|
12:30
|
--- Lunch ---
|
|
13:45
|
Track 1 - Data and metadata organization, management and access
(until 15:15)
(MHMK M01)
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|
13:45
|
Fermilab's migration to CTA
-
Eric Vaandering
(Fermi National Accelerator Lab. (US))
|
|
14:03
|
The Next Generation of ATLAS Data Carousel: Architecture, Performance, and Refactoring
- Mr
Mikhail Borodin
(CERN)
Misha Borodin
(University of Texas at Arlington (US))
Fernando Harald Barreiro Megino
(University of Texas at Arlington)
|
|
14:21
|
Analysis of Tape Archival Metadata Based on ATLAS Run3 Recall History
-
Xin Zhao
(Brookhaven National Laboratory (US))
|
|
14:39
|
Preserving the Web-Based Interfaces of the RHIC/STAR Experiment: A Low-Maintenance Archival Strategy
- Dr
Jerome LAURET
(Brookhaven National Laboratory)
|
|
14:57
|
Ensuring Long-Term Data Sustainability: Evaluating a Migration to Rucio for the LZ Dark Matter Experiment
-
Tyler Anderson
(LBNL)
|
|
13:45
|
Track 2 - Online and real-time computing
-
Tomoyuki Saito
(University of Tokyo (JP))
Piotr Konopka
(CERN)
(until 15:15)
(MHMK M02)
|
|
13:45
|
The ATLAS Trigger System
-
Stefanie Morgenstern
(Heidelberg University (DE))
|
|
14:03
|
Development of Data Scouting program in Run 3 at the CMS experiment
-
Patin Inkaew
(Helsinki Institute of Physics (FI))
|
|
14:21
|
A Hyperparameter Optimization Framework for Preparing ML Models for Real-Time Trigger Deployment
-
Anastasiia Petrovych
(CERN)
|
|
14:39
|
An End-to-End, Unified Workflow for Sub-Microsecond Inference on FPGAs
-
Dimitrios Danopoulos
(CERN)
|
|
14:57
|
AIE4ML: Leveraging Versal AI Engines to Enable More Expressive Real-Time ML Models for Next-Generation Trigger Systems
-
Dimitrios Danopoulos
(CERN)
|
|
13:45
|
Track 3 - Offline data processing
-
Carla Marin Benito
(University of Barcelona (ES))
(until 15:15)
(MHMK 201)
|
|
13:45
|
Accelerating charged-particle track reconstruction with deep neural networks for point-cloud segmentation
-
Minh-Tuan Pham
(University of Wisconsin Madison (US))
|
|
14:03
|
TICL: The Iterative CLustering Framework for the CMS Phase-2 Event Reconstruction
-
Wahid Redjeb
(CERN)
|
|
14:21
|
GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter
-
Jose Daniel Gaytan Villarreal
(Carnegie-Mellon University (US))
|
|
14:39
|
dN/dx reconstruction with deep learning for high-granularity TPCs
- Dr
Guang Zhao
(Institute of High Energy Physics (CAS))
|
|
14:57
|
Using Graph Neural Networks for the segmentation of overlapping objects in high granularity calorimeters
-
Matthieu Martin Melennec
(Centre National de la Recherche Scientifique (FR))
|
|
13:45
|
Track 4 - Distributed computing
(until 15:15)
(MHMK 202)
|
|
13:45
|
The Many Faces of Authentication and Authorisation at CERN
-
Berk Balci
(CERN)
|
|
14:03
|
Deployment of site-focused security event detection capabilities
-
David Crooks Dr
David Crooks
(UKRI STFC)
|
|
14:21
|
Hardening and Federating INDIGO IAM for Secure and Interoperable Research Infrastructures
-
Francesco Giacomini
(INFN CNAF)
|
|
14:39
|
SSH with federated identities
-
Marcus Hardt Dr
Marcus Hardt
(KIT)
|
|
14:57
|
A workflow based approach to risk assessment and analysis arising from token based authentication within the WLCG
- Mr
Tom Dack
(STFC UKRI)
|
|
13:45
|
Track 5 - Event generation and simulation
(until 15:15)
(MHMK 301)
|
|
13:45
|
Generative Muon Punch-Through with Flow-Matching in ATLAS
