Reconstructing Prefecture-level Large-scale Household Composition Using Parallel Computing

Java Communications for Large-Scale Parallel Computing

Scalable Fault Tolerance for Large-Scale Parallel and Distributed Computing

The unquenchable desire of scientists to run ever larger simulations and analyze ever larger data sets is fueling a relentless escalation in the size of supercomputing clusters from hundreds, to thousands, and even tens of thousands of processors (Dongarra, Meuer & Strohmaier, 2004). Unfortunately, the struggle to design systems that can scale up in this way also exposes the current limits of o...

Adaptive Mesh Refinement for Large Scale Parallel Computing with DOLFIN

The design of a parallel implementation of the finite element software DOLFIN is described. To be able to handle large scale problems a new distributed mesh is developed. New distributed preand post processing routines are implemented in order to efficiently deal with the massive amount of data. New parallel mesh refinement algorithms are described and implemented. In order to obtain maximum pa...

Large-Scale Parallel Computing of Cloud Resolving Storm Simulator

A sever thunderstorm is composed of strong convective clouds. In order to perform a simulation of this type of storms, a very fine-grid system is necessary to resolve individual convective clouds within a large domain. Since convective clouds are highly complicated systems of the cloud dynamics and microphysics, it is required to formulate detailed cloud physical processes as well as the fluid ...

Parallel Computing for Large-Scale Optimization Problems: Challenges and Solutions

Optimization refers to the minimization (or maximization) of an objective function of several decision variables that have to satisfy specified constraints. There are many applications of optimization. One example is the portfolio optimization problem where we seek the best way to invest some capital in a set of n assets. The constraints might represent a limit on the budget (i.e., a limit on t...