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

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

We investigate a class of DNA mixture deconvolution algorithms based on variational
inference, and we show that this can significantly reduce computational runtimes with little or …

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 …

In the present work we address the problem of Monte Carlo approximation of posterior
probability distributions and associated integrals in the Bayesian framework. In particular …

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