ACAT 2017

Speaker List

• Antonio Augusto Alves Junior (University of Cincinnati (US))
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    Hydra: A framework for data analysis in massively parallel platforms

• Guilherme Amadio (CERN)
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    Increasing Parallelism in the ROOT I/O subsystem

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    Novel functional and distributed approaches to data analysis available in ROOT

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    Speeding up experiments software with VecCore, a portable SIMD library

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    Speeding up Software with VECCORE, a portable SIMD library

• Michael Andrews (Carnegie-Mellon University (US))
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    Exploring end-to-end deep learning solutions for event classification at CMS

• Justas Balcas (California Institute of Technology (US))
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    Data Transfer Node Resource Manager

• Deborah BARD (LBL)
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    HPC for HEP

• Adam Edward Barton (Lancaster University (GB))
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    Multithreading in the ATLAS High-Level Trigger

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    The ATLAS Trigger Simulation with Legacy Software

• Kevin Thomas Bauer (University of California Irvine (US))
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    FELIX: the new detector readout system for the ATLAS experiment

• Alexandre Beche (Ecole polytechnique fédérale de Lausanne (CH))
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    Supercomputers, Clouds and Grids powered by BigPanDA for Brain studies

• Frank Berghaus (University of Victoria (CA))
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    Federating distributed storage for clouds in ATLAS

• Pushpalatha Bhat (Fermi National Accelerator Lab. (US))
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    Round Table on Machine Learning

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    Summary of the Conference

• Wahid Bhimji (Lawrence Berkeley National Lab. (US))
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    Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

• Sebastien Binet (IN2P3/LPC)
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    Go-HEP: writing concurrent software with ease and Go

• Serguei Bityukov (Institute for High Energy Physics (RU))
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    On the notion "significance of the difference"

• Jakob Blomer (CERN)
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    A quantitative review of data formats for HEP analyses

• Brian Paul Bockelman (University of Nebraska-Lincoln (US))
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    Optimizing ROOT I/O for Analysis

• Pascal Boeschoten (Ministere des affaires etrangeres et europeennes (FR))
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    The ALICE O2 common driver for the C-RORC and CRU readout cards

• Petr Bouř (FNSPE CTU Prague)
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    Computer simulation on homogeneity testing for weighted data sets used in HEP

• Erica Brondolin (Austrian Academy of Sciences (AT))
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    Track seeding in the Outer Tracker of CMS for HL-LHC

• Simone Campana (CERN)
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    An ATLAS distributed computing architecture for HL-LHC

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    The ATLAS Data Management System Rucio: Supporting LHC Run-2 and beyond

• Andrea Capra (York University (CA))
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    Machine Learning for Antihydrogen Detection at ALPHA

• Andrew Mathew Carnes (University of Florida (US))
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    Boosted Decision Trees in the Level 1 Muon Endcap Trigger at CMS

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    BDTs in the Level 1 Muon Endcap Trigger at CMS

• Stefano Carrazza (CERN)
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    ML in theoretical physics: from PDFs to MC tools

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    NNPDF: Neural Networks for precision PDF determinations

• Yaodong Cheng (Chinese Academy of Sciences (CN))
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    Design and implementation of data cache and access system across remote sites

• Yaodong CHENG (IHEP, Beijing)
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    Design and implementation of data cache and access system across remote sites

• Kartik Chitturi (University of Texas (US))
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    How easily can neural networks learn relativity?

• Aaron Cholden-Brown (Penn State University)
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    Improving Science Yield for NASA Swift with Automated Planning Technologies.

• Tommaso Colombo (CERN)
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    An Online system based (almost exclusively) on off-the-shelf hardware for a trigger-free read-out of the LHCb experiment

• Kyle Stuart Cranmer (New York University (US))
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    Deep Learning and Particle Physics

• Tao Cui (IHEP(Institute of High Energy Physics, CAS,China))
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    a loosely coupled scalable cloud infrastructure

• Hiroshi DAISAKA (Hitotsubashi University)
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    A development of an accelerator board dedicated for multi-precision arithmetic operations and its application to Feynman loop integrals II

• Andrei Davydychev
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    Four-point function in general kinematics through geometrical splitting and reduction

• Elise de Doncker (Western Michigan University)
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    High-speed evaluation of loop integrals using lattice rules

