MG4ML (Inno4Scale Innovation Study) - Multigrid Methods for Multilevel Approaches
The study focuses on advancing multilevel domain decomposition techniques to increase the scalability and efficiency of lattice QCD computations on exa-scale supercomputers. Lattice QCD is the pre-eminent ab initio method for solving the fundamental theory of the strong interaction, quantum chromodynamics, in the low-energy regime. Its indispensable role in exploring the precision limit of the Standard Model (SM) makes it a key player in the ongoing search for new physics. While lattice QCD has been seamlessly integrated into the high-performance computing (HPC) infrastructure, challenges arise as the lattice dimensionality increases.
The scalability of lattice QCD algorithms lags behind the rapid advances in supercomputing technology. This disparity is due to the predominantly bandwidth-bound nature of lattice QCD applications, which requires algorithms that can effectively exploit the significant ratio between peak floating-point performance and bandwidth in modern HPC clusters equipped with GPUs. To address these challenges, our study introduces a novel multi-level setup that divides the lattice into frozen and active domains. The active domains, which are updated more frequently during execution, exploit locality to decouple correlations, thereby increasing efficiency.
By strategically reusing information from the frozen domains, statistical accuracy is efficiently increased. This innovative approach relies on the development of efficient methods for computing fermionic propagators that exploit the locality properties of the Dirac operator. In addition, the high parallelizability of the setup promises a significant improvement in the scalability of lattice QCD applications.
CyI Principal Investigator: Dr. Simone Bacchio
Innovation Study Coordinator: The Cyprus Institute
Additional Info
- Acronym: MG4ML
- Website: Under Construction
- Center: CaSToRC
- Funding Source: HORIZON-EUROPE-JU-2022-ALG-02 / 2023 Call for Inno4scale Innovation Studies
- CyI Funding: €127.000
- Funding Period: 1 year
- Starting Date: 01/02/2024
- End Date: 31/01/2025
- Coordinator: BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION (BSC CNS)
- Partners: BERGISCHE UNIVERSITAET WUPPERTAL
