Analysis of gene expression data remains one of the most promising avenues toward reconstructing genome-wide gene regulatory networks. However, the large dimensionality of the problem prohibits the fitting of explicit dynamical models of gene regulatory networks, whereas machine learning methods for dimensionality reduction such as clustering or principal component analysis typically fail to pr...

The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an increasing rate. Distribution is a key solution to overcome this data explosion. However, existing solutions are mostly based on architectures with a single point of failure. In this paper, we present Armada, a model for a database architecture to handle large data volumes. Armada assumes autonom...

DHT based peer to peer network system is a general range of query scheme. These schemes can support the range of query without modifying the underlying DHTs and they cannot guarantee to return the query results with bounded delay. The query delay in these schemes depends on both the scale of the system and the size of the query space. This paper, proposed Armada, an efficient range of query pro...

An exciting trend in high-performance distributed computing is the development of widely-distributed networks of heterogeneous systems and devices, known as computational grids. Grid applications use high-speed networks to logically assemble collections of resources such as scientific instruments, supercomputers, databases, and so forth. One important challenge facing grid computing is efficien...

The Entry, Descent and Landing System (EDLS) is one of the main system drivers for an interplanetary mission aiming at landing a payload on a planetary surface. It contains three main subsystems with distinct functions designed for the Entry, the Descent and the Landing phases. Each of these subsystems has specific constraints. The first objective of the EDLS is to land safely a payload with a ...

Distributed structured adaptive mesh refinement (SAMR) techniques offer the potential for accurate and cost-effective solutions of physically realistic models of complex physical phenomena. However, the heterogeneous and dynamic nature of SAMR applications results in significant runtime management challenges. This paper investigates autonomic application-sensitive SAMR runtime management strate...

Distributed implementations of dynamic adaptive mesh refinement techniques offer the potential for accurate solutions of physically realistic models of complex physical phenomena. However, configuring and managing the execution of these applications presents significant challenges in resource allocation, data-distribution and loadbalancing, communication and coordination, and runtime management...

High-performance computing increasingly occurs on “computational grids” composed of heterogeneous and geographically distributed systems of computers, networks, and storage devices that collectively act as a single “virtual” computer. One of the great challenges for this environment is to provide efficient access to data that is distributed across remote data servers in a grid. In this paper, w...

The highest resolution simulation of geodynamo is performed. The base grid system is the Yin-Yang grid, a spherical overset grid with two congruent components each of which is a part of the usual spherical polar coordinates. High parallelization rate of the Yin-Yang geodynamo code has enabled us to perform the geodynamo simulation with the viscosity one order of magnitude smaller than the previ...