Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels

Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the correctness of all essential components or phases in a science simulation. Second, a model that is validated at multiple resolution levels is the very first step to generate predictive performance models, for not only existing systems but also for emerging systems and future problem sizes. We present the design and validation of hierarchical performance models of two scientific benchmarks using a new technique called the modeling assertions (MA). Our MA prototype framework generates symbolic performance models that can be evaluated efficiently by generating the equivalent model representations in Octave and MATLAB. The multi-resolution modeling and validation is conducted on two contemporary, massively-parallel systems, XT3 and Blue Gene/L system. The workload distribution and the growth rates predictions gene...

• Type: Conference
• Year: 2006
• Where: EUROPAR
• Authors: Sadaf R. Alam, Jeffrey S. Vetter
• Keywords: Distributed And Parallel Computing, EUROPAR 2006, Hierarchical Performance Models, MA Models, Performance Models