b'Kyle Chard'

research

∙ 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...

0 Mansi Sakarvadia, et al. ∙

research

∙ 08/28/2023

Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices

Federated learning (FL) is increasingly becoming the default approach fo...

0 Samir Rajani, et al. ∙

research

∙ 08/18/2023

Towards a Modular Architecture for Science Factories

Advances in robotic automation, high-performance computing (HPC), and ar...

0 Rafael Vescovi, et al. ∙

research

∙ 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...

0 Abby Stevens, et al. ∙

research

∙ 07/29/2023

nelli: a lightweight frontend for MLIR

Multi-Level Intermediate Representation (MLIR) is a novel compiler infra...

0 Maksim Levental, et al. ∙

research

∙ 07/20/2023

The Changing Role of RSEs over the Lifetime of Parsl

This position paper describes the Parsl open source research software pr...

0 Daniel S Katz, et al. ∙

research

∙ 07/15/2023

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs

It is generally desirable for high-performance computing (HPC) applicati...

0 Mihael Hategan-Marandiuc, et al. ∙

research

∙ 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...

0 Yuanjian Liu, et al. ∙

research

∙ 05/16/2023

Accelerating Communications in Federated Applications with Transparent Object Proxies

Advances in networks, accelerators, and cloud services encourage program...

0 J. Gregory Pauloski, et al. ∙

research

∙ 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 ...

0 Siyuan Xia, et al. ∙

research

∙ 04/28/2023

Hierarchical and Decentralised Federated Learning

Federated learning has shown enormous promise as a way of training ML mo...

0 Omer Rana, et al. ∙

research

∙ 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...

0 Nicholson Collier, et al. ∙

research

∙ 03/31/2023

Workflows Community Summit 2022: A Roadmap Revolution

Scientific workflows have become integral tools in broad scientific comp...

0 Rafael Ferreira da Silva, et al. ∙

research

∙ 03/15/2023

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources

Applications that fuse machine learning and simulation can benefit from ...

0 Logan Ward, et al. ∙

research

∙ 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...

0 Maksim Levental, et al. ∙

research

∙ 09/23/2022

funcX: Federated Function as a Service for Science

funcX is a distributed function as a service (FaaS) platform that enable...

0 Zhuozhao Li, et al. ∙

research

∙ 08/19/2022

Globus Automation Services: Research process automation across the space-time continuum

Research process automation–the reliable, efficient, and reproducible ex...

2 Ryan Chard, et al. ∙

research

∙ 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...

19 Nikil Ravi, et al. ∙

research

∙ 05/23/2022

ScholarBERT: Bigger is Not Always Better

Transformer-based masked language models trained on general corpora, suc...

14 Zhi Hong, et al. ∙

research

∙ 05/03/2022

Extended Abstract: Productive Parallel Programming with Parsl

Parsl is a parallel programming library for Python that aims to make it ...

0 Kyle Chard, et al. ∙

research

∙ 04/11/2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences

Powerful detectors at modern experimental facilities routinely collect d...

0 Rafael Vescovi, et al. ∙

research

∙ 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...

0 Rafael Ferreira da Silva, et al. ∙

research

∙ 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...

17 Logan Ward, et al. ∙

research

∙ 10/05/2021

A Community Roadmap for Scientific Workflows Research and Development

The landscape of workflow systems for scientific applications is notorio...

0 Rafael Ferreira da Silva, et al. ∙

research

∙ 09/24/2021

Extreme Scale Survey Simulation with Python Workflows

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) wil...

0 A. S. Villarreal, et al. ∙

research

∙ 08/30/2021

ExaWorks: Workflows for Exascale

Exascale computers will offer transformative capabilities to combine dat...

0 Aymen Al Saadi, et al. ∙

research

∙ 07/04/2021

KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks

Kronecker-factored Approximate Curvature (K-FAC) has recently been shown...

15 J. Gregory Pauloski, et al. ∙

research

∙ 07/01/2021

Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications

The user-facing components of the Cyberinfrastructure (CI) ecosystem, sc...

0 Joe Stubbs, et al. ∙

research

∙ 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...

0 Rafael Ferreira da Silva, et al. ∙

research

∙ 05/27/2021

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms

Executing scientific workflows with heterogeneous tasks on HPC platforms...

0 Aymen Alsaadi, et al. ∙

research

∙ 03/16/2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together

Scientific workflows have been used almost universally across scientific...

0 Rafael Ferreira da Silva, et al. ∙

research

∙ 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...

14 Zhi Hong, et al. ∙

research

∙ 10/16/2020

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis

Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce...

11 Maksim Levental, et al. ∙

research

∙ 10/13/2020

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads

The drug discovery process currently employed in the pharmaceutical indu...

0 Aymen Al Saadi, et al. ∙

research

∙ 08/31/2020

The Data Station: Combining Data, Compute, and Market Forces

This paper introduces Data Stations, a new data architecture that we are...

0 Raul Castro Fernandez, et al. ∙

research

∙ 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...

57 Yadu Babuji, et al. ∙

research

∙ 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...

0 Kyle Chard, et al. ∙

research

∙ 05/07/2020

funcX: A Federated Function Serving Fabric for Science

Exploding data volumes and velocities, new computational methods and pla...

0 Ryan Chard, et al. ∙

research

∙ 11/26/2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning

Multi-messenger astrophysics is a fast-growing, interdisciplinary field ...

0 E. A. Huerta, et al. ∙

research

∙ 08/14/2019

Serverless Supercomputing: High Performance Function as a Service for Science

Growing data volumes and velocities are driving exciting new methods acr...

0 Ryan Chard, et al. ∙

research

∙ 05/06/2019

Parsl: Pervasive Parallel Programming in Python

High-level programming languages such as Python are increasingly used to...

0 Yadu Babuji, et al. ∙

research

∙ 02/10/2019

Cloud Futurology

The Cloud has become integral to most Internet-based applications and us...

0 Blesson Varghese, et al. ∙

research

∙ 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...

0 Gabrielle Allen, et al. ∙

research

∙ 11/27/2018

DLHub: Model and Data Serving for Science

While the Machine Learning (ML) landscape is evolving rapidly, there has...

0 Ryan Chard, et al. ∙

research

∙ 10/13/2018

Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories

As scientific data repositories and filesystems grow in size and complex...

0 Luann Jung, et al. ∙

research

∙ 05/01/2018

Computing Environments for Reproducibility: Capturing the "Whole Tale"

The act of sharing scientific knowledge is rapidly evolving away from tr...

0 Adam Brinckman, et al. ∙

Kyle Chard

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