Matthew Wolf

Orcid: 0000-0002-8393-4436

According to our database1, Matthew Wolf authored at least 117 papers between 2002 and 2023.

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Bibliography

2023
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems.
CoRR, 2023

2022
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers, 2022

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022

Vehicle Guidance and Tracking Systems.
CoRR, 2022

A codesign framework for online data analysis and reduction.
Concurr. Comput. Pract. Exp., 2022

Towards a Software Development Framework for Interconnected Science Ecosystems.
Proceedings of the Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, 2022

P-ckpt: Coordinated Prioritized Checkpointing.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

F*** workflows: when parts of FAIR are missing.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021

Campaign Knowledge Network: Building Knowledge for Campaign Efficiency.
CoRR, 2021

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

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2021

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


Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Towards System for Knowledge Representation of Campaign Experimentation.
Proceedings of the 17th IEEE International Conference on eScience, 2021

Reusability First: Toward FAIR Workflows.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020

Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources.
Int. J. High Perform. Comput. Appl., 2020

A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl., 2020

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR, 2020

Opportunities for Cost Savings with In-Transit Visualization.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Visualization as a Service for Scientific Data.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale.
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020

Feature-preserving Lossy Compression for In Situ Data Analysis.
Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

Orchestrating Fault Prediction with Live Migration and Checkpointing.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization.
Proceedings of the 20th Eurographics Symposium on Parallel Graphics and Visualization, 2020

2019
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems?
IEEE Trans. Computers, 2019

Parallel streaming between heterogeneous HPC resources for real-time analysis.
J. Comput. Sci., 2019

MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows.
Future Gener. Comput. Syst., 2019

Comparing the Efficiency of In Situ Visualization Paradigms at Scale.
Proceedings of the High Performance Computing - 34th International Conference, 2019

A Codesign Framework for Online Data Analysis and Reduction.
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

A Vision for Managing Extreme-Scale Data Hoards.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Scalable Performance Awareness for In Situ Scientific Applications.
Proceedings of the 15th International Conference on eScience, 2019

2018
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
Proceedings of the High Performance Computing, 2018

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

LADR: low-cost application-level detector for reducing silent output corruptions.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018


2017
SmartBlock: An Approach to Standardizing In Situ Workflow Components.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Exacution: Enhancing Scientific Data Management for Exascale.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

RBAY: A Scalable and Extensible Information Plane for Federating Distributed Datacenter Resources.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment.
Proceedings of the International Conference on Computational Science, 2017

Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.
Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Introducing Weirs: An Abstraction for Next Generation Streaming Workflows.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
The process of development of a prioritization tool for a clinical decision support build within a computerized provider order entry system: Experiences from St Luke's Health System.
Health Informatics J., 2016

The SENSEI Generic In Situ Interface.
Proceedings of the Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2016

Performance analysis, design considerations, and applications of extreme-scale <i>in situ</i> infrastructures.
Proceedings of the International Conference for High Performance Computing, 2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

GPUShare: Fair-Sharing Middleware for GPU Clouds.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

GraphIn: An Online High Performance Incremental Graph Processing Framework.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016

FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

SuperGlue: Standardizing Glue Components for HPC Workflows.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Landrush: Rethinking In-Situ Analysis for GPGPU Workflows.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery.
Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, 2015

SODA: Science-Driven Orchestration of Data Analytics.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.
Concurr. Comput. Pract. Exp., 2014

Active workflow system for near real-time extreme-scale science.
Proceedings of the first workshop on Parallel programming for analytics applications, 2014

Scibox: Online Sharing of Scientific Data via the Cloud.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Multi-course approaches to curriculum 2013's parallel and distributed computing (abstract only).
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution.
Proceedings of the International Conference for High Performance Computing, 2013

FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Resource Provisioning for Staging Components.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.
Proceedings of the 9th IEEE International Conference on eScience, 2013

FlexQuery: An online query system for interactive remote visual data exploration at large scale.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Sharing incremental approaches for adding parallelism to CS curricula (abstract only).
Proceedings of the 43rd ACM technical symposium on Computer science education, 2012

Quality-Aware Data Management for Large Scale Scientific Applications.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications.
Proceedings of the Middleware 2012, 2012

SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

A system-aware optimized data organization for efficient scientific analytics.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

Understanding I/O Performance Using I/O Skeletal Applications.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

Collaborative monitoring and visualization of HPC data.
Proceedings of the 2012 International Conference on Collaboration Technologies and Systems, 2012


2011
Exploiting Latent I/O Asynchrony in Petascale Science Applications.
Int. J. High Perform. Comput. Appl., 2011

A flexible architecture integrating monitoring and analytics for managing large-scale data centers.
Proceedings of the 8th International Conference on Autonomic Computing, 2011

Six degrees of scientific data: reading patterns for extreme scale science IO.
Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011

Just in time: adding value to the IO pipelines of high performance applications with JITStaging.
Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011

Skel: Generative Software for Producing Skeletal I/O Applications.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

A Type System for High Performance Communication and Computation.
Proceedings of the IEEE 7th International Conference on E-Science, 2011

2010
DataStager: scalable data staging services for petascale applications.
Clust. Comput., 2010

Managing Variability in the IO Performance of Petascale Storage Systems.
Proceedings of the Conference on High Performance Computing Networking, 2010

PreDatA - preparatory data analytics on peta-scale machines.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Managing large-scale utility cloud.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Monalytics: online monitoring and analytics for managing large scale data centers.
Proceedings of the 7th International Conference on Autonomic Computing, 2010

2009
Plasma fusion code coupling using scalable I/O services and scientific workflows.
Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009

Event-based systems: opportunities and challenges at exascale.
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, 2009

Extending I/O through high performance data services.
Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

High Throughput Data Movement.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008
Exploiting Latent I/O Asynchrony in Petascale Science Applications.
Proceedings of the Fourth International Conference on e-Science, 2008

2007
LIVE: : a light-weight data workspace for computational science.
Proceedings of the 16th International Symposium on High-Performance Distributed Computing (HPDC-16 2007), 2007

LIVE data workspace: A flexible, dynamic and extensible platform for petascale applications.
Proceedings of the 2007 IEEE International Conference on Cluster Computing, 2007

2006
IQ-Services: network-aware middleware for interactive large-data applications.
Concurr. Comput. Pract. Exp., 2006

2005
Service Augmentation for High End Interactive Data Services.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

2004
Dynamic Data Access to the GT/CERCS Linux Mirror Site.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

IQ-Services: Resource-Aware Middleware for Heterogeneous Applications.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

StreamGen: A Workload Generation Tool for Distributed Information Flow Applications.
Proceedings of the 33rd International Conference on Parallel Processing (ICPP 2004), 2004

XChange: coupling parallel applications in a dynamic environment.
Proceedings of the 2004 IEEE International Conference on Cluster Computing (CLUSTER 2004), 2004

2003
System-Level Resource Monitoring in High-Performance Computing Environments.
J. Grid Comput., 2003

Resource-Aware Stream Management with the Customizable dproc Distributed Monitoring Mechanisms.
Proceedings of the 12th International Symposium on High-Performance Distributed Computing (HPDC-12 2003), 2003

2002
SmartPointers: personalized scientific data portals in your hand.
Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002

dproc - Extensible Run-Time Resource Monitoring for Cluster Applications.
Proceedings of the Computational Science - ICCS 2002, 2002


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