WarpX simulation of a laser-plasma accelerator, using cutting-edge algorithmic methods such as mesh refinement (green box) to zoom the spatial resolution around the accelerated electron beam (white).

High-performance computing, the cornerstone of AMP’s activities, holds transformative potential in many areas. From exascale computing, data science, and artificial intelligence/ machine learning to the realization of quantum computing, these advancements in computational power are poised to revolutionize numerous scientific disciplines. This includes modeling particle beams, particle accelerators, plasma science, fusion devices, and more, promising a future of unprecedented possibilities.

Our approach is a testament to the power of interdisciplinary collaboration, bringing together physicists, applied mathematicians, computer scientists, and software developers. This diverse team is united in its pursuit of greater fidelity, as proven analytically and through experimental benchmarking; higher efficiency, enabling us to delve into greater detail with the computational resources at our disposal; and the continuous enhancement and integration of codes for ever more comprehensive multiphysics modeling.

Illustration of improvement with and without use of a Lorentz-boosted frame of reference

Simulation in a Lorentz-boosted frame of reference (top) brings orders of magnitude speed-up compared to simulations in the laboratory frame (bottom) without loss of accuracy.

Our commitment to scientific excellence is matched only by our dedication to pushing the boundaries of technology. We are active partners in and early adopters of performance-portable algorithm design and implementation, petabyte-scale data I/O, research into AI/ML methods, autonomous optimization, scalable in situ algorithms and visualization, workflow development, usability, benchmarking and performance tuning, and sustainable open software engineering.

Berkeley Lab, our home, is a strategic advantage for our endeavors. It houses invaluable central resources for modeling and simulation, including a robust and highly collaborative Computing Sciences Area and the National Energy Research Supercomputing Center.