Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
The working set model for program behavior
Communications of the ACM
Optimizing locality for ODE solvers
ICS '01 Proceedings of the 15th international conference on Supercomputing
Using complete machine simulation to understand computer system behavior
Using complete machine simulation to understand computer system behavior
A fast and accurate framework to analyze and optimize cache memory behavior
ACM Transactions on Programming Languages and Systems (TOPLAS)
Restructuring computations for temporal data cache locality
International Journal of Parallel Programming
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We use simulation-based analysis to compare and investigate different shared-memory implementations of parallel and sequential embedded Runge-Kutta solvers for systems of ordinary differential equations. The results of the analysis help to provide a better understanding of the locality and scalability behavior of the implementations and can be used as a starting point for further optimizations.