the proceedings contain 96 papers. the topics discussed include: using deep learning in ultra-high energy cosmic ray experiments;numerical multi-loop integration on heterogeneous many-core processors;Monte Carlo phase...
the proceedings contain 96 papers. the topics discussed include: using deep learning in ultra-high energy cosmic ray experiments;numerical multi-loop integration on heterogeneous many-core processors;Monte Carlo phase space integration for initial state radiation;in situ analysis and visualization of massively parallel simulations of transitional and turbulent flows;modeling conditional probabilities with Riemann-theta Boltzmann machines;numerical calculation of 5-loop QED contributions to the electron anomalous magnetic moment;QED and electroweak radiative corrections to polarized Bhabha scattering;towards an efficient method to compute two-loop scalar amplitudes;decoding the nature of dark matter at current and future experiments;and CutLang: A cut-based HEP analysis description language and runtime interpreter.
the proceedings contain 156 papers. the topics discussed include: outlook on software framework in low and intermediate energy nuclear physics;anomaly detection of I/O behaviors in HEP computing cluster based on unsup...
the proceedings contain 156 papers. the topics discussed include: outlook on software framework in low and intermediate energy nuclear physics;anomaly detection of I/O behaviors in HEP computing cluster based on unsupervised machine learning;blaze: a high performance big data computing system for high energy physics;CernVM-FS ephemeral publishers on Kubernetes;configuration information system for online processing and data monitoring in the NICA experiments;data handling optimization in Russian data lake prototype;deployment of high energy physics software with a standard method;Detray: a compile time polymorphic tracking geometry description;development of the automatic procedures for spinor matrix element calculation with massive particles;distributed file systems performance tests on Kubernetes/docker clusters;evaluating awkward arrays, uproot, and coffea as a query platform for high energy physics data;and evaluation and implementation of various persistent storage options for CMSWEB services in Kubernetes infrastructure at CERN.
the proceedings contain 66 papers. the topics discussed include: performance quality monitoring system for the daya bay reactor neutrino experiment;a concurrent vector-based steering framework for particle transport;e...
the proceedings contain 66 papers. the topics discussed include: performance quality monitoring system for the daya bay reactor neutrino experiment;a concurrent vector-based steering framework for particle transport;experience, use, and performance measurement of the hadoop file system in a typical nuclear physicsanalysis workflow;GPUS for real-time processing in HEP trigger systems;initial explorations of ARM processors for scientific computing;managing a tier-2 computer center with a private cloud infrastructure;study of cache performance in distributed environment for data processing;a web-based development environment for collaborative data analysis;maximum likelihood reconstruction for the daya bay experiment;and data analysis of tracks of heavy ion particles in timepix detector.
the proceedings contain 82 papers. the topics discussed include: massive affordable computing using ARM processors in high energy physics;the massive affordable computing project: prototyping of a high data throughput...
the proceedings contain 82 papers. the topics discussed include: massive affordable computing using ARM processors in high energy physics;the massive affordable computing project: prototyping of a high data throughput processing unit;the error reporting in the ATLAS TDAQ system;data-flow performance optimization on unreliable networks: the ATLAS data-acquisition case;intelligent operations of the data acquisition system of the ATLAS experiment at LHC;a development of an accelerator board dedicated for multi-precision arithmetic operations and its application to Feynman loop integrals;multilevel workflow system in the ATLAS experiment;monitoring of IaaS and scientific applications on the cloud using the Elasticsearch ecosystem;tier 3 batch system data locality via managed caches;Gaudi components for concurrency: concurrency for existing and future experiments;and towards a high performance geometry library for particle-detector simulations.
the proceedings contain 64 papers. the topics discussed include: the AAL project: automated monitoring and intelligent analysis for the ATLAS data taking infrastructure;a persistent back-end for the ATLAS TDAQ online ...
