Writing software for one parallel system is a feasible though arduous task. Reusing the
substantial intellectual effort so expended for programming a second system has proved …

Two array signal processing techniques are combined with independent component
analysis (ICA) to enhance the performance of blind separation of acoustic signals in a …

We address the design of algorithms for multicores that are oblivious to machine
parameters. We propose HM, a multicore model consisting of a parallel shared-memory …

Цель данного обзора дать максимально полное представление о достижениях и
современном состоянии дел в разработке аналитических моделей параллельных …

This paper examines a novel parallel computation model called bulk synchronous farm
(BSF) that focuses on estimating the scalability of compute-intensive iterative algorithms …

The ability of parallel computing to process large data sets and handle time-consuming
operations has resulted in unprecedented advances in biological and scientific computing …

Algorithms that have to process large data sets have to take into account that the cost of
memory access depends on where the data is stored. Traditional algorithm design is based …

We study the design and analysis of parallel join algorithms in a topology-aware
computational model. In this model, the network is modeled as a directed graph, where each …

The bulk-synchronous parallel (BSP) model provides a framework for writing parallel
programs with predictable performance. In this paper we extend the BSP model to support …

Predicting how well applications may run on modern systems is becoming increasingly
challenging. It is no longer sufficient to look at number of floating point operations and …