Task-based applications are useful for recent highly parallel
architectures. A typical example of these applications is a tiled
algorithm for matrix factorization. Tile size is a performance parameter
in the tiled matrix factorization algorithm, and its tuning is critical
to the performance. The empirical parameter tuning approach is being
successful for task-based applications. This talk will present the
results of applying the empirical tuning approach to a recent machine.