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Particle accelerators are among the largest, most complex devices. To meetthe challenges of increasing energy, intensity, accuracy, compactness,complexity and efficiency, increasingly sophisticated computational tools arerequired for their design and optimization. It is key that contemporarysoftware take advantage of the latest advances in computer hardware andscientific software engineering practices, delivering speed, reproducibilityand feature composability for the aforementioned challenges. A new open sourcesoftware stack is being developed at the heart of the Beam pLasma AcceleratorSimulation Toolkit (BLAST) by LBNL and collaborators, providing newparticle-in-cell modeling codes capable of exploiting the power of GPUs onExascale supercomputers. Combined with advanced numerical techniques, such asmesh-refinement, and intrinsic support for machine learning, these codes areprimed to provide ultrafast to ultraprecise modeling for future acceleratordesign and operations.

Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale