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Found 6 papers, 1 papers with code
Automatic Tabulation in Constraint Models
The performance of a constraint model can often be improved by converting a subproblem into a single table constraint.
A Constraint Programming-based Job Dispatcher for Modern HPC Systems and Applications
Constraint Programming (CP) is a well-established area in AI as a programming paradigm for modelling and solving discrete optimization problems, and it has been been successfully applied to tackle the on-line job dispatching problem in HPC systems including those running modern applications.
A Machine Learning Approach to Online Fault Classification in HPC Systems
We introduce a high-level, easy-to-use fault injection tool called FINJ, with a focus on the management of complex experiments.
A Commentary on "Breaking Row and Column Symmetries in Matrix Models"
The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix Models" by Flener et al. (https://link. springer. com/chapter/10. 1007%2F3-540-46135-3_31) describes some of the first work for identifying and analyzing row and column symmetry in matrix models and for efficiently and effectively dealing with such symmetry using static symmetry-breaking ordering constraints.
Online Fault Classification in HPC Systems through Machine Learning
As High-Performance Computing (HPC) systems strive towards the exascale goal, studies suggest that they will experience excessive failure rates.
Distributed, Parallel, and Cluster Computing
FINJ: A Fault Injection Tool for HPC Systems
We present FINJ, a high-level fault injection tool for High-Performance Computing (HPC) systems, with a focus on the management of complex experiments.
Distributed, Parallel, and Cluster Computing
