Montenegro, Budva, Becici, 25 September - 29 September 2017

Session

Plenary

25 Sept 2017, 10:00

Conference Hall (Montenegro, Budva, Becici)

Conveners

Plenary

• Vladimir Korenkov (JINR)

Plenary

• Tadeusz Kurtyka (CERN)

Plenary

• Markus Schulz

Plenary

• Alexei Klimentov (Brookhaven National Lab)

Plenary

• Alexei Klimentov (Brookhaven National Lab)

Plenary

• Patrick Fuhrmann (DESY)

Plenary

• Ivan Vankov (Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences)

Plenary

• Vladimir Korenkov (JINR)

234. Scientific Program of JINR

Dr Vadim Bednyakov (JINR)

25/09/2017, 10:00

235. Opening welcome from CERN

Dr Tadeusz Kurtyka (CERN)

25/09/2017, 10:30

223. Status and Future of WLCG

Dr Markus schulz (on behalf of WLCG)

25/09/2017, 11:00

Plenary

The LHC science program has utilized WLCG, a globally federated computing infrastructure, for the last 10 years to enable its ~10k scientists to publish more than 1000 physics publications in peer reviewed journals. This infrastructure has grown to provide ~750k cores, 400 PB disk space, 600 PB of archival storage, as well as high capacity networks to connect all of these. Taking 2016 as a...

236. JINR computing infrastructure

Dr Vladimir Korenkov (JINR)

25/09/2017, 12:00

177. The FabrIc for Frontier Experiments Project at Fermilab: Computing for Experiments

Dr Kenneth Herner (Fermi National Accelerator Laboratory)

25/09/2017, 12:30

Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)

Plenary

The FabrIc for Frontier Experiments (FIFE) project is a major initiative within the Fermilab Scientific Computing Division designed to steer the computing model for non-LHC experiments at Fermilab. The FIFE project enables close collaboration between experimenters and computing professionals to serve high-energy physics experiments of differing scope and physics area of study. The project...

210. GRID and Cloud Computing at IHEP in China

Dr Weidong Li (IHEP, Beijing)

25/09/2017, 14:30

Distributed Computing. GRID & Cloud Computing

Plenary

The distributed computing system at Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, was firstly built based on DIRAC in 2013 and put into production in 2014. This presentation will introduce the development and latest status of this system: the DIRAC-based WMS was extended to support multi-VO scheduling based on VOMS; the general-purpose task submission and management...

198. Approaching exascale for nuclear physics applications: diverse science requirements and energy constraints drive new paradigms in HPC

Dr Jack Wells (Oak Ridge National Laboratory)

25/09/2017, 15:00

Plenary

Over its many-decade history, nuclear and particle physics research has been a driver for advances in high-performance computing (HPC) and has come to view HPC as an essential scientific capability. Indeed, the dawn of the twenty-first century has witnessed the widespread adoption of HPC as an essential tool in the modeling and simulation of complex scientific phenomena. And today, in 2017,...

133. Experimental projects dedicated to the research of exotic nuclei in Dubna

Dr Sergey Sidorchuk (FLNR JINR)

25/09/2017, 15:30

Research Data Infrastructures

Plenary

The development of the experimental base of the Flerov Laboratory (JINR, Dubna) assumed for the forthcoming 7-year period includes two principal directions. The first one implies the study of physical and chemical properties of nuclei in the vicinity of the so called “Stability Island”. This activity will be developed mainly on the base of the Super Heavy Elements (SHE) Factory. The factory,...

152. The ATLAS Production System Evolution

Mr Mikhail Borodin (The University of Iowa (US))

25/09/2017, 16:20

Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)

Plenary

The second generation of the ATLAS Production System called ProdSys2 is a distributed workload manager that runs daily hundreds of thousands of jobs, from dozens of different ATLAS-specific workflows, across more than a hundred heterogeneous sites. It achieves high utilization by combining dynamic job definition based upon many criteria, such as input and output size, memory requirements and...

164. ATLAS Trigger and Data Acquisition Upgrade Plans for High Luminosity LHC

Sarah Demers (CERN)

25/09/2017, 16:50

Triggering, Data Acquisition, Control Systems

Plenary

By 2026 the High Luminosity LHC will be able to deliver to its experiments at CERN 14 TeV proton-proton collisions with an order of magnitude higher instantaneous luminosity than the original design, at the expected value of 7.5 × 10^34 cm−2s−1. The ATLAS experiment is planning a series of upgrades to prepare for this new and challenging environment, which will produce much higher data rates...

237. Niagara/Supermicro Innovation Technologies

NIAGARA COMPUTERS

25/09/2017, 17:20

238. Software-Defined Networks

Fedor PAVLOV

25/09/2017, 17:40

167. INDIGO-DataCloud: Quality of Service in storage

Dr Patrick Fuhrmann (DESY)

27/09/2017, 09:00

Distributed Computing. GRID & Cloud Computing

Plenary

When preparing the Data Management Plan for larger scientific endeavours, PI’s have to balance between the most appropriate qualities of storage space along the line of the planned data lifecycle, it’s price and the available funding. Storage properties can be the media type, implicitly determining access latency and durability of stored data, the number and locality of replicas, as well as...

166. High performance computing system in the framework of the Higgs boson studies

Mr Nikita Belyaev (NRC "Kurchatov Institute")

27/09/2017, 09:30

Distributed Computing. GRID & Cloud Computing

Plenary

The Higgs boson physics is one of the most important and promising fields of study in the modern high energy physics. It is important to notice, that GRID computing resources become strictly limited due to increasing amount of statistics, required for physics analyses and unprecedented LHC performance. One of the possibilities to address the shortfall of computing resources is the usage of...

