Benchmark workload generation and performance characterization of multiprocessors
Arun Kumar Nanda, Lionel Ming-shuan Ni · Conference on High Performance Computing (Supercomputing) · 1992
A comprehensive benchmark workload generation and performance characterization methodology is described for multiprocessors supporting the shared-variable computational paradigm. The method can be tailored to meet the selective assessment needs of each individual situation. The approach is based on characterizing a unit grain of computation to generate a desired benchmark workload, and using a family of workload emulation kernels to systematically investigate the effect of each parameter in the workload on the multiprocessor performance. The resultant characterization is independent of any particular application or algorithm. >