Kyle Chard

Orcid: 0000-0002-7370-4805

According to our database1, Kyle Chard authored at least 225 papers between 2005 and 2024.

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Bibliography

2024
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis.
ACM J. Data Inf. Qual., June, 2024

SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems.
J. Parallel Distributed Comput., 2024

X-OpenMP - eXtreme fine-grained tasking using lock-less work stealing.
Future Gener. Comput. Syst., 2024

QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing.
Future Gener. Comput. Syst., 2024

The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.
Future Gener. Comput. Syst., 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
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CoRR, 2024

SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques.
CoRR, 2024

Accelerating Python Applications with Dask and ProxyStore.
CoRR, 2024

Mitigating Memorization In Language Models.
CoRR, 2024

Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning.
CoRR, 2024

Employing Artificial Intelligence to Steer Exascale Workflows with Colmena.
CoRR, 2024

ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies.
CoRR, 2024

Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing.
CoRR, 2024

Object Proxy Patterns for Accelerating Distributed Applications.
CoRR, 2024

GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.
CoRR, 2024

Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study.
CoRR, 2024

FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework.
CoRR, 2024

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments.
CoRR, 2024

Combining Language and Graph Models for Semi-structured Information Extraction on the Web.
CoRR, 2024

Comprehensive Exploration of Synthetic Data Generation: A Survey.
CoRR, 2024

Zero Code and Infrastructure Research Data Portals.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Towards Fine-Grained Parallelism in Parallel and Distributed Python Libraries.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.
Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024

An End-to-End Programming Model for AI Engine Architectures.
Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications.
IEEE Instrum. Meas. Mag., December, 2023

Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl.
IEEE Trans. Parallel Distributed Syst., May, 2023

Globus automation services: Research process automation across the space-time continuum.
Future Gener. Comput. Syst., May, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data).
Dataset, February, 2023

Rural AI: Serverless-Powered Federated Learning for Remote Applications.
IEEE Internet Comput., 2023

Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.
CoRR, 2023

Towards a Modular Architecture for Science Factories.
CoRR, 2023

NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling.
CoRR, 2023

nelli: a lightweight frontend for MLIR.
CoRR, 2023

The Changing Role of RSEs over the Lifetime of Parsl.
CoRR, 2023

Hierarchical and Decentralised Federated Learning.
CoRR, 2023

Workflows Community Summit 2022: A Roadmap Revolution.
CoRR, 2023

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science.
CoRR, 2023

Active Research Data Management with the Django Globus Portal Framework.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Maximizing Data Utility for HPC Python Workflow Execution.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Accelerating Communications in Federated Applications with Transparent Object Proxies.
Proceedings of the International Conference for High Performance Computing, 2023

Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Tournament-Based Pretraining to Accelerate Federated Learning.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Balancing Federated Learning Trade-Offs for Heterogeneous Environments.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

MatPropXtractor: Generate to Extract.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Can Automated Metadata Extraction Make Scientific Data More Navigable?
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Lazy Python Dependency Management in Large-Scale Systems.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

An Efficient and Accurate Compression Ratio Estimation Model for SZx.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

An Empirical Study of Container Image Configurations and Their Impact on Start Times.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

The Diminishing Returns of Masked Language Models to Science.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Deep Neural Network Training With Distributed K-FAC.
IEEE Trans. Parallel Distributed Syst., 2022

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst., 2022

$f$funcX: Federated Function as a Service for Science.
IEEE Trans. Parallel Distributed Syst., 2022

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow.
Proc. VLDB Endow., 2022

Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns, 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model., 2022

funcX: Federated Function as a Service for Science.
CoRR, 2022

FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy.
CoRR, 2022

ScholarBERT: Bigger is Not Always Better.
CoRR, 2022

Extended Abstract: Productive Parallel Programming with Parsl.
CoRR, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
CoRR, 2022

Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows.
CoRR, 2022

Greedy Nominator Heuristic: Virtual function placement on fog resources.
Concurr. Comput. Pract. Exp., 2022

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms.
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage.
Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

Assessing the Current State of AWS Spot Market Forecastability.
Proceedings of the IEEE/ACM International Workshop on Interoperability of Supercomputing and Cloud Technologies, 2022

Models and Metrics for Mining Meaningful Metadata.
Proceedings of the Computational Science - ICCS 2022, 2022

HiPS2022: The 2nd Workshop on High Performance Serverless Computing.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Automated metadata extraction: challenges and opportunities.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

FLoX: Federated Learning with FaaS at the Edge.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

Adaptive Edge-Cloud Environments for Rural AI.
Proceedings of the IEEE International Conference on Services Computing, 2022

