Amanote Research
Register
Sign In
Predictive Evaluation of Partitioning Algorithms Through Runtime Modelling
doi 10.1109/hipc.2016.048
Full Text
Open PDF
Abstract
Available in
full text
Date
December 1, 2016
Authors
R. A. Bunt
S. A. Wright
S. A. Jarvis
Y. K. Ho
M. J. Street
Publisher
IEEE
Related search
Mixed 0-1 Programming Through Benders' Partitioning Procedures and Genetic Algorithms
Journal of Japan Society for Fuzzy Theory and Systems
Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Mechanistic Modelling of Carbon Partitioning
Dependability Verification for Contextual/Runtime Goal Modelling
Performance Evaluation of Model-Driven Partitioning Algorithms for Data-Parallel Kernels on Heterogeneous Platforms
Computational and Mathematical Methods
Enabling Dynamic Crowdsensing Through Models@Runtime
Journal of Applied Computing Research
Understanding the Partitioning of Rainfall by the Maize Canopy Through Computational Modelling and Physical Measurements
Discovery of Microservice-Based IT Landscapes at Runtime: Algorithms and Visualizations
Mechanistic Modelling of Water Partitioning Behaviour in Hydrocyclone
Chemical Engineering Science
Applied Mathematics
Chemistry
Chemical Engineering
Manufacturing Engineering
Industrial
