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09/11/2023
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
Answering multi-hop reasoning questions requires retrieving and synthesi...
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08/28/2023
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices
Federated learning (FL) is increasingly becoming the default approach fo...
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08/18/2023
Towards a Modular Architecture for Science Factories
Advances in robotic automation, high-performance computing (HPC), and ar...
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08/08/2023
NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling
The NSF-funded Robust Epidemic Surveillance and Modeling (RESUME) projec...
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07/29/2023
nelli: a lightweight frontend for MLIR
Multi-Level Intermediate Representation (MLIR) is a novel compiler infra...
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07/20/2023
The Changing Role of RSEs over the Lifetime of Parsl
This position paper describes the Parsl open source research software pr...
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07/15/2023
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs
It is generally desirable for high-performance computing (HPC) applicati...
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07/11/2023
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression
The increasing volume and velocity of science data necessitate the frequ...
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05/16/2023
Accelerating Communications in Federated Applications with Transparent Object Proxies
Advances in networks, accelerators, and cloud services encourage program...
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05/05/2023
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow
Pooling and sharing data increases and distributes its value. But since ...
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04/28/2023
Hierarchical and Decentralised Federated Learning
Federated learning has shown enormous promise as a way of training ML mo...
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04/27/2023
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis
COVID-19 had an unprecedented impact on scientific collaboration. The pa...
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03/31/2023
Workflows Community Summit 2022: A Roadmap Revolution
Scientific workflows have become integral tools in broad scientific comp...
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03/15/2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Applications that fuse machine learning and simulation can benefit from ...
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02/13/2023
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science
In many experiment-driven scientific domains, such as high-energy physic...
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09/23/2022
funcX: Federated Function as a Service for Science
funcX is a distributed function as a service (FaaS) platform that enable...
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08/19/2022
Globus Automation Services: Research process automation across the space-time continuum
Research process automation–the reliable, efficient, and reproducible ex...
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07/01/2022
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy
A concise and measurable set of FAIR (Findable, Accessible, Interoperabl...
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05/23/2022
ScholarBERT: Bigger is Not Always Better
Transformer-based masked language models trained on general corpora, suc...
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05/03/2022
Extended Abstract: Productive Parallel Programming with Parsl
Parsl is a parallel programming library for Python that aims to make it ...
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04/11/2022
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences
Powerful detectors at modern experimental facilities routinely collect d...
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01/19/2022
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows
The importance of workflows is highlighted by the fact that they have un...
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10/06/2021
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing
Scientific applications that involve simulation ensembles can be acceler...
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10/05/2021
A Community Roadmap for Scientific Workflows Research and Development
The landscape of workflow systems for scientific applications is notorio...
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09/24/2021
Extreme Scale Survey Simulation with Python Workflows
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) wil...
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08/30/2021
ExaWorks: Workflows for Exascale
Exascale computers will offer transformative capabilities to combine dat...
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07/04/2021
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks
Kronecker-factored Approximate Curvature (K-FAC) has recently been shown...
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07/01/2021
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications
The user-facing components of the Cyberinfrastructure (CI) ecosystem, sc...
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06/09/2021
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
Scientific workflows are a cornerstone of modern scientific computing, a...
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05/27/2021
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms
Executing scientific workflows with heterogeneous tasks on HPC platforms...
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03/16/2021
Workflows Community Summit: Bringing the Scientific Workflows Community Together
Scientific workflows have been used almost universally across scientific...
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01/12/2021
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text
Researchers worldwide are seeking to repurpose existing drugs or discove...
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10/16/2020
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis
Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce...
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10/13/2020
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads
The drug discovery process currently employed in the pharmaceutical indu...
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08/31/2020
The Data Station: Combining Data, Compute, and Market Forces
This paper introduces Data Stations, a new data architecture that we are...
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05/28/2020
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release
Researchers across the globe are seeking to rapidly repurpose existing d...
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05/12/2020
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
Whole Tale http://wholetale.org is a web-based, open-source platform for...
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05/07/2020
funcX: A Federated Function Serving Fabric for Science
Exploding data volumes and velocities, new computational methods and pla...
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11/26/2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...
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08/14/2019
Serverless Supercomputing: High Performance Function as a Service for Science
Growing data volumes and velocities are driving exciting new methods acr...
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05/06/2019
Parsl: Pervasive Parallel Programming in Python
High-level programming languages such as Python are increasingly used to...
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02/10/2019
Cloud Futurology
The Cloud has become integral to most Internet-based applications and us...
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02/01/2019
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
This report provides an overview of recent work that harnesses the Big D...
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11/27/2018
DLHub: Model and Data Serving for Science
While the Machine Learning (ML) landscape is evolving rapidly, there has...
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10/13/2018
Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories
As scientific data repositories and filesystems grow in size and complex...
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05/01/2018