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» Distributed Data Structure Design for Scientific Computation
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ECOOPW
1998
Springer
15 years 4 months ago
Development and Utilization of Parallel Generic Algorithms for Scientific Computations
We develop generic parallel algorithms as extensible modules that encapsulate related classes and parallel methods. Extensible modules define common parallel structures, such as m...
Atanas Radenski, A. Vann, Boyana Norris
111
Voted
BMCBI
2007
119views more  BMCBI 2007»
15 years 17 days ago
Conceptual-level workflow modeling of scientific experiments using NMR as a case study
Background: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans...
Kacy K. Verdi, Heidi J. C. Ellis, Michael R. Gryk
130
Voted
CCGRID
2009
IEEE
15 years 4 months ago
Hierarchical Caches for Grid Workflows
From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and clu...
David Chiu, Gagan Agrawal
IPPS
2006
IEEE
15 years 6 months ago
Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques ...
Antonio J. Plaza
86
Voted
SIGMOD
2003
ACM
160views Database» more  SIGMOD 2003»
16 years 18 days ago
Scientific Data Repositories: Designing for a Moving Target
Managing scientific data warehouses requires constant adaptations to cope with changes in processing algorithms, computing environments, database schemas, and usage patterns. We h...
Etzard Stolte, Christoph von Praun, Gustavo Alonso...