Real-time Equation-of-Motion Coupled-Cluster Cumulant Green's Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-body Methods Infrastructure
Himadri Pathak, Ajay Panyala, Bo Peng, Nicholas P. Bauman, Erdal, Mutlu, John J. Rehr, Fernando D. Vila, Karol Kowalski

TL;DR
This paper presents a scalable, GPU-accelerated implementation of the real-time equation-of-motion coupled-cluster cumulant Green's function method within the TAMM tensor infrastructure, enabling accurate spectral simulations for large molecules.
Contribution
The authors developed a fully complex algebra, massively parallel implementation of RT-EOM-CC within TAMM, supporting large-scale spectral calculations on heterogeneous GPU systems.
Findings
Achieved over 90% parallel efficiency up to 400 GPUs.
Successfully simulated core photo-emission spectra for molecules with hundreds of orbitals.
Results agree well with experimental ionization energies.
Abstract
We report the implementation of the real-time equation-of-motion coupled-cluster (RT-EOM-CC) cumulant Green's function method [J. Chem. Phys. 152, 174113 (2020)] within the Tensor Algebra for Many-body Methods (TAMM) infrastructure. TAMM is a massively parallel heterogeneous tensor library designed for utilizing forthcoming exascale computing resources. The two-body electron repulsion matrix elements are Cholesky-decomposed, and we imposed spin-explicit forms of the various operators when evaluating the tensor contractions. Unlike our previous real algebra Tensor Contraction Engine (TCE) implementation, the TAMM implementation supports fully complex algebra. The RT-EOM-CC singles (S) and doubles (D) time-dependent amplitudes are propagated using a first-order Adams--Moulton method. This new implementation shows excellent scalability tested up to 500 GPUs using the Zn-porphyrin molecule…
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Taxonomy
TopicsAdvanced NMR Techniques and Applications · Physics of Superconductivity and Magnetism · Quantum, superfluid, helium dynamics
