Λόγω παλαιότητας πρόκειται να αποσύρουμε την πλειονότητα των κόμβων HellasGRID ξεκινώντας από τον HG-03-AUTH. Το παρακάτω ερωτηματολόγιο θα μας βοηθήσει να προγραμματίσουμε τα επόμενα βήματα ανάλογα με τις ανάγκες σας.
The Greek Research and Technology Network (GRNET) pioneers in the field of supercomputing infrastructures, by proceeding to the development of Greece’s first national high-performance computing system (HPC) to support large-scale scientific applications. The supply and installation of the new system was assigned to COSMOS Business Systems in collaboration with IBM, after an open international tender, which was carried out by GRNET. The new infrastructure is expected to play an important role in the development and promotion of scientific research in the country and in South East Europe.
Climate change is unequivocal, as is evident from observations of increases in global average air and ocean temperatures, widespread melting of snow and ice and rising global average sea level (IPCC, 2007). Since climate change is concerned with important societal issues, it is very important to assess impacts of climate change already underway and address adaptation strategies to reduce vulnerability and risks of climate change.
Climate models use mathematics and the laws of physics to simulate the interactions of the basic components of the climate system. Differential equations are used to relate fundamental physical quantities (e.g. temperature, pressure, wind etc) to each other. Each equation is solved at discrete grid points on the earth’s surface, at a fixed time interval (time-step) and several vertical layers, defined by the regular three-dimensional grid. Horizontal resolutions of global climate models range between 100-200 Km while of regional climate models from 10 to 50 Km.
In the Department of Meteorology and Climatology at the Aristotle University of Thessaloniki high resolution (10 Km) transient (1961-2050) climatic simulations were performed over South Eastern Europe with the regional climate model RegCM3 (http://gforge.ictp.it/gf/project/regcm/) using the HellasGrid resources within the framework of the ongoing project Geoclima.
The simulations were performed under the IPCC A1B scenario (http://www.ipcc.ch/ipccreports/tar/wg1/029.htm). Projected near-surface temperatures staring from present climate until the middle of the 21st century are shown in Figure 1.
Figure 1 – Evolution (1961-2050) of near-surface temperature over South Eastern Europe simulated in AUTH using the Hellas-Grid computational resources
The final aim of Geoclima (www.geoclima.eu) project is to develop a Geographical Information System (GIS) allowing the user to visualize, manage and analyze the information which is directly or indirectly related to climate and its future projections over SE Europe.
H. Feidas (PI), Associate Professor, AUTH, hfeidas (at) geo.auth.gr
P. Zanis, Assistant Professor, AUTH, zanis (at) geo.auth.gr
E. Katragkou, Lecturer, AUTH, katragou (at) auth.gr
Scientific Computing Center, AUTH, contact (at) grid.auth.gr
IPCC, 2007: Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R.K and Reisinger, A. (eds.)]. IPCC, Geneva, Switzerland, 104 pp.
Η Λέκτορας του τμ. Γεωλογίας κα. Ελένη Κατράγκου, EGI Champion, μιλά στο EGI Community Forum 2013, στο Manchester για την έρευνά της. Το Grid Computing όπως αναφέρει είναι ιδιαιτέρως σημαντικό γιατί παρέχει στους ερευνητές τους απαραίτητους υπολογιστικούς και αποθηκευτικούς πόρους, καθώς και την τεχνική βοήθεια για να εκτελέσουν περίπλοκες και μακροπρόθεσμες κλιματικές προσομοιώσεις.
Σύμφωνα με την κυρία Κατράγκου, το Grid Computing διευκολύνει την υποκλιμάκωση των προσομοιώσεων από ένα παγκόσμιο σε ένα τοπικό επίπεδο. Τα υψηλής ανάλυσης δεδομένα χρησιμοποιούνται σε στρατηγικές προσαρμογής και στην διαχείριση ρίσκου που σχετίζονται την κλιματική αλλαγή και έχουν ιδιαίτερες επιπτώσεις στην κοινωνία. Παροτρύνει τους ερευνητές να έρθουν σε επαφή με το EGI και τις παρεχόμενες υπηρεσίες για να βελτιώσουν την δουλειά τους.
