Description
Chairperson: Thomas Baumann (JSC)
In biology, the vast majority of systems can be modeled as ordinary differential equations (ODEs). Modeling more finely biological objects leads to increase the number of equations. Simulating ever larger systems also leads to increasing the number of equations. Therefore, we observe a large increase in the size of the ODE systems to be solved. A major lock is the limitation of ODE numerical...
The 2D block-cyclic pattern is a well-known solution to distribute the data of a matrix among homogenous nodes. Its ease of implementation and good performance makes it widely used.
With the increased popularity and efficiency of task-based distributed runtime systems, it becomes feasible to consider more exotic patterns. We have recently proposed improvements in two different...
Abstract
Today, cardiovascular diseases are among the leading causes of death worldwide.
With a special focus on the treatment of hypertension and the clinical consequences, thereof, the computational modeling of fluid-structure interaction with pharmaco-mechanical effects becomes vastly relevant.
Therefore, the state of the art of fluid-structure interaction is extended to reflect...
Krylov subspace methods are used to solve linear system with large sparse matrix, where main operations consist of the SpMV, operation of sparse matrix multiplication to vector and the inner product operation. The most common data structure to keep the sparse matrix is called CSR that only keeps nonzero entries in each row with compressed format. However, computational complexity of SpMV is...
Batched linear solvers, which solve many small related but independent problems, are important in several applications. This is increasingly the case for highly parallel processors such as graphics processing units (GPUs), which need a substantial amount of work to keep them operating efficiently and solving smaller problems one-by-one is not an option. Because of the small size of each...