2021
DLHub: Simplifying publication, discovery, and use of machine learning models in science.
J. Parallel Distributed Comput., 2021

ExaWorks: Workflows for Exascale.
CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021

AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text.
CoRR, 2021


Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

ExaWorks: Workflows for Exascale.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity.
Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

KAISA: an adaptive second-order optimizer framework for deep neural networks.
Proceedings of the International Conference for High Performance Computing, 2021

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Enabling Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures.
Proceedings of the 29th International Symposium on Modeling, 2021

Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021


A Serverless Framework for Distributed Bulk Metadata Extraction.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost.
Proceedings of the HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, 2021

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Extreme Scale Survey Simulation with Python Workflows.
Proceedings of the 17th IEEE International Conference on eScience, 2021

An Empirical Study of Package Dependencies and Lifetimes in Binder Python Containers.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Ultrafast Focus Detection for Automated Microscopy.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Gold Panning: Automatic Extraction of Scientific Information from Publications.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Federated Function as a Service for eScience.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
The Data Station: Combining Data, Compute, and Market Forces.
CoRR, 2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.
CoRR, 2020

Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications.
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

An Open Ecosystem for Pervasive Use of Persistent Identifiers.
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

OAuth SSH with Globus Auth.
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis.
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

SciNER: Extracting Named Entities from Scientific Literature.
Proceedings of the Computational Science - ICCS 2020, 2020

funcX: A Federated Function Serving Fabric for Science.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019
Co-Operative Resource Allocation: Building an Open Cloud Market Using Shared Infrastructure.
IEEE Trans. Cloud Comput., 2019

Computing environments for reproducibility: Capturing the "Whole Tale".
Future Gener. Comput. Syst., 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

Serverless Supercomputing: High Performance Function as a Service for Science.
CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
CoRR, 2019

Cloud Futurology.
Computer, 2019

Publishing and Serving Machine Learning Models with DLHub.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Scalable Parallel Programming in Python with Parsl.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Petrel: A Programmatically Accessible Research Data Service.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Big Data Bags: A Scalable Packaging Format for Science.
Proceedings of Workshop on Research Objects (RO2019), 2019

Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform.
Proceedings of the Parallel Computing: Technology Trends, 2019

Serverless Workflows for Indexing Large Scientific Data.
Proceedings of the 5th International Workshop on Serverless Computing, 2019

DLHub: Model and Data Serving for Science.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.
Proceedings of the Computational Science - ICCS 2019, 2019

Implementing Computational Reproducibility in the Whole Tale Environment.
Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Deconstructing the 2017 Changes to AWS Spot Market Pricing.
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019

Parsl: Pervasive Parallel Programming in Python.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

Active Learning Yields Better Training Data for Scientific Named Entity Recognition.
Proceedings of the 15th International Conference on eScience, 2019

Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses.
Proceedings of the 15th International Conference on eScience, 2019

Serverless Science for Simple, Scalable, and Shareable Scholarship.
Proceedings of the 15th International Conference on eScience, 2019

FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

ParaOpt: Automated Application Parameterization and Optimization for the Cloud.
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Scalable pCT Image Reconstruction Delivered as a Cloud Service.
IEEE Trans. Cloud Comput., 2018

Measuring Swampiness: Quantifying Chaos in Large Heterogeneous Data Repositories.
CoRR, 2018

Globus Platform Services for Data Publication.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

Profiling and Predicting Application Performance on the Cloud.
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018

Draining the Data Swamp: A Similarity-based Approach.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

Reproducible big data science: A case study in continuous FAIRness.
Proceedings of Workshop on Research Objects (RO2018), 2018

Parsl: Scalable Parallel Scripting in Python.
Proceedings of the 10th International Workshop on Science Gateways, 2018

High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Predicting Amazon Spot Prices with LSTM Networks.
Proceedings of the 9th Workshop on Scientific Cloud Computing, 2018

Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
The Modern Research Data Portal: A design pattern for networked, data-intensive science.
PeerJ Prepr., 2017

Enabling Interactive Analytics of Secure Data using Cloud Kotta.
CoRR, 2017

A social content delivery network for e-Science.
Concurr. Comput. Pract. Exp., 2017

Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service.
IEEE Cloud Comput., 2017

Globus: Research Data Management as Service and Platform.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Probabilistic guarantees of execution duration for Amazon spot instances.
Proceedings of the International Conference for High Performance Computing, 2017

Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure.
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

Ripple: Home Automation for Research Data Management.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

Software Defined Cyberinfrastructure.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Software Defined Cyberinfrastructure for Data Management.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Safe Collections and Stewardship on Cloud Kotta.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Toward Scalable Indexing and Search on Distributed and Unstructured Data.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Guest Editors Introduction: Special Issue on Scientific Cloud Computing.
IEEE Trans. Cloud Comput., 2016

