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Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors., , , , , and . PDP, page 741-750. IEEE Computer Society, (2018)STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale., , , , , , , , , and 5 other author(s). Frontiers Neuroinformatics, (2022)An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language., , , , , , and . CoRR, (2019)A Pthreads Wrapper for Fortran 2003., and . ACM Trans. Math. Softw., 40 (3): 19:1-19:15 (2014)Modernizing the NEURON Simulator for Sustainability, Portability, and Performance., , , , , , , , , and 5 other author(s). Frontiers Neuroinformatics, (2022)An efficient low-rank Kalman filter for modern SIMD architectures., and . Concurr. Comput. Pract. Exp., (2018)A portable OpenCL implementation of generic particle-mesh and mesh-particle interpolation in 2D and 3D., , and . Parallel Comput., 39 (2): 94-111 (2013)A High-Throughput Kalman Filter for Modern SIMD Architectures., , and . Euro-Par Workshops, volume 10659 of Lecture Notes in Computer Science, page 378-389. Springer, (2017)An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language., , , , , , and . ICCS (1), volume 12137 of Lecture Notes in Computer Science, page 45-58. Springer, (2020)Fast neighbor lists for adaptive-resolution particle simulations., , , and . Comput. Phys. Commun., 183 (5): 1073-1081 (2012)