• Luke Percival De Oliveira
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    Generative Adversarial Networks for Simulation

• Lucio Dery (Stanford)
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    Weakly Supervised Classifiers in High Energy Physics

• Philipp Eller (Penn State University)
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    High Statistics and GPU Accerated Data Analysis in ICECUBE

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    High-statistics and GPU-accelerated data analysis in IceCube

• Edgar Fajardo Hernandez (Univ. of California San Diego (US))
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    A federated Xrootd cache

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    Testing the limits of an LVS - GridFTP Cluster as a replacement for Bestman

• Enrico Fattibene (INFN - National Institute for Nuclear Physics)
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    Dynamic sharing of tape drives accessing scientific data

• Robert Fischer (Rheinisch-Westfaelische Tech. Hoch. (DE))
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    Design and Execution of make-like Distributed Analyses

• Ian Fisk (Fermi National Accelerator Lab. (US))
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    Round-Table: Using heterogeneous resources for HEP computing

• Kevin Fox (PNNL)
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    Virtualization of the PNNL High Energy Physics Computing Infrastructure

• Ayres Freitas (University of Pittsburgh)
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    Numerical techniques for 2- and 3-loop integrals

• Ayres Freitas (University of Zurich)
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    Summary of Track 3

• Rudolf Fruhwirth (Austrian Academy of Sciences (AT))
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    Robust circle reconstruction by a modified Riemann fit

• Anton Josef Gamel (Albert-Ludwigs-Universitaet Freiburg (DE))
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    Virtualization of the ATLAS software environment on a shared HPC system

• Andrei Gheata (CERN)
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    GeantV apha-release preview

• Tom Gibbs (NVIDIA Corporation)
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    Machine Learning at NVIDIA

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    Round-Table: Using heterogeneous resources for HEP computing

• Tom Gibbs (NVIDIA)
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    Machine Learning at NVIDIA

• Walter Giele
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    Development and optimization of the MCFM generator

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    Round table discussion: Analytical vs. numerical methods for NNLO+ computations for LHC

• Maria Girone (CERN)
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    Round Table on Diversity

• Maciej Szymon Gladki (Ministere des affaires etrangeres et europeennes (FR))
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    DAQExpert - An expert system to increase CMS data-taking efficiency

• Sergei Gleyzer (University of Florida (US))
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    Machine Learning in HEP

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    Summary of Track 2

• Heather Gray (LBNL)
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    Track reconstruction algorithms in high pile up environments

• Oliver Gutsche (Fermi National Accelerator Lab. (US))
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    CMS Analysis and Data Reduction with Apache Spark

• Thomas Hahn (MPI f. Physik)
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    Loopedia, a Database for Loop Integrals

• Jeff Hammond (Intel)
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    Round-Table: Using heterogeneous resources for HEP computing

• Nikola Hardi (University of Novi Sad (RS))
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    Making Containers Lazy With Docker and CernVM-FS

• Blayne Heckel (University of Washington)
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    Welcome from the Department of Physics Chair

• Christoph Heidecker (KIT - Karlsruhe Institute of Technology (DE))
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    Opportunistic data locality for HEP analysis workflows

• Lukas Alexander Heinrich (New York University (US))
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    Analysis Preservation and Systematic Reinterpretation within the ATLAS Experiment

• Mike Hildreth (University of Notre Dame (US))
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    Data, Software, and Knowledge Preservation of Scientific Results

• Julius Hrivnac (Universite de Paris-Sud 11 (FR))
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    The ATLAS Event Index: The Architecture of the Core Engine

• Shih-Chieh Hsu (University of Washington Seattle (US))
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    Summary of Track 1

• Shuhui Huang (Sun Yat-sen University)
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    Update of BESIII Event Display System

• Carlos Inostroza
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    A Java library to perform S-expansions of Lie algebras

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    Algorithm to find S-related Lie algebras

• Thomas Janson
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    Massive Parallel Lattice QCD Computing on FPGA Accelerator with Data-Flow Programming

• Stephen Jones (MPI, Munich)
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    Round table discussion: Analytical vs. numerical methods for NNLO+ computations for LHC

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    Numerical Methods and the 4-point 2-loop Higgs amplitudes

• Samuel David Jones (University of Sussex (GB))
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    The ATLAS Electron and Photon Trigger

