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CCGRID
2001
IEEE
15 years 10 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
EUROPAR
2004
Springer
15 years 11 months ago
From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Frédéric Suter, Frederic Desprez, He...
GI
2004
Springer
15 years 11 months ago
Crash Management for Distributed Parallel Systems
: With the growing complexity of parallel architectures, the probability of system failures grows, too. One approach to cope with this problem is the self-healing, one of the organ...
Jan Haase, Frank Eschmann
IGARSS
2009
15 years 3 months ago
Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
Fermin Ayuso, Javier Setoain, Manuel Prieto, Chris...
DICS
2006
15 years 10 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules: A Programmer's Perspective
Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch