Adaptative parallel simulators for bioinspired computing models

Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments

Massively parallel desktop computing capabilities now well within the reach of individual academics modify the environment for posterior simulation in fundamental and potentially quite advantageous ways. But to fully exploit these benefits algorithms that conform to parallel computing environments are needed. This paper presents a sequential posterior simulator designed to operate efficiently i...

Programming Models for Parallel Computing

Models for Parallel Computing: Review and Perspectives

As parallelism on di erent levels becomes ubiquitous in today's computers, it seems worthwhile to provide a review of the wealth of models for parallel computation that have evolved over the last decades. We refrain from a comprehensive survey and concentrate on models with some practical relevance, together with a perspective on models with potential future relevance. Besides presenting the mo...

Graph partitioning models for parallel computing

Calculations can naturally be described as graphs in which vertices represent computation and edges reeect data dependencies. By partitioning the vertices of a graph, the calculation can be divided among processors of a parallel computer. However, the standard methodology for graph partitioning minimizes the wrong metric and lacks expressibility. We survey several recently proposed alternatives...

Programming Models for Parallel Heterogeneous Computing

Many of the computational problems we are facing today are complex and need huge computational power to be solved. It is well-known that processors will not continue to get faster, but will get more cores instead. More cores are not only harder to utilize by an application programmer, but also challenge hardware designers. Thus various new hardware architectures are designed and evaluated in or...