Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
A semi-dynamic system is presented that is capable of predicting the performance of parallel programs at runtime. The functionality given by the system allows for efficient handl...
Accurate performance predictions are difficult to achieve for parallel applications executing on production distributed systems. Conventional point-valued performance parameters a...
Optimizing the performance of dynamic load balancing toolkits and applications requires the adjustment of several runtime parameters; however, determining sufficiently good value...
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...