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    The ATLAS Electron and Photon Trigger

• Roger Jones (Lancaster University (GB))
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    Networking requirements for Tier 2 sites

• Soon Yung Jun (Fermi National Accelerator Lab. (US))
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    A Toolkit to Study Sensitivity of the Geant4 Predictions to the Variations of the Physics Model Parameters

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    Parallel Random Number Generation for SIMD/SIMT

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    GQLink: an implementation of Quantized State System (QSS) methods in Geant4

• Jakub Kandra (Charles University in Prague)
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    Alignment and Calibration Framework for the Belle II detector

• Kiyoshi Kato (Kogakuin University)
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    Round table discussion: Analytical vs. numerical methods for NNLO+ computations for LHC

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    Direct numerical computation and its application to the higher-order radiative corrections

• Daniel S. Katz (University of Illinois)
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    Software Citations

• Andrei Kazarov (Petersburg Nuclear Physics Institut (RU))
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    Experience with SPLUNK for archiving and visualization of operational data in ATLAS TDAQ system

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    Test Management Framework for the Data Acquisition of the ATLAS Experiment

• Kim Siang Khaw (University of Washington)
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    Muon g-2 reconstruction and analysis framework

• Doris Yangsoo Kim (Soongsil University)
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    The Simulation Library of the Belle II Software

• Andreas Kronfeld (Fermilab)
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    Physics and Computing Challenges in Lattice QCD

• David Lange (Princeton University (US))
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    Round-Table: Using heterogeneous resources for HEP computing

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    Building a scalable python distribution for HEP data analysis

• George Langford (Syracuse University)
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    Why Cultural Diversity Matters: Becoming Culturally competent

• Stefano Laporta (Dipartimento di Fisica, Universita di Bologna)
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    New results on the g-2 calculation

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    High-precision calculation of the 4-loop contribution to the electron g-2 in QED

• Jerome LAURET (Brookhaven National Laboratory)
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    Round Table on Diversity

• Paul James Laycock (CERN)
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    A Conditions Data Management System for HEP Experiments

• Rui Li (Sun Yat-sen University)
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    Solving the Signal-Versus-Background Classification Problem Using Neural Network

• Tao Lin (IHEP)
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    Parallelized JUNO simulation software based on SNiPER

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    Parllized JUNO simulation software based on SNIPER

• Xiaohui Liu
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    N-jettiness subtraction

• Daniel Lo (Microsoft research)
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    Round-Table: Using heterogeneous resources for HEP computing

• Daniel Maitre
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    NNLO ntuples

• Igor Mandrichenko (FNAL)
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    Striped Data Server for Scalable Parallel Data Analysis

• Igor Vasilyevich Mandrichenko
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    Striped Data Server for Scalable Parallel Data Analysis

• Ruslan Mashinistov (Russian Academy of Sciences (RU))
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    Global heterogeneous resource harvesting: the next-generation PanDA pilot for ATLAS

• Rosen Matev (CERN)
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    The upgrade of the LHCb trigger for Run III

• Marco Meoni (INFN Sezione di Pisa, Universita' e Scuola Normale Superiore, P)
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    Exploiting Apache Spark platform for CMS computing analytics

• Eric Metodiev (MIT)
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    Learning to Remove Pileup at the LHC with Jet Images

• Sean Murray (University of Cape Town (ZA))
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    CODE-RADE a user centric software delivery system for science

• Ben Nachman (Lawrence Berkeley National Lab. (US))
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    Deep Learning usage by large experiments

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    Survey of how DL is used in a large experiment

• Axel Naumann (CERN)
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    ROOT at the center of the future analysis ecosystem

• Niko Neufeld (CERN)
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    Cross-architecture Kalman filter benchmarks on modern hardware platforms

• Tatsumi Nitta (Waseda University (JP))
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    Identification of Hadronically Decaying W Bosons and Top Quarks using Multivariate Techniques at ATLAS

• Igor Oya (DESY Zeuthen)
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    Designing and prototyping the control system for the Cherenkov Telescope Array

• Siarhei Padolski (BNL)
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    Data Knowledge Base for HENP Scientific Collaborations

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    ATLAS BigPanDA Monitoring

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    Predictive analytics tools to adjust and monitor performance metrics for the ATLAS Production System

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    Present and future of PanDA WMS integration with Titan supercomputer at OLCF