-
Firdaus Soberi
(The University of Edinburgh (GB))
|
|
14:03
|
Simulating the CMS High-Granularity Calorimeter with Generative AI
-
Oz Amram
(Fermi National Accelerator Lab. (US))
|
|
14:21
|
DiT-based fast simulation for the CEPC long-bar crystal electromagnetic calorimeter
-
ZHIHAO LI
(Institute of High Energy Physics, Chinese Academy of Sciences)
|
|
14:39
|
Modern Generative Models for Fast Calorimeter Simulation in ATLAS
-
Florian Ernst
(Heidelberg University (DE))
|
|
14:57
|
Adapting PARNASSUS: A Fast Simulation Tool for the ATLAS Experiment
-
Abdelrahman Asem Elabd
(University of Washington (US))
|
|
13:45
|
Track 6 - Software environment and maintainability
-
Arantza De Oyanguren Campos
(Univ. of Valencia and CSIC (ES))
Ruslan Mashinistov
(Brookhaven National Laboratory (US))
(until 15:15)
(PHYS1 204)
|
|
13:45
|
Automated tuning of GPU kernel parameters via RunTime Compilation for the ALICE Online reconstruction
-
Gabriele Cimador
(CERN, Università and INFN Torino)
|
|
14:03
|
The alpaka C++ library for performance portability
- Dr
Andrea Bocci
(CERN)
|
|
14:21
|
Module Map Graph: A High-Performance Software Library for GNN-Based Reconstruction Pipelines on Heterogeneous Architectures for the HL-LHC
-
Jan Stark
(Laboratoire des 2 Infinis - Toulouse, CNRS / Univ. Paul Sabatier (FR))
|
|
14:39
|
Incorporating Heightened Scrutiny into a Large HEP Software Project
-
Philippe Canal
(Fermi National Accelerator Lab. (US))
|
|
14:57
|
Designing a robust and modular quality control framework for the construction of the SiPM-on-Tile section of the CMS High Granularity Calorimeter upgrade
-
Anurag Sritharan
(Deutsches Elektronen-Synchrotron (DE))
|
|
13:45
|
Track 7 - Computing infrastructure and sustainability
(until 15:15)
(MHMK 308)
|
|
13:45
|
Getting to the top
- Mr
Andrea Chierici
(Universita e INFN, Bologna (IT))
|
|
14:03
|
STARS: A representative compute metric for SRCNet radio astronomy workloads
-
Pablo Llopis Sanmillan
(EPFL) Ms
Rohini Joshi
(FHNW)
|
|
14:21
|
Benchmarking GPU Viability in Heterogeneous HEP Batch Computing
-
Tim Voigtlaender
(KIT - Karlsruhe Institute of Technology (DE))
|
|
14:39
|
Classification and Modeling the Performance and Scaling of Scientific Workflows with Resource-efficient Workflow Mini-apps
-
Tianle Wang
(Brookhaven National Lab)
Ozgur Ozan Kilic
(Brookhaven National Laboratory)
|
|
14:57
|
Hardware technology in the AI era
- Dr
Andrea Sciabà
(CERN)
|
|
13:45
|
Track 7 - Computing infrastructure and sustainability
(until 15:15)
(MHMK 302)
|
|
13:45
|
Standardizing HPC-resource adaptation for HEP workflows
-
Tomas Lindén
(Helsinki Institute of Physics (FI))
|
|
14:03
|
Global Grid User Support (GGUS) for WLCG and EGI: From Legacy to Next-Generation Helpdesk
-
Pavel Weber
(Karlsruhe Institute of Technology (KIT))
|
|
14:21
|
Enhancing High Availability and Disaster Recovery for Kubernetes Workloads at CERN
-
Ricardo Rocha
(CERN)
Jack Charlie Munday
|
|
14:39
|
IHEP site cluster fine-grained scheduling optimization
-
Jingyan Shi
(IHEP)
|
|
14:57
|
Evolution of Kubernetes at CERN: Automated Management of Clusters and Add-ons
-
Jack Charlie Munday
|
|
13:45
|
Track 8 - Analysis infrastructure, outreach and education
(until 15:15)
(MHMK 207)
|
|
13:45
|
From recommendations to action: your role in advancing data preservation and open science in high-energy physics
-