242. DIRAC services for grid and cloud infrastructures

Dr Andrei Tsaregorodtsev (CPPM-IN2P3-CNRS)

27/09/2017, 10:00

209. ALFA:  ALICE-FAIR software framework

Dr Mohammad Al-Turany (GSI/CERN)

27/09/2017, 10:30

Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)

Plenary

ALFA is a message queue based framework for online/offline reconstruction. The commonalities between the ALICE and FAIR experiments and their computing requirements led to the development of this framework. Each process in ALFA assumes limited communication and reliance on other processes. Moreover, it does not dictate any application protocols but supports different serialization standards...

212. STAR's GRID Production Framework

Mr Levente Hajdu (BNL)

27/09/2017, 11:30

Plenary

STAR's RHIC computing facility provides over 15K dedicated slots for data reconstruction. However this number of slots is not always sufficient to satisfy an ambitious and data challenging Physics program and harvesting resources from outside facilities is paramount to scientific success. However, constraints of remote sites (CPU time limit) do not always always provide the...

201. Status of the project NICA at JINR

Dr Oleg Rogachevskiy (JINR)

27/09/2017, 12:00

Detector & Nuclear Electronics

Plenary

The study of the heavy ion collisions is of the great interest in high energy physics due to expected phase transition from the nucleons to the quark gluon plasma. But to have a full picture of the effect there is a lack of experimental data at low energy region for the nuclei-nucleus collisions. The goal of the NICA project at JINR is to cover the collision energy range from 2...

243. NICA Computing

Andrey Dolbilov (JINR)

27/09/2017, 12:30

249. ATLAS BigPanDA Monitoring

Tatiana Korchuganova (TPU)

27/09/2017, 12:50

Plenary

208. Modern SQL and NoSQL database technologies for the ATLAS experiment

Prof. Dario Barberis (University and INFN Genova (Italy))

28/09/2017, 09:00

Non-relational Databases and Heterogeneous Repositories

Sectional

Structured data storage technologies evolve very rapidly in the IT world. LHC experiments, and ATLAS in particular, try to select and use these technologies balancing the performance for a given set of use cases with the availability, ease of use and of getting support, and stability of the product. We definitely and definitively moved from the “one fits all” (or “all has to fit into one”)...

150. The Trigger Readout Electronics for the Phase-1 Upgrade of the ATLAS Liquid-Argon Calorimeters

Mr Robert Wolff (CPPM, Aix-Marseille Université, CNRS/IN2P3 (FR))

28/09/2017, 09:30

Plenary

The upgrade of the Large Hadron Collider (LHC) scheduled for the shut-down period of 2018-2019 (Phase-I upgrade), will increase the instantaneous luminosity to about three times the design value. Since the current ATLAS trigger system does not allow a corresponding increase of the trigger rate, an improvement of the trigger system is required. The new trigger signals from the ATLAS Liquid...

151. The Phase-II upgrade of ATLAS Calorimeter

Francesco Tartarelli (Università degli Studi e INFN Milano)

28/09/2017, 10:00

Detector & Nuclear Electronics

Plenary

This presentation will show the status of the upgrade projects of the ATLAS calorimeter system for the high luminosity phase of the LHC (HL-LHC). For the HL-LHC, the instantaneous luminosity is expected to increase up to L ≃ 7.5 × 10^{34} cm^{−2} s^{−1} and the average pile-up up to 200 interactions per bunch crossing. The Liquid Argon (LAr) calorimeter electronics will need to be replaced...

163. The ATLAS Data Acquisition System in LHC Run 2

Mr Mikel Eukeni Pozo Astigarraga (CERN)

28/09/2017, 10:30

Triggering, Data Acquisition, Control Systems

Plenary

The LHC has been providing proton-proton collisions with record intensity and energy since the start of Run 2 in 2015. In the ATLAS experiment the Data Acquisition is responsible for the transport and storage of the more complex event data at higher rates that the new collision environment implies. Data from events selected by the first level hardware trigger are subject to further filtration...

196. Novel approach to the particle track reconstruction based on deep learning methods

Prof. Gennady Ososkov (Joint Institute for Nuclear Research)

29/09/2017, 10:00

Machine Learning Algorithms and Big Data Analytics

Sectional

A fundamental problem of data processing for high energy and nuclear physics (HENP) experiments is the event reconstruction. The main part of it is finding tracks among a great number of so-called hits produced on sequential co-ordinate planes of tracking detectors. The track recognition problem consists in joining these hits into clusters, each of them joins all hits belonging to the same...

200. Predictive analytics as an essential mechanism for situational awareness at the ATLAS Production System

Mr Mikhail Titov (National Research Centre «Kurchatov Institute»)

29/09/2017, 10:20

Machine Learning Algorithms and Big Data Analytics

Sectional

The workflow management process should be under the control of the certain service that is able to forecast the processing time dynamically according to the status of the processing environment and workflow itself, and to react immediately on any abnormal behaviour of the execution process. Such situational awareness analytic service would provide the possibility to monitor the execution...

205. IT for Applied Environmental Research in JINR

Mr Petr Jancik (JINR; VSB - Technical University of Ostrava)

29/09/2017, 10:40

Machine Learning Algorithms and Big Data Analytics

Sectional

The IT in the nuclear research has been focused mainly on mathematical modelling of the nuclear phenomena and on big data analyses. The applied nuclear sciences used for the environmental research brings in a different set of problems where information technologies may significantly improve the research. The ICP Vegetation is an international research program investigating the impacts of air...