Scott Klasky

Orcid: 0000-0003-3559-5772

According to our database1, Scott Klasky authored at least 236 papers between 1993 and 2024.

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Bibliography

2024
Streaming Data in HPC Workflows Using ADIOS.
CoRR, 2024

Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order.
CoRR, 2024

Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring.
CoRR, 2024

Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models.
CoRR, 2024

Machine Learning Techniques for Data Reduction of Climate Applications.
CoRR, 2024

Machine Learning Techniques for Data Reduction of CFD Applications.
CoRR, 2024

Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O.
Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Scaling Ensembles of Data-Intensive Quantum Chemical Calculations for Millions of Molecules.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

A Personalized AI Assistant For Intuition-Driven Visual Explorations.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

A General Framework for Error-controlled Unstructured Scientific Data Compression.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications.
Proceedings of the Data Compression Conference, 2024

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting.
CoRR, 2023

Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Fast Algorithms for Scientific Data Compression.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Driving Next-Generation Workflows from the Data Plane.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst., 2022

zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
IEEE Trans. Parallel Distributed Syst., 2022

Understanding the Impact of Data Staging for Coupled Scientific Workflows.
IEEE Trans. Parallel Distributed Syst., 2022

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

Identifying challenges and opportunities of in-memory computing on large HPC systems.
J. Parallel Distributed Comput., 2022

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

Scalable Hybrid Learning Techniques for Scientific Data Compression.
CoRR, 2022

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

The Need for Pervasive In Situ Analysis and Visualization (P-ISAV).
Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Exploring Large All-Flash Storage System with Scientific Simulation.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

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

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

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

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

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

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

Fides: A General Purpose Data Model Library for Streaming Data.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
Proceedings of the International Conference for High Performance Computing, 2021

zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

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

2020
Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications.
ACM Trans. Storage, 2020

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

Multilevel Techniques for Compression and Reduction of Scientific Data - The Unstructured Case.
SIAM J. Sci. Comput., 2020

Ad Hoc File Systems for High-Performance Computing.
J. Comput. Sci. Technol., 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

Towards 1ULP evaluation of Daubechies Wavelets.
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

Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy.
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

Leading magnetic fusion energy science into the big-and-fast data lane.
Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

Processing full-scale square kilometre array data on the summit supercomputer.
Proceedings of the International Conference for High Performance Computing, 2020

Taming I/O variation on QoS-less HPC storage: what can applications do?
Proceedings of the International Conference for High Performance Computing, 2020

Near real-time analysis of big fusion data on HPC systems.
Proceedings of the IEEE/ACM HPC for Urgent Decision Making, UrgentHPC@SC 2020, Atlanta, GA, 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

A Comprehensive Study of In-Memory Computing on Large HPC Systems.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 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

2019
Harnessing Data Movement in Virtual Clusters for In-Situ Execution.
IEEE Trans. Parallel Distributed Syst., 2019

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

Multilevel Techniques for Compression and Reduction of Scientific Data-Quantitative Control of Accuracy in Derived Quantities.
SIAM J. Sci. Comput., 2019

Multilevel Techniques for Compression and Reduction of Scientific Data - The Multivariate Case.
SIAM J. Sci. Comput., 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
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.
IEEE Trans. Multi Scale Comput. Syst., 2018

Multilevel techniques for compression and reduction of scientific data - the univariate case.
Comput. Vis. Sci., 2018

Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation.
Proceedings of the High Performance Computing, 2018

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

Querying Large Scientific Data Sets with Adaptable IO System ADIOS.
Proceedings of the Supercomputing Frontiers - 4th Asian Conference, 2018

Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows.
Proceedings of the International Conference for 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

Dense Texture Flow Visualization using Data-Parallel Primitives.
Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018


2017
Personalized Search Inspired Fast Interactive Estimation of Distribution Algorithm and Its Application.
IEEE Trans. Evol. Comput., 2017

Compression Using Lossless Decimation: Analysis and Application.
SIAM J. Sci. Comput., 2017

In-memory staging and data-centric task placement for coupled scientific simulation workflows.
Concurr. Comput. Pract. Exp., 2017

Output Performance Study on a Production Petascale Filesystem.
Proceedings of the High Performance Computing, 2017

On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective.
Proceedings of the High Performance Computing, 2017

Optimizing the query performance of block index through data analysis and I/O modeling.
Proceedings of the International Conference for High Performance Computing, 2017

In Situ Visualization of Radiation Transport Geometry.
Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory.
Proceedings of the 25th IEEE International Symposium on Modeling, 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

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

Predicting Output Performance of a Petascale Supercomputer.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 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

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

Apply Block Index Technique to Scientific Data Analysis and I/O Systems.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data, 2016

Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers.
Supercomput. Front. Innov., 2016

Performance characterization of irregular I/O at the extreme scale.
Parallel Comput., 2016

<i>In Situ</i> Methods, Infrastructures, and Applications on High Performance Computing Platforms.
Comput. Graph. Forum, 2016

In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows.
Proceedings of the Second International Workshop on Extreme Scale Programming Models and Middleware, 2016

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code.
Proceedings of the Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 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

In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses.
Proceedings of the 45th International Conference on Parallel Processing, 2016

Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows.
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016

AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Usage Pattern-Driven Dynamic Data Layout Reorganization.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

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

Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR, 2015

ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing.
Concurr. Comput. Pract. Exp., 2015

The hyperdyadic index and generalized indexing and query with PIQUE.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 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

Adaptive data placement for staging-based coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2015

Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay.
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

Creating a software ecosystem for Data Intensive Science.
Proceedings of the 10th IEEE International Conference on Networking, 2015

Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

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

Exploring Memory Hierarchy to Improve Scientific Data Read Performance.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
Region templates: Data representation and management for high-throughput image analysis.
Parallel Comput., 2014

Region Templates: Data Representation and Management for Large-Scale Image Analysis.
CoRR, 2014

XpressSpace: a programming framework for coupling partitioned global address space simulation codes.
Concurr. Comput. Pract. Exp., 2014

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

neCODEC: nearline data compression for scientific applications.
Clust. Comput., 2014

DIRAQ: scalable in situ data- and resource-aware indexing for optimized query performance.
Clust. Comput., 2014

Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales.
Proceedings of the International Conference for High Performance Computing, 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

Benchmarking the Performance of Scientific Applications with Irregular I/O at the Extreme Scale.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Fast Set Intersection through Run-Time Bitmap Construction over PForDelta-Compressed Indexes.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

Improving Read Performance with Online Access Pattern Analysis and Prefetching.
Proceedings of the Euro-Par 2014 Parallel Processing, 2014

Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

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

Transparent in Situ Data Transformations in ADIOS.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying.
Trans. Large Scale Data Knowl. Centered Syst., 2013

Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures.
Int. J. High Perform. Comput. Appl., 2013

ISABELA for effective in situ compression of scientific data.
Concurr. Comput. Pract. Exp., 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

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

Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.
Proceedings of the International Conference for High Performance Computing, 2013

Exploring power behaviors and trade-offs of in-situ data analytics.
Proceedings of the International Conference for High Performance Computing, 2013

DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis.
Proceedings of the IEEE Eighth International Conference on Networking, 2013

A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics.
Proceedings of the IEEE 29th Symposium on Mass Storage Systems and Technologies, 2013

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

High-throughput Analysis of Large Microscopy Image Datasets on CPU-GPU Cluster Platforms.
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

Profiling and Improving I/O Performance of a Large-Scale Climate Scientific Application.
Proceedings of the 22nd International Conference on Computer Communication and Networks, 2013

Runtime I/O Re-Routing + Throttling on HPC Storage.
Proceedings of the 5th USENIX Workshop on Hot Topics in Storage and File Systems, 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

Performance Impact of I/O on QMCPack Simulations at the Petascale and Beyond.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 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

PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012
DataSpaces: an interaction and coordination framework for coupled simulation workflows.
Clust. Comput., 2012

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

Characterizing output bottlenecks in a supercomputer.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Byte-precision level of detail processing for variable precision analytics.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

