Session

DescriptionThis minisymposium will explore the physics potential of exascale computing for Lattice Quantum Chromodynamics (QCD) and its impact on our understanding of fundamental particle physics. Novel algorithms and new computing paradigms, in particular machine learning at the level of Monte Carlo integration and in data analysis will be discussed. To fully and efficiently exploit next-generation computing lattice QCD requires significant algorithm development and optimisation – including the development of efficient, resilient sparse solvers, redesigned workflows and data management on highly scalable heterogeneous architectures, including porting and optimisation of codes for accelerators. These challenges are common across computational domains and for the societal grand challenges addressed in the conference theme. Through talks and a panel discussion the minisymposium will elucidate how scientific computing motivated by open questions in fundamental physics leads to computing solutions at exascale that are relevant and timely for many HPC applications.