• Michela Paganini (Yale University (US))
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    Machine Learning Algorithms for b-jet tagging at the ATLAS experiment

• Ravi Panchumarthy (Intel Corporation)
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    Deep Learning on the Intel Nervana platform

• Felice Pantaleo (CERN)
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    Use of GPUs at the CMS High-Level Trigger during Phase-1

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    Convolutional Neural Network for Track Seed Filtering at the CMS HLT

• Hiren Patel (UMass Amherst)
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    Calculation of One Loop Integrals with Package-X and CollierLink

• Mariel Pettee (Yale University (US))
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    Performance of the ATLAS Tau Trigger in Run 2

• Jim Pivarski (Princeton University)
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    Toward real-time data query systems in HEP

• Michael Poat (Brookhaven National Laboratory)
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    Enabling High Availability Service with oVirt Virtualization and CephFS

• Alexis Pompili (Universita e INFN, Bari (IT))
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    Performance studies of GooFit on GPUs versus RooFit on CPUs while estimating the global statistical significance of a new physical signal

• Luca Pontisso (Sapienza Universita e INFN, Roma I (IT))
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    Real-time heterogeneous stream processing with NaNet in the NA62 experiment.

• Fernanda Psihas (Indiana University)
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    Event Reconstruction on NOvA and DUNE with Deep Convolutional Networks

• Andrew Putnam (Microsoft Corporation)
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    FPGA Datacenters -- The New Supercomputer

• Fedor Ratnikov (Yandex School of Data Analysis (RU))
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    Machine Learning based global particle identification algorithms at LHCb experiment

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    Machine Learning Photons Separation in the LHCb Calorimeter

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    Deep Learning Method for Inferring Cause of Data Anomalies

• Fedor Ratnikov
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    Machine Learning based global particle identification algorithms at LHCb experiment

• Pier Paolo Ricci (INFN CNAF)
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    Last developments of the INFN CNAF Long Term Data Preservation (LTDP) project: the CDF data recover and safekeeping

• Daniel Sherman Riley (Cornell University (US))
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    Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Architectures

• Elmar Ritsch (CERN)
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    Modernising ATLAS Software Build Infrastructure

• Martin Ritter
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    Belle II Conditions Database Interface

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    Belle II Conditions Database Overview

• Stefan Roiser (CERN)
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    The LHCb Software and Computing Upgrade towards LHC Run 3

• Gareth Douglas Roy (University of Glasgow (GB))
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    A container model for resource provision at a WLCG Tier-2

• Gareth Roy (University of Glasgow)
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    Round-Table: Using heterogeneous resources for HEP computing

• Ben Ruijl (Nikhef)
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    Games and loop integrals

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    The R* operation and combinatorial challenges at five loops

• Renat Sadykov (Joint Institute for Nuclear Research (RU))
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    Complete one-loop electroweak radiative corrections to polarized Bhabha scattering in SANC

• Jana Schaarschmidt (University of Washington (US))
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    The new ATLAS Fast Calorimeter Simulation

• Matthias Jochen Schnepf (KIT - Karlsruhe Institute of Technology (DE))
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    Mastering Opportunistic Computing Resources for HEP

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    Mastering Opportunistic Computing Resources for HEP

• Malachi Schram (Pacific Northwest National Laboratory)
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    The management of heterogeneous resources in Belle II

• Malachi Schram (McGill University)
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    The management of heterogeneous resources in Belle II

• Malachi Schram
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    Application of deep learning to the analysis for B -> K* Gamma in Belle II

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    The management of heterogeneous resources in Belle II

• Henry Fredrick Schreiner (University of Cincinnati (US))
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    GooFit 2.0

• Elizabeth Sexton-Kennedy (Fermi National Accelerator Lab. (US))
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    HEP Software Development in the next decade; the views of the HSF community

• Sebastian Skambraks (Technische Universität München)
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    Background Suppression with the Belle II Neural Network Trigger

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    Background Suppression with the Belle II Neural Network Trigger

• Marcin Slodkowski (Warsaw University of Technology (PL))
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    Modeling of modifications induced by jets in the relativistic bulk nuclear matter

• Geoffrey Nathan Smith (University of Notre Dame (US))
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    Tools for Trigger Rate Monitoring at CMS

