Imaging is center stage in biology. Advances in microscopy and labeling techniques have
enabled unprecedented observations and continue to inspire new developments. Efficient …

Distributed particle filters (PFs) have received extensive attention because of its excellent
performance. Generally, it needs to transmit particles to multiple processing units (PUs) in …

Particle filters are important techniques to support data assimilation for large-scale spatial
temporal simulation systems. Distributed particle filters improve the performance of particle …

. We present the parallel particle filtering (PPF) software library, which enables hybrid
shared-memory/distributed-memory parallelization of particle filtering (PF) algorithms …

Particle filters (PF) are key algorithms for object tracking under non-linear, non-Gaussian
dynamics. The high computational cost of particle filters, however, hampers their …

Contemporary scientific simulations require vast computing power to solve complex
problems in natural and life sciences. High-performance computing (HPC) enables fast …