TACO -- Dynamic Distributed Collections with Templates and Topologies

Authors:
Jörg Nolte;Mitsuhisa Sato;Yutaka Ishikawa
Affiliations:
-;-;-
Venue:
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Year:
2000

Citing 7
Cited 0

MULTILISP: a language for concurrent symbolic computation

ACM Transactions on Programming Languages and Systems (TOPLAS)
Performance considerations in software multicasts

ICS '97 Proceedings of the 11th international conference on Supercomputing
ARTS of PEACE—a high-performance middleware layer for parallel distributed computing

Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
Implementation and Evaluation of MPI on an SMP Cluster

Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
ICC++-AC++ Dialect for High Performance Parallel Computing

ISOTAS '96 Proceedings of the Second JSSST International Symposium on Object Technologies for Advanced Software
High-Level Data Parallel Programming in PROMOTER

HIPS '97 Proceedings of the 1997 Workshop on High-Level Programming Models and Supportive Environments (HIPS '97)
Distributed pC++ Basic Ideas for an Object Parallel Language

Scientific Programming

Quantified Score

Hi-index	0.00

Visualization

Abstract

High-level data-parallel programming with distributed object sets eases many aspects of parallel programming. In this paper we describe the design and implementation of Taco, a template library that provides higher-order operations on polymorphic regular and irregular distributed object sets by means of reusable topology classes and C++ function templates.