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This article reports on first results of the KONWIHR-II project OMI4papps atthe Leibniz Supercomputing Centre (LRZ). The first part describes Apex-MAP, atunable synthetic benchmark designed to simulate the performance of typicalscientific applications. Apex-MAP mimics common memory access patterns anddifferent computational intensity of scientific codes. An approach formodelling LRZ's application mix is given whichh makes use of performancecounter measurements of real applications running on "HLRB II", an SGI Altixsystem based on 9728 Intel Montecito dual-cores.  The second part will show how the Apex-MAP benchmark could be used tosimulate the performance of two mathematical kernels frequently used inscientific applications: a dense matrix-matrix multiplication and a sparsematrix-vector multiplication. The performance of both kernels has beenintensively studied on x86 cores and hardware accelerators. We will compare thepredicted performance with measured data to validate our Apex-MAP approach.

OMI4papps: Optimisation, Modelling and Implementation for Highly Parallel Applications