of High-Level Data Parallel Algorithms |
Author | Dan Suciu, Val Tannen; |
Publisher | 6th Annual ACM Symposium on Parallel Algorithms and Architecture |
Subject | |
Location |
Nomor Panggil | ID Koleksi | Status |
---|---|---|
SEM-212 | TERSEDIA |
We present a high-level parallel calculus for nested sequences, NSC, offered as a possible theoretical "core" of an entire class of collection-oriented parallel languages. NSC is based on while-loops as opposed to general recursion. A formal, machine independent definition of the parallel time complex- ity and the work complexity of programs in NSC is given. Our main results are: (1) We give a translation method for a particular form of recursion, called map-recursion, into NSC, that preserves the time complexity and adds an arbi- trarily small overhead to the work complexity, and (2) We give a compilation method for NSC into a very simple vec- tor parallel machine, which preserves the time complexity and again adds an arbitrarily small overhead to the work complexity.