A5056304641- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Parallel Computing and Optimization Techniques
- Scientific Computing and Data Management
- Astronomical Observations and Instrumentation
- Astronomy and Astrophysical Research
- Cloud Computing and Resource Management
- Advanced Computational Techniques and Applications
- Environmental Monitoring and Data Management
- Stellar, planetary, and galactic studies
- Advanced Database Systems and Queries
- Library Science and Information Systems
- Scientific Research and Discoveries
- Service-Oriented Architecture and Web Services
- Research Data Management Practices
- Adaptive optics and wavefront sensing
- Magnetic confinement fusion research
- Particle accelerators and beam dynamics
- Spacecraft Design and Technology
- Advanced Electrical Measurement Techniques
- Mathematics, Computing, and Information Processing
- Economic and Technological Developments in Russia
- Atomic and Subatomic Physics Research
- Digital Rights Management and Security
- Calibration and Measurement Techniques
National Institute for Astrophysics
2018-2023
Trieste Astronomical Observatory
2018-2022
Istituto Nazionale di Fisica Nucleare, Sezione di Padova
2008-2015
Istituto Nazionale di Fisica Nucleare
2009
INAF Trieste Astronomical Observatory (OATs) has a long tradition in information technology applied to and Astrophysical use cases, particularly for what regards computing data reduction, analysis simulations; archives management; space missions processing; design software development ground-based instruments. The ensemble of these activities, the last years, pushed need acquire new resources technologies deep competences theirs management. In this paper we describe INAF-OATs centre...
Modern Grid middleware is built around components providing basic functionality, such as data storage, authentication, security, job management, resource monitoring and reservation. In this paper we describe the Computing Resource Execution Management (CREAM) service. CREAM provides a Web service-based execution management capability for systems; in particular, it being used within gLite middleware. exposes service interface allowing conforming clients to submit manage computational jobs...
New challenges in Astronomy and Astrophysics (AA) are urging the need for many exceptionally computationally intensive simulations. “Exascale” (and beyond) computational facilities mandatory to address size of theoretical problems data coming from new generation observational AA. Currently, High-Performance Computing (HPC) sector is undergoing a profound phase innovation, which primary challenge achievement power consumption. The goal this work give some insights about performance energy...
The CREAM CE implements a Grid job management service available to end users and other higher level submission services. It allows the submission, monitoring of computational jobs local resource systems. CREAM, which is part gLite middleware, in EGI production where it used by several user communities different scenarios. In this paper, after quick description architecture functionality, we report on status service, focusing results, feedback issues that had be addressed. We also discuss...
While in the business world cloud paradigm is typically implemented purchasing resources and services from third party providers (e.g. Amazon), scientific environment there's usually need of on-premises IaaS infrastructures which allow efficient usage hardware distributed among (and owned by) different administrative domains. In addition, requirement open source adoption has led to choice products like OpenStack by many organizations.
ESO is in the process of upgrading one two FORS (FOcal Reducer/low dispersion Spectrograph) instruments - a multi-mode (imaging, polarimetry, long-slit, and multi-object spectroscopy) optical instrument mounted on Cassegrain focus Unit Telescope 1 ESO's Very Large Telescope. FORS1 was moved from Chile to Trieste, undergoing complete refurbishment, including exchange all motorised parts. In addition, new software developed, based Extremely Instrument Control Software Framework, as upgraded...
In this paper we describe the use of CREAM and CEMonitor services for job submission management within gLite Grid middleware. Both address one most fundamental operations a middleware, that is management. Specifically, service used submitting, managing monitoring computational jobs. an event notification framework, which can be coupled with to provide users asynchronous status change notifications. components have been integrated in Workload Management System by means ICE (Interface...
The increasing amount of data produced in Astronomy by observational studies and the size theoretical problems to be tackled next future pushes need HPC (High Performance Computing) resources towards "Exascale". sector is undergoing a profound phase transition, which one toughest challenges cope with energy efficiency that main blocking factors achievement Since ideal peak-performance unlikely achieved realistic scenarios, aim this work give some insights about consumption contemporary...
The European Open Science Cloud (EOSC) is in its early stages, but already some aspects of the EOSC vision are starting to become reality, for example portal and development metadata catalogues. In astrophysical domain exists an open approach science data: Virtual Observatory view put place by International Alliance (IVOA) architecture standards. ESCAPE (European Cluster Astronomy & Particle physics ESFRI research infrastructures) project has, among tasks, demonstrate that VO can be...
The High Throughput Computing paradigm typically involves a scenario whereby given, estimated processing power is made available and sustained by the computing environment over medium/long period of time. As consequence, performance goals are in general targeted at maximizing resource utilization to obtain expected throughput, rather than minimizing run time for individual jobs. This does not mean that optimal selection through adequate workload management desired nor effective, nonetheless,...
The EU-funded project EMI aims at providing a unified, standardized, easy to install software for distributed computing infrastructures. CREAM is one of the middleware products part distribution: it implements Grid job management service which allows submission, and monitoring computational jobs local resource systems. In this paper we discuss about some new features being implemented in Computing Element. implementation Execution Service (EMI-ES) specification (an agreement consortium on...
A joint project between the Canadian Astronomy Data Center of National Research Council Canada, and italian Istituto Nazionale di Astrofisica-Osservatorio Astronomico Trieste (INAF-OATs), partially funded by EGI-Engage H2020 European Project, is devoted to deploy an integrated infrastructure, based on International Virtual Observatory Alliance (IVOA) standards, access exploit astronomical data. Currently CADC-CANFAR provides scientists with access, storage computation facility, software...
The ExaNeSt and EuroExa H2020 EU-funded projects aim to design develop an exascale ready computing platform prototype based on low-energy-consumption ARM64 cores FPGA accelerators. We participate in the application-driven of hardware solutions validation. To carry this work we are using, among others, Hy-Nbody, a state-of-the-art direct N-body code. Core algorithms Hy-Nbody have been improved such way increasingly fit them target platform. Waiting for ExaNest release, performing tests code...