• Michael David Sokoloff (University of Cincinnati (US))
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    Real-time alignment and reconstruction: performance and recent developments at the LHCb experiment

• Dominik Steinschaden (Stefan Meyer Institute)
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    Event reconstruction and simulation in PandaRoot for the PANDA experiment

• Markus Stoye (CERN)
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    Deep-learning in jet reconstruction at CMS

• Herb Sutter (Microsoft Corporation)
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    Meta: Toward generative C++

• Mikhail Titov (National Research Centre Kurchatov Institute (RU))
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    A study on the applicability of Recommender Systems for the Production and Distributed Analysis system PanDA of the ATLAS Experiment

• Aristeidis Tsaris (Fermilab)
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    The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking

• Vakho Tsulaia (Lawrence Berkeley National Lab. (US))
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    Leveraging the checkpoint-restart technique for optimizing CPU efficiency of ATLAS production applications on opportunistic platforms

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    Shared I/O components for the ATLAS multi-processing framework

• Takahiro Ueda (KEK)
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    New developments in FORM

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    Round table discussion: Analytical vs. numerical methods for NNLO+ computations for LHC

• Martin Urban (RWTH Aachen University)
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    The VISPA Internet-Platform in Deep Learning Applications

• Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
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    Gradient reversal for MC/real data calibration

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    Machine-Learning techniques for electro-magnetic showers identification in OPERA datasets

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    Modeling detector digitization and read-out with adversarial networks

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    Speeding up prediction performance of the boosting decision trees-based learning models.

• Sofia Vallecorsa (Gangneung-Wonju National University (KR))
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    Generative models for fast simulation

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    Invited parallel: A Machine Learning tool for fast simulation in GeantV

• Xavier Valls Pla (University Jaume I (ES))
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    Paralleization and vectorization of ROOT fitting classes

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    Parallelisation and Vectorisation of ROOT Fitting classes

• Jacob Vanderplas (University of Washington eScience Institute)
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    Statistics, Data Mining, and Machine Learning in Astronomy

• Ricardo Vilalta (University of Houston)
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    Transfer Learning in Astronomy: A New Machine Learning Paradigm

• Marcelo Vogel (Bergische Universitaet Wuppertal (DE))
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    Using containers with ATLAS offline software

• Valentin Volkl (University of Innsbruck (AT))
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    Applications of A-Common-Tracking-Software (ACTS) in the Future Circular Collider Design Study

• Ilija Vukotic (University of Chicago (US))
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    A modern approach to HEP visualization - ATLASrift

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    A scalable new mechanism to store and serve the ATLAS detector description through a REST web API

• Lu Wang (Computing Center,Institute of High Energy Physics, CAS)
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    Muon reconstruction of JUNO experiment with convolutional neural networks

• Lu Wang (Chinese Academy of Sciences (CN))
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    Muon reconstruction of JUNO experiment with convolutional neural networks

• Andrew John Washbrook (University of Edinburgh (GB))
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    Continuous software quality analysis for the ATLAS experiment

• Gordon Watts (University of Washington (US))
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    Awards!

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    Final remarks

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    Welcome To ACAT 20171

• Nikola Lazar Whallon (University of Washington (US))
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    Upgrade of the YARR DAQ system for the ATLAS Phase-II Pixel detector readout chip

• Daniel Whiteson (University of California Irvine (US))
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    Deep Learning in Particle physics

• Kevin Wierman (Pacific Northwest National Laboratory)
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    Convolution Neural networks in nucleon Decay Searches in Liquid Argon time projection Chambers

• Colin Williams (DWave Systems)
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    D-wave Quantum Computing

• Lynn Wood (Pacific Northwest National Laboratory, USA)
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    Implementing the Belle II Conditions Database using Industry-Standard Tools

• Katherine Woodruff
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    Automated proton track identification in MicroBooNE using gradient boosted decision trees

• Chao Zhang
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    Tomographic Reconstruction of LArTPC Events using Wire-cell

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    Tomographic Reconstruction of LArTPC Events using Wire-cell

• xiaomei zhang (IHEP,Beijing)
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    Multi-core supports in JUNO distributed computing

• Jiang Zhu (Sun Yat-Sen University )
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    Event Display in JUNO Experiment

• Jiaheng Zou (IHEP)
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    Parallel computing of SNiPER based on Intel TBB