the proceedings contain 64 papers. the topics discussed include: the AAL project: automated monitoring and intelligent analysis for the ATLAS data taking infrastructure;a persistent back-end for the ATLAS TDAQ online information service (P-BEAST);online measurement of LHC beam parameters withthe ATLAS high level trigger;the ADAM project: a generic web interface for retrieval and display of ATLAS TDAQ information;advances in service and operations for ATLAS data management;development of noSQL data storage for the ATLAS PanDA monitoring system;LHCb distributed computing operations;advances in service and operations for ATLAS data management;automated quality monitoring and validation of the CMS reconstruction software;integrating Amazon EC2 withthe CMS production framework;the LHCb DIRAC-based production and data management operations systems;and offloading peak processing to virtual farm by STAR experiment at RHIC.
this volume of Journal of physics: Conference Series is dedicated to scientific contributions presented at the 14thinternationalworkshop on advancedcomputing and analysistechniques in physicsresearch (ACAT 2011) ...
this volume of Journal of physics: Conference Series is dedicated to scientific contributions presented at the 14thinternationalworkshop on advancedcomputing and analysistechniques in physicsresearch (ACAT 2011) which took place on 5–7 September 2011 at Brunel University, UK.
the workshop series, which began in 1990 in Lyon, France, brings together computer science researchers and practitioners, and researchers from particle physics and related fields in order to explore and confront the boundaries of computing and of automatic data analysis and theoretical calculation techniques. It is a forum for the exchange of ideas among the fields, exploring and promoting cutting-edge computing, data analysis and theoretical calculation techniques in fundamental physicsresearch.
this year's edition of the workshop brought together over 100 participants from all over the world. 14 invited speakers presented key topics on computing ecosystems, cloud computing, multivariate data analysis, symbolic and automatic theoretical calculations as well as computing and data analysis challenges in astrophysics, bioinformatics and musicology. Over 80 other talks and posters presented state-of-the art developments in the areas of the workshop's three tracks: computing Technologies, Data analysis Algorithms and Tools, and Computational techniques in theoretical physics. Panel and round table discussions on data management and multivariate data analysis uncovered new ideas and collaboration opportunities in the respective areas.
this edition of ACAT was generously sponsored by the Science and Technology Facility Council (STFC), the Institute for Particle physics Phenomenology (IPPP) at Durham University, Brookhaven National Laboratory in the USA and Dell.
We would like to thank all the participants of the workshop for the high level of their scientific contributions and for the enthusiastic participation in all its activities which were, ultimately, the key factors in the succe
Abstractthis volume of the IOP Conference Series is dedicated to scientific contributions presented at the 18thinternationalworkshop on advancedcomputing and analysistechniques in physicsresearch (ACAT 2017). Eac...
Abstract
this volume of the IOP Conference Series is dedicated to scientific contributions presented at the 18thinternationalworkshop on advancedcomputing and analysistechniques in physicsresearch (ACAT 2017). Each year ACAT has a motto, and this year the motto was “AI Reloaded”. the conference took place on the week of August 21-25, 2017, at University of Washington in Seattle, Washington, USA.
the 18th edition of ACAT brought people together from the many different fields of the physics and computingresearch. Topics ranging from automated loop-integral calculations, the cutting edge of machine learning in particle physics and applications of machine learning to infrastructure, to novel tools used to aid in these accomplishments were presented. Side meetings and collaborations were also hosted looking forward to computing in particle physics into the late 2020’s.
this edition of the workshop brought together more than 190 participants from all areas of the world. there were 23 invited speakers covering important topics on advancedcomputing and analysistechniques. there were two panel discussions, one on machine learning and the other on diversity. Finally, there was also a viewing of the 2017 solar eclipse. there were 95 parallel session presentations and more than 60 posters. the posters and parallel sessions were presented in three tracks: computing Technology for physicsresearch, Data analysis - Algorithms and Tools, and Computations in theoretical physics: techniques and Methods. ACAT 2017 thanks nVidia and the University of Washington for its support.
Special thanks go to the track liaisons: Niko Neufeld, Sergei Gleyzer, and Ayres Freitas, along withthe track co-conveners: Graeme Stewart, Mira Girone, Shih-Chieh Hsu, Gregory Golovanov, Toby Burnett, Stephen Jones, and Fukuko Yuasa. their work on the scientific program and the publication preparation was invaluable. the local organizers would also like to thank ACAT’s international Advisory Committee
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