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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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freely behaving rodent pups. A parallel research line investigates the circuit-level basis of spatial memory in the entorhinal–hippocampal system in adult animals. The group uses in vivo multi-site
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modern numerical methods built on libraries like PETSc and deal.ii, such as adaptive mesh refinement, solving Multiphysics, and has great power in parallelization. ASPECT has not been used previously