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Explores the challenges of the energy transition and exascale computing in High Performance Computing, focusing on renewable energy scientific challenges and the development of exascale-enabled solvers.
Explores high-performance OPF solvers, addressing challenges in power system optimization and showcasing significant speed-ups and memory-efficient approaches.
Covers the Conjugate Gradient method for solving linear systems without pre-conditioning, exploring parallel computing implementations and performance predictions.
Explores shock waves in medical treatments, including lithotripsy for kidney stones and record-breaking supercomputing performance in computational fluid dynamics.
Covers the adaptation of analytics systems to modern hardware and data challenges, focusing on efficiency and scalability through innovative approaches and hybrid systems.
