Large-scale branch contingency analysis through master/slave parallel computing

Java Communications for Large-Scale Parallel Computing

Parallel branch, cut, and price for large-scale discrete optimization

In discrete optimization, most exact solution approaches are based on branch and bound, which is conceptually easy to parallelize in its simplest forms. More sophisticated variants, such as the so-called branch, cut, and price algorithms, are more difficult to parallelize because of the need to share large amounts of knowledge discovered during the search process. In the first part of the paper...

Performance Analysis of Homogeneous On-Chip Large-Scale Parallel Computing Architectures for Data-Parallel Applications

On-chip computing platforms are evolving from single-core bus-based systems to many-core network-based systems, which are referred to as On-chip Large-scale Parallel Computing architectures (OLPCs) in the paper. Homogenous OLPCs feature strong regularity and scalability due to its identical cores and routers, and each core has the same computation capability and work in (Single Program Multiple...

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...