Energy Concerns with HPC Systems and Applications

For various reasons including those related to climate changes, {\em energy} has become a critical concern in all relevant activities and technical designs. For the specific case of computer activities, the problem is exacerbated with the emergence and pervasiveness of the so called {\em intelligent devices}. From the application side, we point out the special topic of {\em Artificial Intelligence}, who clearly needs an efficient computing support in order to succeed in its purpose of being a {\em ubiquitous assistant}. There are mainly two contexts where {\em energy} is one of the top priority concerns: {\em embedded computing} and {\em supercomputing}. For the former, power consumption is critical because the amount of energy that is available for the devices is limited. For the latter, the heat dissipated is a serious source of failure and the financial cost related to energy is likely to be a significant part of the maintenance budget. On a single computer, the problem is commonly considered through the electrical power consumption. This paper, written in the form of a survey, we depict the landscape of energy concerns in computer activities, both from the hardware and the software standpoints.Comment: 20 page

Image Topology Description Using Planar Adjacency Graphs

Topology is a domain that has become increasingly sophisticated over the recent years. There are numerous techniques for modeling surfaces or solids and their mutual relation. This article concentrates on the topology of 2-D space subdivision in application to the gray-scale images. In the first part of this article, we will propose a type of incidence graphs suitable for the representation of image topology and suitable for writing algorithms. In the second part, we will explain the usage of this graph for merging two neighbouring regions, as it can be used for image segmentation. Keywords: Image segmentation, topology, adjacency graphs

A Multiprocessor Architecture For Pde-Based Applications

The paper discusses a parallel, multiprocessor implementation of methods based on partial differential equations (PDE). It focuses on the implementation requirements of segmentation by active contours. Here, the key task is the accurate computation of an implicit description of the contours, i.e. the distance map. This paper demonstrates the use of the proposed architecture by giving a hardware implementation of the distance transform based on the parallel Massive Marching algorithm. The extension of the non-linear filtering implementation is also proposed

Segmentation des images en niveaux de gris (une approche topologique)

LE DOMAINE ABORDE PAR CETTE THESE CONCERNE LA SEGMENTATION DES IMAGES EN NIVEAUX DE GRIS. DEUX APPROCHES PRINCIPALES ET INDEPENDANTES ONT ETE EXPLOITEES : L'APPLICATION DES GRAPHES A L'OPERATEUR H-MINIMA POUR UNE SEGMENTATION DES IMAGES MULTI-CLASSES ET LA SEGMENTATION BASEE SUR LA TOPOLOGIE APPLIQUEE A L'ANGIOGRAPHIE DU FOIE PAR TOMOGRAPHIE. UNE PRESENTATION DES MODELES MATHEMATIQUES EXISTANTS, UTILISES POUR MODELISER LA TOPOLOGIE EST FAITE DANS UN PREMIER TEMPS. LES MODELES PRESENTES SONT DISCUTES DU POINT DE VUE DE LEURS APPLICATIONS A LA SEGMENTATION D'IMAGES. LA METHODE DES H-MINIMA EST UNE METHODE DE MORPHOLOGIE MATHEMATIQUE. ETANT CONCUE POUR SEGMENTER DES IMAGES BI-CLASSES, LES IMAGES MULTI-CLASSES PEUVENT ETRE SEGMENTEES PAR APPLICATION DES H-MINIMA A L'IMAGE DE GRADIENT. L'EXTRACTION DU GRADIENT ENTRAINE TOUTEFOIS UNE PERTE INEVITABLE D'INFORMATION DANS L'IMAGE. UNE MODIFICATION DES H-MINIMA FONDEE SUR DES GRAPHES PONDERES D'ADJACENCE DE REGIONS EST ETUDIEE. L'EXTRACTION DU GRADIENT DEVENANT SUPERFLUE, CETTE APPROCHE PERMET L'APPLICATION DES H-MINIMA AUX IMAGES MULTI-CLASSES. LA SEGMENTATION D'ANGIOGRAPHIE 3-D DE FOIE, PROPOSEE DANS LA DERNIERE PARTIE DE CE MANUSCRIT, EST FONDEE SUR LA TOPOLOGIE DU SYSTEME VASCULAIRE DU FOIE. LA VEINE PORTE AYANT UNE STRUCTURE SANS CYCLES, IL EST POSSIBLE DE CONCEVOIR DES TECHNIQUES DE SEGMENTATION ORIENTEES TOPOLOGIE GARANTISSANT UN RESULTAT TOPOLOGIQUEMENT CORRECT. DEUX METHODES DUALES DE SEGMENTATION ET UNE METHODE DE SQUELETTISATION ONT ETE PROPOSEES. UNE METHODE DE FILTRAGE DE SQUELETTE, FONDEE SUR LA MEME APPROCHE, A ETE ETUDIEE AFIN D'AMELIORER LE RESULTATPARIS-EST Marne-la-Vallee-BU (774682101) / SudocSudocFranceF

Architecture dédiée au traitement d'image basé sur les équations aux dérivées partielles

PARIS-MINES ParisTech (751062310) / SudocSudocFranceF

Liver Blood Vessels extraction by a 3-D topological approach

We propose in this paper a new approach to segmentation of 3-D tomography of liver vessel system. The approach is based on a pointwise reconstruction with restriction to simple points manipulation to preserve the homotopy. We propose and compare two dual methods of the vessel system extraction. The eciency of these methods is demonstrated on a raw X-ray tomography image. The desired level of detail in the vein rami cation system is obtained by adjusting one parameter controlling the admitted level of light intensity

Segmentation of 3D nano-scale polystyrene balls

Pages: 37-3

A New Thinning Algorithm and Its Application to Extraction of Blood Vessels

In this paper we propose a new method of thinning of liver vessel system. The result is a curved-line skeleton which is centered in the object according to its luminosity