Algorithms for Data Flows

* The research was supported by INTAS 00-397 and 00-626 Projects.Data analysis is a regular massif task of applied sciences and businesses. A huge number of algorithms were developed for different kinds of data and for particular types of data analysis. Traditional theories work with traditional databases and data structures, although the paradigm of Internet doesn’t want to wait, requiring novel technologies, able to work effectively with huge amounts of data, with data flows and uncertainties. The two current research projects, INTAS 397 and 626 are devoted to development of these issues. The paper gives the general statement, current results and examples of these researches

Strengthening Compute and Data intensive Capacities of Armenia

International audienceTraditionally, Armenia has had a leading position within the computer science and Information Technology sectors in the South Caucasus region and beyond. Information Technology (IT) is also one of the fastest growing industries of the Armenian economy [1]. In 2000, the Government of Armenia recognized the IT sector as the primary constituent of the country's economic progress. Armenia is, more than ever, in need of cutting-edge and relevant e-infrastructures and e-services to tackle today's societal and scientific challenges. The Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of the Republic of Armenia (NAS RA) [2] is the only state supported structure for software, hardware, and brainware technologies in Armenia. The institute is responsible for Armenia's National research and education network (Academic Scientific Research Computer Network of Armenia, ASNET-AM) [3] and the National Grid Initiative (ArmNGI) [4], and provides computational and networking facilities and advanced services to users. The main objective of this article is to highlight key activities that will spur Armenia to strengthen its scientific computing capacity thanks to the analysis made of the current trends of e-Infrastructures in Europe and the USA

Physics and Earth Science User Communities of Armenian National Grid Initiative

The main purpose of this article is to present the results and activities of physics and earth sciences heavy user communities of Armenian National Grid Initiative (ArmNGI) using computational or storage resources of Armenian National Grid infrastructure (ArmGrid)

Monitoring the species composition of the undergrowth in some regions of Armenia and central Russia

Changes in the species composition of tree species of the undergrowth, the tasks of preserving biodiversity in clearing areas and under the influence of climate change, are of theoretical and practical scientific interest. The main goal of this study was to monitor the species diversity of dominant undergrowth species in the forests of some regions of Armenia and central Russia under conditions of climate change and human activity. In Armenia, research was carried out in Lori and Tavush regions. In Russia, research was carried out in the Kostroma and Moscow regions, located in the center of the Russian Plain. The studies were carried out using route, semi-stationary, stationary methods using generally accepted methods. Field work was carried out during growing seasons from 2019 to 2023. Field surveys were carried out in the most typical forest types for the regions. In the Lori region, 14 families were identified, which include the dominant species of undergrowth, in the Tavush region - 11 families and in the regions of central Russia - 11 families. For all objects of study, the largest number of species contains the Rosaceae family. The main factors influencing understory biodiversity are human activities (logging, recreational impacts, etc.) and climate change. Thus, changes in the climate system of the regions of Armenia and central Russia in the future create new risks for the sustainability of undergrowth biological diversity in forests

Weather Data Visualization and Analytical Platform

This article aims to present a web-based interactive visualization and analytical platform for weather data in Armenia by integrating the three existing infrastructures for observational data, numerical weather prediction, and satellite image processing. The weather data used in the platform consists of near-surface atmospheric elements including air temperature, pressure, relative humidity, wind and precipitation. The visualization and analytical platform has been implemented for 2-m surface temperature. The platform gives Armenian State Hydrometeorological and Monitoring Service analytical capabilities to analyze the in-situ observations, model and satellite image data per station and region for a given period

On the Easy Use of Scientific Computing Services for Large Scale Linear Algebra and Parallel Decision Making with the P-Grade Portal

International audienceScientific research is becoming increasingly dependent on the large-scale analysis of data using distributed computing infrastructures (Grid, cloud, GPU, etc.). Scientific computing (Petitet et al. 1999) aims at constructing mathematical models and numerical solution techniques for solving problems arising in science and engineering. In this paper, we describe the services of an integrated portal based on the P-Grade (Parallel Grid Run-time and Application Development Environment) portal (http://www.p-grade.hu) that enables the solution of large-scale linear systems of equations using direct solvers, makes easier the use of parallel block iterative algorithm and provides an interface for parallel decision making algorithms. The ultimate goal is to develop a single sign on integrated multi-service environment providing an easy access to different kind of mathematical calculations and algorithms to be performed on hybrid distributed computing infrastructures combining the benefits of large clusters, Grid or cloud, when needed

Origin and spread of human mitochondrial DNA haplogroup U7

Human mitochondrial DNA haplogroup U is among the initial maternal founders in Southwest Asia and Europe and one that best indicates matrilineal genetic continuity between late Pleistocene hunter-gatherer groups and present-day populations of Europe. While most haplogroup U subclades are older than 30 thousand years, the comparatively recent coalescence time of the extant variation of haplogroup U7 (~16–19 thousand years ago) suggests that its current distribution is the consequence of more recent dispersal events, despite its wide geographical range across Europe, the Near East and South Asia. Here we report 267 new U7 mitogenomes that – analysed alongside 100 published ones – enable us to discern at least two distinct temporal phases of dispersal, both of which most likely emanated from the Near East. The earlier one began prior to the Holocene (~11.5 thousand years ago) towards South Asia, while the later dispersal took place more recently towards Mediterranean Europe during the Neolithic (~8 thousand years ago). These findings imply that the carriers of haplogroup U7 spread to South Asia and Europe before the suggested Bronze Age expansion of Indo-European languages from the Pontic-Caspian Steppe region

Joint Observation of the Galactic Center with MAGIC and CTA-LST-1

MAGIC is a system of two Imaging Atmospheric Cherenkov Telescopes (IACTs), designed to detect very-high-energy gamma rays, and is operating in stereoscopic mode since 2009 at the Observatorio del Roque de Los Muchachos in La Palma, Spain. In 2018, the prototype IACT of the Large-Sized Telescope (LST-1) for the Cherenkov Telescope Array, a next-generation ground-based gamma-ray observatory, was inaugurated at the same site, at a distance of approximately 100 meters from the MAGIC telescopes. Using joint observations between MAGIC and LST-1, we developed a dedicated analysis pipeline and established the threefold telescope system via software, achieving the highest sensitivity in the northern hemisphere. Based on this enhanced performance, MAGIC and LST-1 have been jointly and regularly observing the Galactic Center, a region of paramount importance and complexity for IACTs. In particular, the gamma-ray emission from the dynamical center of the Milky Way is under debate. Although previous measurements suggested that a supermassive black hole Sagittarius A* plays a primary role, its radiation mechanism remains unclear, mainly due to limited angular resolution and sensitivity. The enhanced sensitivity in our novel approach is thus expected to provide new insights into the question. We here present the current status of the data analysis for the Galactic Center joint MAGIC and LST-1 observations

MAGIC and H.E.S.S. detect VHE gamma rays from the blazar OT081 for the first time: a deep multiwavelength study

https://pos.sissa.it/395/815/pdfPublished versio

Enabling Large-Scale Linear Systems of Equations on Hybrid HPC Infrastructures

International audienc