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IPPS
2005
IEEE
14 years 1 months ago
Automatic Support for Irregular Computations in a High-Level Language
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Jimmy Su, Katherine A. Yelick
CLEIEJ
2006
147views more  CLEIEJ 2006»
13 years 8 months ago
JADIMA: Virtual Machine Architecture for building JAVA Applications on Grid Platforms
This paper describes JADIMA (Java Distributed Machine), a collaborative platform to construct high performance distributed JAVA applications. JADIMA is a system that automatically...
Yudith Cardinale, Eduardo Blanco, Jesús De ...
BMCBI
2006
114views more  BMCBI 2006»
13 years 8 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...
CCGRID
2001
IEEE
13 years 11 months ago
TACO-Exploiting Cluster Networks for High-Level Collective Operations
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel processing by means of reusable topology classes and C++ s. This p...
Jörg Nolte, Mitsuhisa Sato, Yutaka Ishikawa
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...