The fourth episode of EGI's 'Stories from the grid' was launched today. In this new video we travel to Serbia, where Bojan Novakovic explains how grid computing helps astronomers to explain the origins of main belt comets.
EGI is pleased to announce that another three brilliant scientists have joined our Champion network.
EGI Champions are enthusiastic researchers who use EGI computing resources for their work and are keen to liaise with research communities to spread the word about the benefits of grid computing to science.
Our new champions are:
Afonso Duarte, a biophysicist based at ITQB in Portugal, where he uses NMR spectroscopy and protein modelling to understand how solutes are transported through cell membranes. He is a Marie Curie Fellow.
and Joeri van Leeuwen, an astronomer involved in the Low Frequency Array (LOFAR) experiment in the Netherlands.
In our new case study Alina Frolova, explains why gene regulatory networks are important for our understanding of life, with a little help from The Hitchhiker's Guide to the Galaxy.
Currently the following free licenced software has been installed at the HellasGrid sites serving the South Eastern Europe virtual organization (SEE-VO). For each software is given its name, the tag with which it is published by every site, its official site and a guide on how to use it. Regional users who are members of the SEE-VO may request tha installation of additional software in the SEE-VO sites, by sending a request to the HellasGrid Application Support Team.
|Software Name||Software Tag||Software Site||How to use it|
|GNU Scientific Library||VO-see-gsl-1.9||R6||G6|
Also at every site other software packages have been installed concerning other VOs, like atlas, cms, biomed, etc.
We have a new case study on our website!
This time, Serena Oggero, a PhD student at NIKHEF (The Netherlands), gives us a first-person acoount of what is it like to use grid computing. The case study - B-physics on the grid: the view from the front - describes Serena's research at the LHCb and the role the grid plays.
Here is how it starts:
If you ask “hey man, shall we go for a beer later?,” how many of your friends reply with something like: “maybe tomorrow, I really have to baby-sit my ntuples tonight”?
Welcome to the happy and slightly geeky particle physics community! Happy, because I think we are a species of truly fortunate people, despite our constant scepticism and restlessness. And most of us were already slightly geeky anyway, even before starting to baby-sit ntuples. [continue reading...]
How grid computing allows for a better management of coastal resources.
The Aveiro Lagoon in Portugal is a national treasure. With a length of about 45km and separated from the Atlantic Ocean by a sandy dune barrier, this shallow lagoon is one of Europe’s last pristine coastal marshes and a haven for many bird species. The Ria de Aveiro, as it is known locally, is also an important source of revenue in the region, fuelling not only the tourism and aquaculture industries but also artisan fishing and the collection of fleur de sel, a prized variety of salt.
In the past few years the lagoon (technically a half-delta) has been threatened by a decrease in water quality due to industrial, urban and agricultural effluents, but thanks to the Ria’s economic, ecologic and cultural importance, there is a strong push to preserve its ecosystem. The key to long-term sustainability is efficient management and to achieve that, decision-makers need to have a solid understanding of this environment.
Marta Rodrigues and Anabela Oliveira, together with colleagues from National Laboratory for Civil Engineering, Portugal (LNEC), applied a three-dimensional computational model called ECO-SELFE to the Aveiro Lagoon scenario. ECO-SELFE is a fully-coupled ecological-hydrodynamic model. This means that it has modules that determine physical variables (e.g. currents, water temperature or salinity) alongside others for biochemical processes (e.g. carbon, nitrogen cycles) and even ecological relationships at the base of the food chain (e.g. plankton mortality or availability of prey). The idea was to determine how the different ecological input parameters are interconnected and which ones are the most likely to affect the model results and the health of the lake.