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Type-based Primitives for Distributed Data Structures: A Functional Approach
Kaohsiung, Taiwan October 06-October 09
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPPW.2003.12403632003 International Conference on Para ...
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Tyng-Ruey Chuang, "Type-based Primitives for Distributed Data Structures: A Functional Approach," Parallel Processing Workshops, International Conference on, pp. 131, 2003 International Conference on Parallel Processing Workshops (ICPPW'03), 2003.
 
 
BibTex
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@article{ 10.1109/ICPPW.2003.1240363,
author = {Tyng-Ruey Chuang},
title = {Type-based Primitives for Distributed Data Structures: A Functional Approach},
journal ={Parallel Processing Workshops, International Conference on},
volume = {0},
year = {2003},
issn = {1530-2016},
pages = {131},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPPW.2003.1240363},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel Processing Workshops, International Conference on
TI - Type-based Primitives for Distributed Data Structures: A Functional Approach
SN - 1530-2016
SP
EP
A1 - Tyng-Ruey Chuang,
PY - 2003
KW - null
VL - 0
JA - Parallel Processing Workshops, International Conference on
ER -
 
Tyng-Ruey Chuang, Academia Sinica
We formulate type-based primitive functions for distributed processing of complex data structures. These primitives are derived directly from the type definitions of the data structures, and they naturally lead to distributed implementations. Our main results are: 1) A distribution model to support efficient aggregate operations over complex data structures. The model is simple yet general, and easy to implement. 2) A parallel functional programming environment assembled from readily available hardware and software systems. Functional programs execute in parallel and exhibit good speedup in this environment if they use the proposed type-based primitives.
Citation:
Tyng-Ruey Chuang, "Type-based Primitives for Distributed Data Structures: A Functional Approach," icppw, pp.131, 2003 International Conference on Parallel Processing Workshops (ICPPW'03), 2003
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