Timetable

Workshop Tutorial
Time Room A Room B Room C Room D Room E Room F Room G
08:30 - 09:30 6GRP ReWorDS RMGDD Ai4SC Large-scale Workflow Provenance Data Management in the AI Lifecycle using Flowcept
Amal Gueroudji, Renan Souza, Daniel Rosendo, Rafael Ferreira da Silva		 Julia for performance-portable High-Performance Computing via JACC
Philip W. Fackler, Steven E. Hahn, Pedro Valero-Lara		 HARMONY
09:30 - 10:30 6GRP ReWorDS RMGDD Ai4SC HARMONY
10:30 - 11:00 BREAK
11:00 - 12:30 6GRP ReWorDS RMGDD Ai4SC HARMONY
12:30 - 13:30 LUNCH
13:30 - 14:30 6GRP ReWorDS Building scalable solutions for hybrid QC-HPC workloads on the cloud
Tyler Takeshita, Benchen Huang, Sebastian Stern		 Ai4SC Type-Safe Functional Programming for Data Science
Konstantin Läufer, George K. Thiruvathukal		 Advanced Data Science Techniques Using GPUs: A Practical Tutorial
Didier Barradas-Bautista, Abdelghafur Halimi		 HARMONY
14:30 - 15:30 6GRP ReWorDS Ai4SC HARMONY
15:30 - 16:00 BREAK
16:00 - 17:30 6GRP ReWorDS T3 Ai4SC T2 T6 HARMONY
Workshop Tutorial Main Conference
Time Plenary Room Room A Room B Room C Room D Room E
08:30 - 10:30 6GRP WFB Reliable Metadata Generation and Data Discovery Tutorial (RMGDD)
Elianna DeSota, Martin Karlsson, Edvard Hubinette, Vyacheslav Tykhonov, Jonathan Starr		 Reproducible Benchmarking for High-Performance Computing Applications
Olga Pearce, Doug Jacobsen, Gregory Becker, Stephanie Brink		 AI Workflows using ACCESS Pegasus
Karan Vahi, Mats Rynge
09:30 - 10:30 6GRP
10:30 - 11:00 BREAK
11:00 - 12:30 6GRP WFB Reliable Metadata Generation and Data Discovery Tutorial (RMGDD)
Elianna DeSota, Martin Karlsson, Edvard Hubinette, Vyacheslav Tykhonov, Jonathan Starr		 Reproducible Benchmarking for High-Performance Computing Applications
Olga Pearce, Doug Jacobsen, Gregory Becker, Stephanie Brink		 AI Workflows using ACCESS Pegasus
Karan Vahi, Mats Rynge
12:30 - 13:30 LUNCH (atrium)
13:30 - 14:30 Keynote 1
14:30 - 15:30 Best Papers Session 1
  • Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
    Moontaha Nishat Chowdhury, Andre Bauer and Minxuan Zhou
  • Intuitive Computational Steering Using Ascent and Trame
    Thomas Marrinan, Andres Sewell, Victor Mateevitsi, Steve Petruzza, Jifu Tan, Dimitrios Fytanidis and Michael Papka
15:30 - 16:00 BREAK
16:00 - 17:30 Best Papers Session 2
  • Dreaming Up Novel Quantum Dyes using Inverse Machine Learning in MatFlow
    Mahib Ornob, Lan Li and Hasan Jamil
  • Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization
    Marcus Schwarting, Logan Ward, Nathaniel Hudson, Xiaoli Yan, Ben Blaiszik, Santanu Chaudhuri, Eliu Huerta and Ian Foster
  • Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
    Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi and Yogesh Simmhan
17:30 - 18:00 BREAK
18:00 - 20:00 Posters & Reception
Main Conference
Time Plenary Room Room A
09:00 - 10:00 Keynote 2
10:00 - 10:30 BREAK
10:30 - 12:30 Applications 1
  • Science-Informed Multitask Transformer for Soil Property Prediction from FTIR Spectroscopy
    Andrei Bachinin, Rupasree Dey, Paahuni Khandelwal, Sam Leuthold, M. Francesca Cotrufo, Shrideep Pallickara and Sangmi Lee Pallickara
  • Towards Provenance-Aware Earth Observation Workflows: the openEO Case Study
    Hamid Omidi, Ludovica Sacco, Valentina Hutter, Gerald Irsiegler, Michele Claus, Martin Schobben, Alexander Jacob, Matthias Schramm and Sandro Luigi Fiore
  • Accelerating Weather Forecasting: A Neural Network-Based Emulation of ISORROPIA
    Georgios Evangelopoulos, Gholamali Hoshyaripour, Jörg Meyer, Pankaj Kumar, Julia Bruckert and Achim Streit
  • Modeling Remote Sensing Data Relationships with Spatiotemporal Knowledge Graphs
    Isaac Nealey and Ilkay Altintas
  • GEOtiled-SG: A Scalable Framework for High-Resolution Terrain Parameter Computation
    Gabriel Laboy, Ian Lumsden, Paula Olaya, Jack Marquez, Kin Wai Ng, Rodrigo Vargas and Michela Taufer
 Infrastructure 1
  • EventSetProcessor: An Engine for Efficiently Combining High-Energy Physics Data
    Florine Willemijn de Geus, Vincenzo Eduardo Padulano, Jakob Blomer, Hannes Mühleisen and Ana-Lucia Varbanescu
  • SCALPEL: Structured Content Access Logging and Pruning for Efficient Layouts
    Raffay Atiq, Ashish Gehani, Tanu Malik and Fareed Zaffar
  • Towards Machine-actionable FAIR Digital Objects with a Typing Model that Enables Operations
    Maximilian Inckmann, Nicolas Blumenröhr and Rossella Aversa
  • CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
    Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi Madduri and Suren Byna
  • P-RGCNs: Missing Link Prediction in Model Card Graphs through Node Property Encodings
    Krishna Priya, Sachith Withana and Beth Plale
12:30 - 13:30 LUNCH
13:30 - 15:30 Invited Talks 1 Workflow
  • Supporting FAIR Scientific Workflows with the JGI Analysis Workflow Service (JAWS)
    Daniela Cassol, Alicia Clum, Jeff Froula, Ed Kirton, Ramani Kothadia, Mario Melara, Elais Player-Jackson, Setareh Sarrafan, Seung-Jin Sul, Stephan Trong, Nick Tyler, Tomas Bruna, Leo Baumgart and Kjiersten Fagnan
  • Reinventing CI/CD for Collaborative Sciences: A Blockchain-Integrated Decentralized Middleware for Scalable and Fault-Tolerant Workflows
    Amena Begum Farha, Abdullah Al-Mamun, Gagan Agrawal and Ahmed Aleroud
  • The FISHNET Case Study on Implementing and Scaling a Complex Earth Observation Workflow
    Lorenz Gruber, Nikolas Herbst, Thomas Esch, Thanh Nguyen, Peter Friedl and Samuel Kounev
  • Backpacks for Notebooks: Enabling Containerized Notebook Workflows in Distributed Environments
    Md Saiful Islam, Talha Azaz, Raza Ahmad, A S M Shahadat Hossain, Furqan Baig, Shaowen Wang, Kevin Lannon, Tanu Malik and Douglas Thain
  • Liberating the Data Aware Scheduler to Achieve Locality in Layered Scientific Workflow Systems
    Colin Thomas and Douglas Thain
15:30 - 16:00 BREAK
16:00 - 17:30 Panel
17:30 - 18:00 BREAK
18:00 - 20:00 Conference Dinner & Awards
Main Conference
Time Plenary Room Room A
09:00 - 10:00 Keynote 3
10:00 - 10:30 BREAK
10:30 - 12:30 Invited Talks 2 Infrastructure 2
  • From Data to Decision: Data-Centric Infrastructure for Reproducible ML in Collaborative eScience
    Zhiwei Li, Carl Kesselman, Tran Huy Nguyen, Benjamin Xu, Kyle Bolo and Kimberley Yu
  • Diamond: Harnessing GPU Resources for Scientific Deep Learning
    Haotian Xie, Rohan Marwaha, Minu Mathew, Song Bian, Gengcong Yang, Minghao Yan, Yadu Babuji, Owen Price, Yinzhi Wang, Volodymyr Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian Foster and Zhao Zhang
  • Optimizing Deep Reinforcement Learning Configurations for Single Object Tracking
    Hy Nguyen, Srikanth Thudumu, Hung Du, Rajesh Vasa and Kon Mouzakis
  • Tuning the Tuner: Introducing Hyperparameter Optimization for Auto-Tuning
    Floris-Jan Willemsen, Rob van Nieuwpoort and Ben van Werkhoven
  • Institutional Research Computing Capabilities in Australia: 2024
    Slava Kitaeff, Luc Betbeder-Matibet and Jake Carroll
12:30 - 13:30 LUNCH
13:30 - 15:10 Performance
  • Locks Must Die: Composable Mutual Exclusion Implemented by Dynamic Resource Sharing on Task Graphs
    Max Morris, Steven R. Brandt and Hartmut Kaiser
  • Enabling Scientific Applications with Performance-Portability and High-Productivity for Multi-GPU Programming with JACC.Multi
    Pedro Valero-Lara, William Godoy, Philip Fackler, Keita Teranishi and Jeffrey Vetter
  • BookedSlurm: meeting user needs for advanced resource reservations in Slurm
    Sandro Gepiro Contaldo, Lorenzo Bosio, Janneth Estefania Hoyos Rea, Elisa Li Perottino, Sergio Rabellino, Marco Aldinucci, Marco Beccuti and Iacopo Colonnelli
  • Parallel and Distributed Protein Processing for 3D-protein Pattern Discovery and Clustering
    Alejandro Valdés-Jiménez, Gabriel Núñez-Vivanco and Daniel Jiménez-González
 Applications 2
  • Frances++: LLM-Based Semantic Enrichment and Spatial Graphs for Digitized Historical Collections
    Lilin Yu and Rosa Filgueira
  • Leveraging Hidden Patterns in Open-Ended Health Workers' Notes to Improve Prediction of Patient Readmission
    Naveen Kumar Reddy Veeramreddy, Ankita Mishra, Navika Maglani, Sameer Shaik, Kelly McCabe, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua and Jamshid Sourati
  • Novel Perspective on Ensemble Clustering for Persistent Cluster Patterns: A Case Study in Disease Cluster Discovery
    Fernanda Cabral, Maria Alexandra Hubbard, Rudhvish Patel, Adeola Badmos, Daniela Raicu, Raj Shah and Roselyne Tchoua
  • A Novel Scientific Machine Learning Method for Epidemiological Modelling
    Tirtha Pani, Raj Abhijit Dandekar, Prathamesh Dinesh Joshi, Rajat Dandekar and Sreedath Panat
15:10 - 15:30 Closing Session