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IEEEPACT
1998
IEEE
13 years 12 months ago
Adaptive Scheduling of Computations and Communications on Distributed Memory Systems
Compile-time scheduling is one approach to extract parallelism which has proved effective when the execution behavior is predictable. Unfortunately, the performance of most priori...
Mayez A. Al-Mouhamed, Homam Najjari
CLUSTER
2011
IEEE
12 years 7 months ago
Achieving Scalable Parallelization for the Hessenberg Factorization
—Much of dense linear algebra has been successfully blocked to concentrate the majority of its time in the Level 3 BLAS, which are not only efficient for serial computation, but...
Anthony M. Castaldo, R. Clint Whaley
CIKM
2009
Springer
14 years 2 months ago
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...
Hyunsik Choi, Jihoon Son, YongHyun Cho, Min Kyoung...
ICPP
1999
IEEE
13 years 12 months ago
FLB: Fast Load Balancing for Distributed-Memory Machines
This paper describes a novel compile-time list-based task scheduling algorithm for distributed-memory systems, called Fast Load Balancing (FLB). Compared to other typical list sch...
Andrei Radulescu, Arjan J. C. van Gemund
HIPC
2009
Springer
13 years 5 months ago
Highly scalable algorithm for distributed real-time text indexing
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...