Big data machine learning and graph analytics have been widely used in industry,
academia and government. Continuous advance in this area is critical to business success …

Cardiac dynamics modeling has been useful for studying and treating arrhythmias.
However, it is a multiscale problem requiring the solution of billions of differential equations …

The use of computer models as a tool for the study and understanding of the complex
phenomena of cardiac electrophysiology has attained increased importance nowadays. At …

This work presents the lattice Boltzmann method (LBM) for computational simulations of the
cardiac electrical activity using monodomain model. An optimized implementation of the …

We disclose the generality of the intrinsic mechanisms underlying multistability in
reciprocally inhibitory 3-cell circuits composed of simplified, low-dimensional models of …

The study of complex systems has emerged as an important field with many discoveries still
to be made. Computer simulation and visualization provide important tools for studying …

Abstract Background and Objective: Numerical simulations are valuable tools for studying
cardiac arrhythmias. Not only do they complement experimental studies, but there is also an …

As the HPC community moves into the exascale computing era, application energy is
becoming as large of a concern as performance. Optimizing for energy will be essential in …

With the collapse of single-processor computing in the high performance computing (HPC)
field, a wave of parallel-computing has emerged. Alongside the paradigm shift of …

The co-existence of multistable rhythms generated by oscillatory neural circuits made up of 4
and more cells, their onset, stability conditions, and the transitions between such rhythms …