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IFIP
2000
Springer
14 years 9 days ago
A New Approach to Software Integration Frameworks for Multi-physics Simulation Codes
Existing software integration frameworks typically require large manual rewrites of existing codes, or specific tailoring of codes written to be used in the framework. The result i...
Eric de Sturler, Jay Hoeflinger, Laxmikant V. Kal&...
OSDI
2004
ACM
14 years 9 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
BMCBI
2005
106views more  BMCBI 2005»
13 years 8 months ago
SIMPROT: Using an empirically determined indel distribution in simulations of protein evolution
Background: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis an...
Andy Pang, Andrew D. Smith, Paulo A. S. Nuin, Elis...
ICSE
2009
IEEE-ACM
14 years 3 months ago
Taming Dynamically Adaptive Systems using models and aspects
Since software systems need to be continuously available under varying conditions, their ability to evolve at runtime is increasingly seen as one key issue. Modern programming fra...
Brice Morin, Olivier Barais, Grégory Nain, ...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 8 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski