This work studies the temporal imbalance that processes experience when operating on a modern multicore cluster, and develops hierarchical algorithms that tolerate this imbalance. A micro-benchmark is used to investigate the nature of process imbalance with perfectly balanced workloads, and understand the nature of interversus intra-node imbalance. These insights are then used to develop imbala...

The hierarchical Dirichlet process (HDP) can provide a nonparametric prior for a mixture model with grouped data, where mixture components are shared across groups. However, the computational cost is generally very high in terms of both time and space complexity. Therefore, developing a method for fast inference of HDP remains a challenge. In this paper, we assume a symmetric multiprocessing (S...

Artificial intelligence planning methods haven’t been used until rec ently to address the problem of computer-aided process planning (CAPP) in manufacturing in its entirety. They were simply not developed enough to tackle real-world problems of that complexity. In the paper we show that with so-called Hierarchical Task Networks, a recently matured general-purpose domainindependent planning meth...

Functional data, with basic observational units being functions (e.g., curves, surfaces) varying over a continuum, are frequently encountered in various applications. While many statistical tools have been developed for functional data analysis, the issue of smoothing all functional observations simultaneously is less studied. Existing methods often focus on smoothing each individual function s...

The present research identifies and prioritizes the effective organizational structure components using content (theme) analysis and Delphi technique and hierarchical analysis (Case Study of Regional Electric Companies of Iran). The present study is applied  based on purpose and is exploratory-survey based on the nature and method of data collection. The statistical population of this study inc...

OMNeT++ is a discrete event simulation environment primarily designed for communication networks. In this paper we present an approach to enable OMNeT++ to simulate complex hierarchical process chains. Process chains are a common modeling paradigm in the logistics area for the analysis and optimization of large process chains and have been intensely used in many practical applications. Their ev...

Information technology (IT) outsourcing has been recognized as a new methodology in many organizations. Yet making an appropriate decision with regard to selection and use of these methodologies may impose uncertainties and risks. Estimating the occurrence probability of risks and their impacts organizations goals may reduce their threats. In this study, an extended analytical hierarchical proc...

The ornamental and medicinal saffron with high economic value encompasses a great share of non-oil exports in Iran. As a result, identification of suitable areas for saffron cultivation in Ardabil province located in northwestern part of Iran necessitate effective planning for expanding cultivation and production of this product. Given the effect of various environmental factors on growth and y...

In many applications of functional data analysis, summarising functional variation based on fits, without taking account of the estimation process, runs the risk of attributing the estimation variation to the functional variation, thereby overstating the latter. For example, the first eigenvalue of a sample covariance matrix computed from estimated functions may be biased upwards. We display a ...