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

Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

Multi-level Layout Optimization for Efficient Spatio-temporal Queries on ISABELA-compressed Data.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

MLOC: Multi-level Layout Optimization Framework for Compressed Scientific Data Exploration with Heterogeneous Access Patterns.
Proceedings of the 41st International Conference on Parallel Processing, 2012

ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 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

ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

A scalable messaging system for accelerating discovery from large scale scientific simulations.
Proceedings of the 19th International Conference on High Performance Computing, 2012

Spatiotemporal data mining in the era of big spatial data: algorithms and applications.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 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

Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying.
Proceedings of the Database and Expert Systems Applications, 2012

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


2011
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data.
Proceedings of the Conference on High Performance Computing Networking, 2011

Parallel in situ indexing for data-intensive computing.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

Efficient GPU Implementation for Particle in Cell Algorithm.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Moving the Code to the Data - Dynamic Code Deployment Using ActiveSpaces.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy.
Proceedings of the 11th IEEE International Conference on Data Mining, 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

Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 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

EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

Enabling Multi-physics Coupled Simulations within the PGAS Programming Framework.
Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011

2010
Enabling high-speed asynchronous data extraction and transfer using DART.
Concurr. Comput. Pract. Exp., 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

EFFIS: An End-to-end Framework for Fusion Integrated Simulation.
Proceedings of the 18th Euromicro Conference on Parallel, 2010

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

Collaborative monitoring and analysis for simulation scientists.
Proceedings of the 2010 International Symposium on Collaborative Technologies and Systems, 2010

Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009
Tracking Files in the Kepler Provenance Framework.
Proceedings of the Scientific and Statistical Database Management, 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

Adaptable, metadata rich IO methods for portable high performance IO.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System.
Proceedings of the Fifth International Conference on e-Science, 2009

Collaboration portal for petascale simulations.
Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems, 2009

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

Scientific Process Automation and Workflow Management.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

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

2008
DART: a substrate for high speed asynchronous data IO.
Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC-17 2008), 2008

Collaborative visualization spaces for petascale simulations.
Proceedings of the 2008 International Symposium on Collaborative Technologies and Systems, 2008

Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS).
Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments, 2008

2007
A self-managing wide-area data streaming service.
Clust. Comput., 2007

Using MPI file caching to improve parallel write performance for large-scale scientific applications.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

Workflow automation for processing plasma fusion simulation data.
Proceedings of the 2nd workshop on Workflows in support of large-scale science, 2007

Experiments with in-transit processing for data intensive grid workflows.
Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (GRID 2007), 2007

2006
S04 - Introduction to scientific workflow management and the Kepler system.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

Ultra-scale visualization - Workshop on ultra-scale visualization.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006


The Center for Plasma Edge Simulation Workflow Requirements.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Experiments with Wide Area Data Coupling Using the Seine Coupling Framework.
Proceedings of the High Performance Computing, 2006

A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control.
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006

2005
Grid Support for Collaborative Control Room in Fusion Science.
Clust. Comput., 2005

An autonomic service architecture for self-managing grid applications.
Proceedings of the 6th IEEE/ACM International Conference on Grid Computing (GRID 2005), 2005

2004
Visualizing Gyrokinetic Simulations.
Proceedings of the 15th IEEE Visualization Conference, 2004

High Performance Threaded Data Streaming for Large Scale Simulations.
Proceedings of the 5th International Workshop on Grid Computing (GRID 2004), 2004

Grids for Experimental Science: The Virtual Control Room.
Proceedings of the 2nd International Workshop on Challenges of Large Applications in Distributed Environments, 2004

2003
Grid -Based Parallel Data Streaming implemented for the Gyrokinetic Toroidal Code.
Proceedings of the ACM/IEEE SC2003 Conference on High Performance Networking and Computing, 2003

1998
Scivis.
Concurr. Pract. Exp., 1998

1997
Collaborative Scientific Data Visualization.
Concurr. Pract. Exp., 1997

HPF for Numerical Relativity.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

1993
Visualizing Complex Patterns in the Spread of Head and Neck Cancers.
Int. J. High Perform. Comput. Appl., 1993


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