Globus Nexus: A Platform-as-a-Service provider of research identity, profile, and group management.
Future Gener. Comput. Syst., 2016

Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments.
CoRR, 2016

Globus: Recent Enhancements and Future Plans.
Proceedings of the XSEDE16 Conference on Diversity, 2016

Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data.
Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016

An Ensemble-Based Recommendation Engine for Scientific Data Transfers.
Proceedings of the Seventh International Workshop on Data-Intensive Computing in the Clouds, 2016

A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature.
Proceedings of the International Conference on Computational Science 2016, 2016

The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering, 2016

Globus auth: A research identity and access management platform.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

A secure data enclave and analytics platform for social scientists.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

An Automated Tool Profiling Service for the Cloud.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Cloud Kotta: Enabling secure and scalable data analytics in the cloud.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Big biomedical data as the key resource for discovery science.
J. Am. Medical Informatics Assoc., 2015

The Globus Galaxies platform: delivering science gateways as a service.
Concurr. Comput. Pract. Exp., 2015

Globus platform-as-a-service for collaborative science applications.
Concurr. Comput. Pract. Exp., 2015

Social Clouds: A Retrospective.
IEEE Cloud Comput., 2015

A Deadline Constrained Critical Path Heuristic for Cost-Effectively Scheduling Workflows.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Using Active Data to Provide Smart Data Surveillance to E-Science Users.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Assessing the Scale of Challenges for Preserving Research Data.
Proceedings of the 12th International Conference on Digital Preservation, 2015

Globus Data Publication as a Service: Lowering Barriers to Reproducible Science.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Cost-Aware Cloud Provisioning.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Big Data Remote Access Interfaces for Light Source Science.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

Cost-Aware Elastic Cloud Provisioning for Scientific Workloads.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
A Social Compute Cloud: Allocating and Sharing Infrastructure Resources via Social Networks.
IEEE Trans. Serv. Comput., 2014

Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses.
J. Biomed. Informatics, 2014

Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services.
Concurr. Comput. Pract. Exp., 2014

Efficient and Secure Transfer, Synchronization, and Sharing of Big Data.
IEEE Cloud Comput., 2014

A cloud-based image analysis gateway for traumatic brain injury research.
Proceedings of the 9th Gateway Computing Environments Workshop, 2014

Benchmarking cloud-based tagging services.
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Networking Materials Data: Accelerating Discovery at Experimental Facilities.
Proceedings of the Big Data and High Performance Computing, 2014

On Replica Placement in a Social CDN for e-Science.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

Globus Nexus: Research Identity, Profile, and Group Management as a Service.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013
High Performance Resource Allocation Strategies for Computational Economies.
IEEE Trans. Parallel Distributed Syst., 2013

eScience in the Social Cloud.
Future Gener. Comput. Syst., 2013

Co-operative Infrastructures: An Economic Model for Providing Infrastructures for Social Cloud Computing.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Constructing a Social Content Delivery Network for eScience.
Proceedings of the 9th IEEE International Conference on eScience, 2013

Globus Nexus: An identity, profile, and group management platform for science gateways and other collaborative science applications.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Social Cloud Computing: A Vision for Socially Motivated Resource Sharing.
IEEE Trans. Serv. Comput., 2012

Deploying Bioinformatics Workflows on Clouds with Galaxy and Globus Provision.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Experiences in the design and implementation of a Social Cloud for Volunteer Computing.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011
Collaborative eResearch in a Social Cloud.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

A Social Cloud for Public eResearch.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

Scalability and cost of a cloud-based approach to medical NLP.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
High occupancy resource allocation for grid and cloud systems, a study with DRIVE.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Social Cloud: Cloud Computing in Social Networks.
Proceedings of the IEEE International Conference on Cloud Computing, 2010

2009
Scientific Workflows as Services in caGrid: A Taverna and gRAVI Approach.
Proceedings of the IEEE International Conference on Web Services, 2009

Wrap Scientific Applications as WSRF Grid Services Using gRAVI.
Proceedings of the IEEE International Conference on Web Services, 2009

2008
Build Grid Enabled Scientific Workflows Using gRAVI and Taverna.
Proceedings of the Fourth International Conference on e-Science, 2008

A Distributed Economic Meta-scheduler for the Grid.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2005
Efficient dynamic resource specifications.
Proceedings of the 6th International Conference on Mobile Data Management (MDM 2005), 2005

Fine Grained Resource Reservation and Management in Grid Economics.
Proceedings of The 2005 International Conference on Grid Computing and Applications, 2005


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