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» A Case-Based Parallel Programming System
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PVLDB
2008
182views more  PVLDB 2008»
15 years 2 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
BMCBI
2011
14 years 9 months ago
A lightweight, flow-based toolkit for parallel and distributed bioinformatics pipelines
Background: Bioinformatic analyses typically proceed as chains of data-processing tasks. A pipeline, or ‘workflow’, is a well-defined protocol, with a specific structure defin...
Marcin Cieslik, Cameron Mura
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 3 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
IISWC
2009
IEEE
15 years 9 months ago
Phoenix rebirth: Scalable MapReduce on a large-scale shared-memory system
Abstract—Dynamic runtimes can simplify parallel programming by automatically managing concurrency and locality without further burdening the programmer. Nevertheless, implementin...
Richard M. Yoo, Anthony Romano, Christos Kozyrakis
CLUSTER
2004
IEEE
15 years 6 months ago
Component-based cluster systems software architecture a case study
We describe the use of component architecture in an area to which this approach has not been classically applied, the area of cluster system software. By "cluster system soft...
Narayan Desai, Rick Bradshaw, Ewing L. Lusk, Ralf ...