Caterina Doglioni
(The University of Manchester (GB))
|
|
14:03
|
Rucio for Open Science: FAIR and Accessible Data at Scale from Day One
-
Hugo Gonzalez Labrador
(CERN)
|
|
14:21
|
Providing Cold Storage in the CERN Open Data portal in production
-
Pablo Saiz
(CERN)
|
|
14:39
|
Advancements in ATLAS Open Data for Research
-
Giovanni Guerrieri
(CERN)
|
|
14:57
|
LHCb Ntupling Service: official public release with access to Run 2 open data
-
Piet Nogga
(University of Bonn (DE))
|
|
13:45
|
Track 9 - Analysis software and workflows
-
Aidan Richard Wiederhold
(The University of Manchester (GB))
Seungjin Yang
(Kyung Hee University (KR))
(until 15:15)
(MHMK 208)
|
|
13:45
|
New Developments in ROOT's RDataFrame
-
Stephan Hageboeck
(CERN)
|
|
14:03
|
Coffea Framework: Current Status, Recent Updates, and Community Impact
-
Iason Krommydas
(Rice University (US))
|
|
14:21
|
MC-Run: Scalable MC event generation and Rivet analysis
-
Cedric Verstege
(KIT - Karlsruhe Institute of Technology (DE))
|
|
14:39
|
SMOCS - JLab’s Streaming Monitoring Optimization Control System
-
Torri Jeske
|
|
14:57
|
Framework for vectorized computations for the Final Daya Bay data release
- Dr
Maxim Gonchar
(Joint Institute for Nuclear Research)
|
|
15:15
|
Poster
(until 16:15)
|
|
15:15
|
Enhancing ATLAS ITk Outer Barrel Loading Workflows through Guided Procedures and Automated Database Interactions with CLApp
- Dr
Maximilian Horzela
(Georg August Universitaet Goettingen (DE))
|
|
15:16
|
Sustainable Simulation: Reducing FullSim Dependence with Cross-Experiment Pretrained Neural Networks
-
Matthias Schott
(CERN / University of Mainz)
|
|
15:17
|
CMS Storage Performance with RNTuple
-
Eric Vaandering
(Fermi National Accelerator Lab. (US))
|
|
15:18
|
Development of the JUNO-TAO event display based on PHOENIX
-
Xuesen Wang
|
|
15:19
|
From In-House Tools to HashiCorp Vault: CERN's Transition to Modern Scalable Secrets Management
-
Ben Jones
(CERN)
|
|
15:20
|
Data-Driven Validation of HS23 with CMS Grid Job Monitoring Data
-
Robin Hofsaess
|
|
15:22
|
A Blueprint for Emerging Centers: The NNU HEP Farm's Evolution from Local Cluster to Grid Integration
-
Kai Yi
(Nanjing Normal University (CN))
|
|
15:23
|
Riemannian-based quantum optimization for quantum machine learning
-
Kasidit Srimahajariyapong
(Chulalongkorn University)
|
|
15:24
|
AI-Driven Operations and Digital Twin for the LHCb Data Centre
-
Pierfrancesco Cifra
(CERN)
|
|
15:25
|
LGT4HEP: Computing Traineeship in Lattice Gauge Theory for High-Energy Physics
-
Huey-Wen Lin
|
|
15:26
|
Leveraging Visualization for Enhanced Physics Analysis in BESIII
-
Zhijun Li
(Sun Yat-Sen University (CN))
|
|
15:27
|
FairRoot an experiment independent framework for simulation, analysis and reconstruction
-
Florian Uhlig
(GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
|
|
15:28
|
Transformer-based deep learning approach to measurement of the rare top process $t \to sW$
-
Woojin Jang
(University of Seoul, Department of Physics (KR))
|
|
15:29
|
EveNet: A Foundation Model for Particle Collision Data Analysis
-
Ting-Hsiang Hsu
(National Taiwan University (TW))
|
|
15:30
|
Differentiable Everything: A JAX Ecosystem for Likelihood-Based Inference in HEP
-
Mohamed Aly
(Princeton University (US))
|
|
15:31
|
Uproot-custom: Extend and customize TTree reading in Uproot
-
Mingrun Li
|
|
15:32
|
