Norbert Podhorszki

Orcid: 0000-0001-9647-542X

According to our database1, Norbert Podhorszki authored at least 133 papers between 1998 and 2024.

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Bibliography

2024
A framework for compressing unstructured scientific data via serialization.
CoRR, 2024

AI Surrogate Model for Distributed Computing Workloads.
CoRR, 2024

Streaming Data in HPC Workflows Using ADIOS.
CoRR, 2024

FunM<sup>2</sup>C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices.
Proceedings of the IEEE Workshop on Uncertainty Visualization: Applications, 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

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
Proceedings of the International Conference for High Performance Computing, 2024

Tango: A Cross-layer Approach to Managing I/O Interference over Local Ephemeral Storage.
Proceedings of the International Conference for High Performance Computing, 2024

Towards Resilient Near Real-Time Analysis Workflows in Fusion Energy Science.
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

Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring.
Proceedings of the IEEE International Conference on Cluster Computing, 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

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

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

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

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
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

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

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

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

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

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

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

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

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

2018
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data.
IEEE Trans. Multi Scale Comput. Syst., 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

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


2017
Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 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

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

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

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

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

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

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

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

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

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

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
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows.
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

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

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
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

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

A system-aware optimized data organization for efficient scientific analytics.
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

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

Skel: Generative Software for Producing Skeletal I/O Applications.
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

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
Analysis of the multi-phase copying garbage collection algorithm.
Int. J. Comput. Sci. Eng., 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

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

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

2008
Special Issue: The First Provenance Challenge.
Concurr. Comput. Pract. Exp., 2008

From computation models to models of provenance: the RWS approach.
Concurr. Comput. Pract. Exp., 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
SZTAKI Desktop Grid: a Modular and Scalable Way of Building Large Computing Grids.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

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

2006
Scalable Desktop Grid System.
Proceedings of the High Performance Computing for Computational Science, 2006


Scientific Workflows: More e-Science Mileage from Cyberinfrastructure.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

2005
The CanonicalProducer: An instrument monitoring component of the Relational Grid Monitoring Architecture (R-GMA).
Sci. Program., 2005


2004
The Relational Grid Monitoring Architecture: Mediating Information about the Grid.
J. Grid Comput., 2004

The CanonicalProducer: An Instrument Monitoring Component of the Relational Grid Monitoring Architecture (R-GMA).
Proceedings of the 3rd International Symposium on Parallel and Distributed Computing (ISPDC 2004), 2004

Monitoring Message-Passing Parallel Applications in the Grid with GRM and Mercury Monitor.
Proceedings of the Grid Computing, 2004

Workflow Support for Complex Grid Applications: Integrated and Portal Solutions.
Proceedings of the Grid Computing, 2004

2003
Parallel, distributed and network-based processing.
J. Syst. Archit., 2003

P-GRADE: A Grid Programming Environment.
J. Grid Comput., 2003

Relational Grid Monitoring Architecture (R-GMA)
CoRR, 2003

R-GMA: First results after deployment
CoRR, 2003

Monitoring Message Passing Applications in the Grid with GRM and R-GMA.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface,10th European PVM/MPI Users' Group Meeting, Venice, Italy, September 29, 2003

Prewsentation and Analysis of Grid Performance Data.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

Demonstration of P-GRADE Job-Mode for the Grid.
Proceedings of the Euro-Par 2003. Parallel Processing, 2003

R-GMA: An Information Integration System for Grid Monitoring.
Proceedings of the On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, 2003

2001
Semi-on-line Monitoring of P-GRADE Applications.
Parallel Distributed Comput. Pract., 2001

Application Monitoring in the Grid with GRM and PROVE.
Proceedings of the Computational Science - ICCS 2001, 2001

From Cluster Monitoring to Grid Monitoring Based on GRM.
Proceedings of the Euro-Par 2001: Parallel Processing, 2001

2000
Logicflow execution model for parallel databases.
Future Gener. Comput. Syst., 2000

1998
Dataflow parallel database systems and LOGFLOW.
Proceedings of the Sixth Euromicro Workshop on Parallel and Distributed Processing, 1998


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