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PVLDB
2008
182views more  PVLDB 2008»
13 years 6 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
2010
143views more  BMCBI 2010»
13 years 7 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
PPOPP
2012
ACM
12 years 3 months ago
PARRAY: a unifying array representation for heterogeneous parallelism
This paper introduces a programming interface called PARRAY (or Parallelizing ARRAYs) that supports system-level succinct programming for heterogeneous parallel systems like GPU c...
Yifeng Chen, Xiang Cui, Hong Mei
SIGARCH
2008
73views more  SIGARCH 2008»
13 years 7 months ago
Servo: a programming model for many-core computing
Conventional programming models were designed to be used by expert programmers for programming for largescale multiprocessors, distributed computational clusters, or specialized p...
Nicolas Zea, John Sartori, Rakesh Kumar
ICDCS
2002
IEEE
14 years 11 days ago
Incremental Replication for Mobility Support in OBIWAN
The need for sharing is well known in a large number of distributed collaborative applications. These applications are difficult to develop for wide area (possibly mobile) networ...
Luís Veiga, Paulo Ferreira