The tracking performance on LHCb UP detector in Upgrade II
-
Yisheng Fu
(Chinese Academy of Sciences (CN))
|
|
15:33
|
TPC MPD GAN Fast Simulation
- Dr
Alexey Boldyrev
|
|
15:34
|
Enhancement and Validation of Hadronic De-excitation Models in Geant4
-
Nikita Chalyi
(Tomsk State University (TSU))
|
|
15:35
|
Remote ROOT Data Access: Separating Client and Server Effects in Nginx and XRootD
-
Aashay Arora
(Univ. of California San Diego (US))
|
|
15:36
|
DUNE Rucio Server Scalability Studies
-
Jacob Calcutt
(Brookhaven National Laboratory (US))
|
|
15:37
|
Metadex: An AI-Native Conditions Metadata Exchange for DUNE
- Dr
Gavin Davies
(University Of Mississippi)
|
|
15:38
|
Update on the Canadian Belle II Tier1 Raw Data Centre
- Dr
Marcus Ebert
(University of Victoria)
|
|
15:39
|
Enhancing the ME0 Level-1 Trigger in the CMS Experiment Using Machine Learning
-
Woohyeon Heo
(University of Seoul, Department of Physics (KR))
|
|
15:40
|
JUNO Raw Data Preprocessing
-
Tao Lin
(Chinese Academy of Sciences (CN)) Dr
Tao Lin
|
|
15:41
|
GUNTAM: A Transformer for seed reconstruction
-
Minh-Tuan Pham
(University of Wisconsin Madison (US))
|
|
15:42
|
Quantum machine learning and the journey to its scalability
-
Supanut Thanasilp
(Chulalongkorn University)
|
|
15:43
|
Innovations for hardware-level muon trigger for long-lived particles in CMS
-
Pelayo Leguina
(Universidad de Oviedo (ES))
|
|
15:44
|
A Low-Latency Muon-Shower trigger for Long-Lived Particle Signatures
-
Javier Prado Pico
(Universidad de Oviedo (ES))
|
|
15:45
|
A Graph-Pipeline Framework for ALICE MC Workflows in Run 3 and Beyond
-
Sandro Christian Wenzel
(CERN)
|
|
15:46
|
CernVM-FS Unchained: An Update to Container Unpacking and Distribution with CVMFS
-
Valentin Volkl
(CERN)
|
|
15:47
|
Driving the CMS Submission Infrastructure Towards the HL-LHC Scales
-
Antonio Perez-Calero Yzquierdo
(Centro de Investigaciones Energéticas Medioambientales y Tecnológicas)
|
|
15:49
|
Next-Generation Triggers for CMS at the HL-LHC: Toward Offline-Quality Real-Time Reconstruction
-
Jessica Prendi
(ETH Zurich (CH))
|
|
15:50
|
Performance Portable Lattice Gauge Theory Simulation with Kokkos
-
LI Haibo lihaibo
|
|
15:51
|
Translating LHCb’s documentation – first experiences and ensuring maintenance
-
Yisheng Fu
(Chinese Academy of Sciences (CN))
Andy MORRIS
|
|
16:15
|
Track 1 - Data and metadata organization, management and access
(until 18:03)
(MHMK M01)
|
|
16:15
|
A new Rucio Service at CERN for Emerging and Established Experiments
-
Hugo Gonzalez Labrador
(CERN)
|
|
16:33
|
interTwin Digital Twin Engine's Data Lake
-
Dijana Vrbanec
|
|
16:51
|
A Rucio-Based Global Data Lake for the SKA Regional Centre Network
-
James Collinson
(SKAO)
|
|
17:09
|
Enhancing Rucio for Gravitational Wave Experiments with MADDEN
-
Federica Legger
(Universita e INFN Torino (IT))
|
|
17:27
|
Integrating Globus as a Transfer Tool for Rucio: Bridging HEP and ASCR Data Management Infrastructure
-
Douglas Benjamin
Benjamin Gutierrez
(Argonne National Laboratory)
Doug Benjamin
(Brookhaven National Laboratory (US))
|
|
17:45
|
SRCNet v0.1 and the Data Path to SKA Science
-
James William Walder
(Science and Technology Facilities Council STFC (GB))
|
|
16:15
|
Track 2 - Online and real-time computing
-
Piotr Konopka
(CERN)
Peilian Li
(University of Chinese Academy of Sciences)
(until 18:03)
(MHMK M02)
|
|
16:15
|
Autoencoders for real-time event selection at the LHCb experiment
-
Paloma Laguarta González
(University of Barcelona (ES))
|
|
16:33
|
Designing a Heterogeneous Computing Architecture for Level-1 Data Scouting in CMS at the HL-LHC
-
Giovanni Zago
(Universita e INFN, Padova (IT))
|
|
16:51
|
Online searches for long-lived particles at LHCb: BuSca (Buffer Scanner)
-
Valerii Kholoimov
(EPFL - Ecole Polytechnique Federale Lausanne (CH))
|
|
17:09
|
Accelerating Graph Neural Networks on FPGAs for Real-Time Level-0 Muon Triggering
-
Martino Errico
(Sapienza Universita e INFN, Roma I (IT))
|
|
17:27
|
Particle-Based Representation Learning for Anomaly Detection in the CMS High-Level Trigger
-
Mehrnoosh Moallemi
(Rutherford Appleton Laboratory (GB))
|
|
17:45
|
Advances in the Optimisation of the LHCb First Level Trigger
-
Andreea-Irina Hedes
(The University of Manchester (GB))
|
|
16:15
|
Track 3 - Offline data processing
-
Adriano Di Florio
(CC-IN2P3)
Nicholas Styles
(Deutsches Elektronen-Synchrotron (DE))
(until 18:03)
(MHMK 201)
|
|
16:15
|
Using Line Segment Tracking to enable ML-based Track Reconstruction in CMS
-
Aashay Arora
(Univ. of California San Diego (US))
|
|
16:33
|
Hybrid Track Candidate Finder Combining the Hough Transform and Neural Networks for Fast Charged-Particle Reconstruction
-
Marcin Wolter
(Polish Academy of Sciences (PL))
Krzysztof Cieśla
(AGH University of Krakow (PL))
Tomasz Bold
(AGH University of Krakow (PL))
Carlo Varni
(AGH University of Krakow (PL))
|
|
16:51
|
Boosting the ATLAS Event Reconstruction Efficiency via an Improved Track-Overlay
-
Marilena Bandieramonte
(University of Pittsburgh (US))
|
|
17:09
|
Graph Neural Network Based End-to-End Track Reconstruction with Drift Chamber and CGEM at BESIII
-
Xinyu Zhuang
Yunhe Yang
(Nankai University)
|
|
17:27
|
Track Reconstruction for the COMET Drift Chamber
-
兆轲 张
(中国科学院高能物理研究所)
|
|
17:45
|
Efficient Graph Segmentation via Global Path Inference and Learned Edge Embeddings for Scalable GNN-based Tracking
-
Jay Chan
(Lawrence Berkeley National Lab. (US))
|
|
16:15
|
Track 4 - Distributed computing
(until 18:03)
(MHMK 202)
|
|
16:15
|
Fair-Share Versus Opportunism in Multi-VO Environments: The Complexity of Job Slot Allocation at the RAL Tier-1
- Dr
Brij Kishor Jashal
(Rutherford Appleton Laboratory)
|
|
16:33
|
Multicore workload scheduling, then vs. now
-
Jeff Templon
|
|
16:51
|
Advanced support for heterogeneous resources for the future CMS Offline Computing
-
Florian Von Cube
(KIT - Karlsruhe Institute of Technology (DE))
|
|
17:09
|
Job scheduling optimization for heterogeneous resources in the ALICE Grid
-
Maria-Elena Mihailescu
(National University of Science and Technology POLITEHNICA Bucharest (RO))
|
|
17:27
|
Whole-node scheduling in ALICE: lessons learnt during five years of operation
-
Marta Bertran Ferrer
(CERN)
|
|
17:45
|
Advanced Scheduling Strategies for Improved CPU Efficiency in CMS Offline Computing
-
Antonio Perez-Calero Yzquierdo
(Centro de Investigaciones Energéticas Medioambientales y Tecnológicas)
|
|
16:15
|
Track 5 - Event generation and simulation
(until 18:03)
(MHMK 301)
|
|
16:15
|
Fast Hybrid Simulation for the LHCb Calorimeters
-
Matteo Rama
(INFN Pisa (IT))
|
|
16:33
|
End-to-End Fast Simulation of the ALICE Zero Degree Calorimeter using Generative Models
-
Davide Fuligno
(University of Pisa and INFN Trieste (IT))
|
|
16:51
|
Electro-magnetic calorimeter shower simulation using machine learning techniques at BESIII experiment
-
Tong Liu
|
|
17:09
|
Improving simulation of extreme EM calorimeter showers with deep neural networks
-
Minh-Tuan Pham
(University of Wisconsin Madison (US))
|
|
17:27
|
Exploring Potential Pathways to Accelerate ePIC Detector Simulation
-
Sakib Rahman
Sakib Rahman
|
|
17:45
|
Evaluation of VecGeom Solids in the Context of ALICE O2 Simulation
-
Ivana Hrivnacova
(Université Paris-Saclay (FR))
|
|
16:15
|
Track 6 - Software environment and maintainability
-
Ruslan Mashinistov
(Brookhaven National Laboratory (US))
Arantza De Oyanguren Campos
(Univ. of Valencia and CSIC (ES))
(until 18:03)
(PHYS1 204)
|
|
16:15
|
Tackling complexity in the development of HEP applications by introducing unit testing in the Gaudi framework
-
Pol Muñoz Pastor
(La Salle, Ramon Llull University (ES))
|
|
16:33
|
Hypothesis-awkward: Property-Based Testing Strategies for Awkward Array
-
Tai Sakuma
(Princeton University)
Tai Sakuma
(Princeton University)
|
|
16:51
|
A Record-and-Replay Workflow for Floating-Point Error Analysis of GPU Kernels
-
Douglas Benjamin
|
|
17:09
|
The ATLAS C++ static checker
-
Scott Snyder
(Brookhaven National Laboratory (US))
|
|
17:27
|
Enabling end-to-end testing: Porting low latency gravitational wave search pipelines to kubernetes
-
Paul James Laycock
(Universite de Geneve (CH))
|
|
17:45
|
Evolving the CMS software into a distributed application
-
Mario Gonzalez
(CERN)
|
|
16:15
|
Track 7 - Computing infrastructure and sustainability
(until 18:03)
(MHMK 302)
|
|
16:15
|
Exploiting LHCb trigger CPU and GPU resources as Analysis Facilities
-
Eduardo Rodrigues
(University of Liverpool (GB))
Diogo Castro
(CERN)
|
|
16:33
|
Computing Activities at the Spanish Tier-1 and Tier-2s for the ATLAS experiment in the LHC Run3 period and towards the High Luminosity Phase (HL-LHC)
- Dr
Santiago Gonzalez De La Hoz
(Univ. of Valencia and CSIC (ES))
|
|
16:51
|
Operating a Large GPU HPC Farm With a Small Team: Lessons from the ALICE EPN Project
- Dr
Lubos Krcal
(CERN)
|
|
17:09
|
Dynamic provision of GPUs at HPC centers for HEP
-
Nikita Shadskiy
(KIT - Karlsruhe Institute of Technology (DE))
|
|
17:27
|
From CPU-Centric to Accelerator-Aware: Operational Deployment of MIG and vGPU Partitioning in WLCG
- Dr
Brij Kishor Jashal
(Rutherford Appleton Laboratory)
|
|
17:45
|
A user-level network overlay to enable offloading of scientific payloads from cloud-native interfaces
-
Mirko Mariotti
(Universita e INFN, Perugia (IT))
Diego Ciangottini
(INFN, Perugia (IT))
Mauro Gattari
(INFN (National Institute for Nuclear Physics))
Massimo Sgaravatto
(Universita e INFN, Padova (IT))
Giulio Bianchini
(Universita e INFN, Perugia (IT))
Lucio Anderlini
(Universita e INFN, Firenze (IT))
Daniele Spiga
Rosa Petrini
(Universita e INFN, Firenze (IT))
|
|
16:15
|
Track 7 - Computing infrastructure and sustainability
(until 18:03)
(MHMK 308)
|
|
16:15
|
Watt Matters: cluster-level frequency control for lower CO2 in HEP
-
Emanuele Simili
|
|
16:33
|
CERN IT's Approach to Environmental Sustainability
-
Daniele Massaro
(CERN)
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16:51
|
A study of heat reuse from a scientific computing facility
-
Mattias Wadenstein
(University of Umeå (SE))
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17:27
|
European XFEL Scientific Data Infrastructure.
