The memory behavior of cache oblivious stencil computations
We present and evaluate a cache oblivious algorithm for stencil computations, which arise for example in finite-difference methods. Our algorithm applies to arbitrary stencils in n-dimensional spaces. On an "ideal cache" of size Z, our algorithm saves a factor of Theta(Z(1/n)) cache misses compared to a naive algorithm, and it exploits temporal locality optimally throughout the entire memory hierarchy. We evaluate our algorithm in terms of the number of cache misses, and demonstrate that the memory behavior agrees with our theoretical predictions. Our experimental evaluation is based on a finite-difference solution of a heat diffusion problem, as well as a Gauss-Seidel iteration and a 2-dimensional LBMHD program, both reformulated as cache oblivious stencil computations.
stencil computations cache oblivious algorithms analysis of algorithms performance analysis system simulation