Principles of human physiology, with their chief applications to pathology, hygiene, and forensic medicine / by William B. Carpenter.

3rd ed.

Enhancing the performance of spread spectrum techniques in different applications

Spread spectrum, Automotive Radar, Indoor Positioning Systems, Ultrasonic and Microwave Imaging, super resolution technique and wavelet transform

Representations of lattice point sets : theory, algorithms, applications

Magdeburg, Univ., Fak. für Mathematik, Habil.-Schr., 2006

MOVPE growth and characterisation of ZnO properties for optoelectronic applications

ZnO, Epitaxy, Metal organic vapor phase epitaxy, MOCVD, CVD, Semiconductor, Optoelectronics, X-ray diffraction, Cathodoluminescence, Microelectronics

Estimation of nonparametric probability density functions with applications to automatic speech recognition

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2007

Wideband impedance spectrum analyzer with arbitry fine frequency resolution for in situ sensor applications

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2009

Ricci-flat complex geometry and its applications

Magdeburg, Univ., Fak. für Mathematik, Habil.-Schr., 2010

Wireless communication techniques for indoor positioning and tracking applications

Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010

On the stepwise and disciplined engineering of adaptive service-oriented applications

Magdeburg, Univ., Fak. für Informatik, Habil.-Schr., 2010

Technique and clinical applications of double balloon enteroscopy for the evaluation of small bowel diseases

Magdeburg, Univ., Med. Fak., Diss., 2012

Context-aware 3D model generation for biomedical applications

Magdeburg, Univ., Fak. für Informatik, Diss., 2014

Bilinear H 2-optimal Model Order-Reduction with applications to thermal parametric systems

Magdeburg, Univ., Fak. für Mathematik, Diss., 2015

A Grid Supercomputing Enviroment for High Demand Computational Applications

Despite the huge increase in processor and interprocessor network performace, many computational problems remain unsolved due to lack of some critical resources such as floating point sustained performance, memory bandwidth, etc... Examples of these problems are found in areas of climate research, biology, astrophysics, high energy physics (montecarlo simulations) and artificial intelligence, among others. For some of these problems, computing resources of a single supercomputing facility can be 1 or 2 orders of magnitude apart from the resources needed to solve some them. Supercomputer centers have to face an increasing demand on processing performance, with the direct consequence of an increasing number of processors and systems, resulting in a more difficult administration of HPC resources and the need for more physical space, higher electrical power consumption and improved air conditioning, among other problems. Some of the previous problems can´t be easily solved, so grid computing, intended as a technology enabling the addition and consolidation of computing power, can help in solving large scale supercomputing problems. In this document, we describe how 2 supercomputing facilities in Spain joined their resources to solve a problem of this kind. The objectives of this experience were, among others, to demonstrate that such a cooperation can enable the solution of bigger dimension problems and to measure the efficiency that could be achieved. In this document we show some preliminary results of this experience and to what extend these objectives were achieved.