Projects

HPX

The goal for HPX is to create a high quality, freely available, open source implementation of the ParalleX model for conventional systems, such as classic Linux based Beowulf clusters or multi-socket highly parallel SMP nodes. At the same time, we want to have a very modular and well designed ... [More] runtime system architecture which would allow us to port our implementation onto new computer system architectures. We use real world applications to drive the development of the runtime system, coining out required functionalities and converging onto an stable API which will provide a smooth migration path for developers. The API exposed by HPX is modelled after the interfaces defined by the C++11 ISO standard and adheres to the programming guidelines used by the Boost collection of C++ libraries. [Less]

Charm++

A portable adaptive runtime system for parallel applications. Application developers create an object-based decomposition of the problem of interest, and the runtime system manages issues of communication, mapping, load balancing, fault tolerance, and more. Sequential code implementing the ... [More] methods of these parallel objects is written in C++. Calls to libraries in C++, C, and Fortran are common and straightforward. Charm++ is portable across individual workstations, clusters, accelerators (Cell SPEs, GPUs), and supercomputers such as those sold by IBM (Blue Gene, POWER) and Cray (XT3/4/5/6 and XE6). Applications based on Charm++ are used on at least 5 of the 20 most powerful computers in the world. [Less]

Evolutionary computation framework

ECF is a C++ framework intended for application of any type of evolutionary computation. Current features include: * parameterless: genotype (individual structure) is the only mandatory parameter * genetic algorithm genotypes (bitstring, binary encoded real values, floating point vectors ... [More] , permutation vectors), genetic programming genotype (tree) * individuals may contain any genotypes in any number * algorithms: steady state tournament, generational roulette-wheel, particle swarm optimization (PSO) * parallel execution in many models (global paralel EA, distributed EA, hybrid parallel EA...) using MPI [Less]