-
Janusz Malka
(European XFEL GmbH)
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17:45
|
Monitoring Sustainability at an ATLAS Tier 2 Computing Centre
-
Miguel Villaplana
(IFIC - Univ. of Valencia and CSIC (ES))
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16:15
|
Track 8 - Analysis infrastructure, outreach and education
(until 18:03)
(MHMK 207)
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16:15
|
Comprehensive Data and Analysis Preservation at RHIC: Lessons Learned and Path Forward
-
Eric Lancon
(Brookhaven National Laboratory (US))
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16:33
|
Towards fully reproducible physics analyses: lessons learned and practical implementations at LHCb
- Dr
Mindaugas Sarpis
(Vilnius University (LT))
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16:51
|
Celebi: a Novel Architecture for Reproducible and Preserved Physics Analyses
-
Mingrui Zhao
(Peking University (CN))
|
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17:09
|
Building a local Virtual Research Environment for the Einstein Telescope project
-
Tommaso Diotalevi
(Universita e INFN, Bologna (IT))
|
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17:27
|
Construction and Application of a Computing Platform for Diverse Data Analysis Scenarios at HEPS
-
Qingbao Hu
(IHEP)
|
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17:45
|
The CERN Analysis Facility: Consolidation, Evolution and Strategy
-
Giovanni Guerrieri
(CERN)
|
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16:15
|
Track 9 - Analysis software and workflows
-
Emma Torro Pastor
(Univ. of Valencia and CSIC (ES)) Dr
Vincenzo Eduardo Padulano
(CERN)
(until 18:03)
(MHMK 208)
|
|
16:15
|
Particle physics data analysis on the GPU: from IO to data reduction
-
Jonas Rembser
(CERN)
|
|
16:33
|
Bridging the Vendor Gap: Enabling AMD GPU Support for Awkward Array via ROCm/HIP for the HL-LHC Era
-
Ianna Osborne
(Princeton University)
|
|
16:51
|
GPU acceleration of end-user analyses at the LHC
-
Ianna Osborne
(Princeton University)
|
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17:09
|
b2luigi - bringing batch 2 luigi
-
Alexander Heidelbach
|
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17:27
|
Flare: an open source data workflow orchestration tool
-
Cameron Harris
|
|
17:45
|
Reproducible and Modular Analysis Workflows in High-Energy Physics: Concepts and Implementation of a Code-Centric Approach
-
Maximilian Horzela
(Georg August Universitaet Goettingen (DE))
|
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18:15
|
Ice-breaking social event
-
Natalia Diana Szczepanek
(CERN)
Alessandra Forti
(The University of Manchester (GB))
David Lange
(Princeton University (US))
Marilena Bandieramonte
(University of Pittsburgh (US))
Tomoe Kishimoto
(KEK High Energy Accelerator Research Organization (JP))
Hugo Gonzalez Labrador
(CERN)
(until 20:00)
(MHMK 507)
|