A stencil scaling approach for accelerating matrix-free finite element implementations
This work provides a computationally cheaper method for finite element assembly in large-scale simulations, benefiting computational scientists and engineers solving elliptic PDEs.
The paper introduces a stencil scaling approach for matrix-free finite element assembly that reduces floating-point operations by roughly two-thirds compared to classical schemes, achieving asymptotically optimal convergence and demonstrating scalability to over 160 billion degrees of freedom on 14,310 cores.
We present a novel approach to fast on-the-fly low order finite element assembly for scalar elliptic partial differential equations of Darcy type with variable coefficients optimized for matrix-free implementations. Our approach introduces a new operator that is obtained by appropriately scaling the reference stiffness matrix from the constant coefficient case. Assuming sufficient regularity, an a priori analysis shows that solutions obtained by this approach are unique and have asymptotically optimal order convergence in the $H^1$- and the $L^2$-norm on hierarchical hybrid grids. For the pre-asymptotic regime, we present a local modification that guarantees uniform ellipticity of the operator. Cost considerations show that our novel approach requires roughly one third of the floating-point operations compared to a classical finite element assembly scheme employing nodal integration. Our theoretical considerations are illustrated by numerical tests that confirm the expectations with respect to accuracy and run-time. A large scale application with more than a hundred billion ($1.6\cdot10^{11}$) degrees of freedom executed on 14,310 compute cores demonstrates the efficiency of the new scaling approach.