A Framework for HI Spectral Source Finding Using Distributed-Memory Supercomputing

A Framework for HI Spectral Source Finding Using Distributed-Memory Supercomputing

The latest generation of radio astronomy interferometers will conduct all sky surveys with data products consisting of petabytes of spectral line data. Traditional approaches to identifying and parameterising the astrophysical sources within this data will not scale to datasets of this magnitude, since the performance of workstations will not keep up with the real-time generation of data. For t...

A New Framework for Distributed Multivariate Feature Selection

Feature selection is considered as an important issue in classification domain. Selecting a good feature through maximum relevance criterion to class label and minimum redundancy among features affect improving the classification accuracy. However, most current feature selection algorithms just work with the centralized methods. In this paper, we suggest a distributed version of the mRMR featu...

Automatic Localization for Distributed-Memory Multiprocessors Using a Shared-Memory Compilation Framework

In this paper, we outline an approach for compiling for distributed-memory multiprocessors that is inherited from compiler technologies for shared-memory multiprocessors. We believe that this approach to compiling for distributed-memory machines is promising because it is a logical extension of the shared-memory parallel programming model, a model that is easier for programmers to work with, an...

An object-oriented framework for supercomputing

Distributed Heterogeneous Supercomputing Management System

A.n efficient use of a Distributed Heterogeneous Supercomputing System (DHSS) requhes a thorough understanding of applications and their intelligent scheduling within the system. In this paper we present a general management framework for the DHSS, by introducing an application characterization technique, called Code Flow Graph (CFG) and Code Interaction Graph (CIG). These models are based on c...