Advanced Techniques for High-Performance Fock Matrix Construction on GPU Clusters

Abstract

This Article presents two optimized multi-GPU algorithms for Fock matrix construction, building on the work of Ufimtsev et al. and Barca et al. The novel algorithms, opt-UM and opt-Brc, introduce significant enhancements, including improved integral screening, exploitation of sparsity and symmetry, a linear scaling exchange matrix assembly algorithm, and extended capabilities for Hartree-Fock caculations up to $f$-type angular momentum functions. Opt-Brc excels for smaller systems and for highly contracted triple-$\hat{I}\P$ basis sets, while opt-UM is advantageous for large molecular systems. Performance benchmarks on NVIDIA A100 GPUs show that our algorithms in the EXtreme-scale Electronic Structure System (EXESS), when combined, outperform all current GPU and CPU Fock build implementations in TeraChem, QUICK, GPU4PySCF, LibIntX, ORCA, and Q-Chem. The implementations were benchmarked on linear and globular systems and average speed ups across three double-$\hat{I}\P$ basis sets of 1.5$\times$, 5.2$\times$, and 8.5$\times$ were observed compared to TeraChem, GPU4PySCF, and QUICK respectively. Strong scaling analysis reveals over 91% parallel efficiency on four GPUs for opt-Brc, making it typically faster for multi-GPU execution. Single-compute-node comparisons with CPU-based software like ORCA and Q-Chem show speedups of up to 42$\times$ and 31$\times$, respectively, enhancing power efficiency by up to 18$\times$.