Philip H. Carns

Orcid: 0000-0002-3963-9923

According to our database1, Philip H. Carns authored at least 89 papers between 2000 and 2023.

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Bibliography

2023
Mochi: A Case Study in Translational Computer Science for High-Performance Computing Data Management.
Comput. Sci. Eng., 2023

The I/O Trace Initiative: Building a Collaborative I/O Archive to Advance HPC.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Enabling Agile Analysis of I/O Performance Data with PyDarshan.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

HEPnOS: a Specialized Data Service for High Energy Physics Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023


2022
A Taxonomy of Error Sources in HPC I/O Machine Learning Models.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021
Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332).
Dagstuhl Reports, 2021

It's Time to Talk About HPC Storage: Perspectives on the Past and Future.
Comput. Sci. Eng., 2021

SCTuner: An Autotuner Addressing Dynamic I/O Needs on Supercomputer I/O Subsystems.
Proceedings of the 6th IEEE/ACM International Parallel Data Systems Workshop, 2021

Interpreting Write Performance of Supercomputer I/O Systems with Regression Models.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

SYMBIOSYS: A Methodology for Performance Analysis of Composable HPC Data Services.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

SYMBIOMON: A High-Performance, Composable Monitoring Service.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
Mochi: Composing Data Services for High-Performance Computing Environments.
J. Comput. Sci. Technol., 2020

Ad Hoc File Systems for High-Performance Computing.
J. Comput. Sci. Technol., 2020

Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer.
Future Gener. Comput. Syst., 2020

Advancing RPC for Data Services at Exascale.
IEEE Data Eng. Bull., 2020

Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis.
Proceedings of the Fifth IEEE/ACM International Parallel Data Systems Workshop, 2020

HPC I/O throughput bottleneck analysis with explainable local models.
Proceedings of the International Conference for High Performance Computing, 2020

Keeping It Real: Why HPC Data Services Don't Achieve I/O Microbenchmark Performance.
Proceedings of the Fifth IEEE/ACM International Parallel Data Systems Workshop, 2020

Toward Generalizable Models of I/O Throughput.
Proceedings of the 2020 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers, 2020

Characterization and identification of HPC applications at leadership computing facility.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems.
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

2019
Managing Rich Metadata in High-Performance Computing Systems Using a Graph Model.
IEEE Trans. Parallel Distributed Syst., 2019

Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems.
Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

Understanding Data Motion in the Modern HPC Data Center.
Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

Adaptive Learning for Concept Drift in Application Performance Modeling.
Proceedings of the 48th International Conference on Parallel Processing, 2019

A Zoom-in Analysis of I/O Logs to Detect Root Causes of I/O Performance Bottlenecks.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018
Argobots: A Lightweight Low-Level Threading and Tasking Framework.
IEEE Trans. Parallel Distributed Syst., 2018

Modeling Large-Scale Slim Fly Networks Using Parallel Discrete-Event Simulation.
ACM Trans. Model. Comput. Simul., 2018

A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems.
CoRR, 2018

Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems.
Proceedings of the High Performance Computing - 33rd International Conference, 2018

Tools for Analyzing Parallel I/O.
Proceedings of the High Performance Computing, 2018

Toward Understanding I/O Behavior in HPC Workflows.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

A year in the life of a parallel file system.
Proceedings of the International Conference for High Performance Computing, 2018

Methodology for the Rapid Development of Scalable HPC Data Services.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

SLoG: Large-Scale Logging Middleware for HPC and Big Data Convergence.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

IOMiner: Large-Scale Analytics Framework for Gaining Knowledge from I/O Logs.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

Modeling I/O Performance Variability Using Conditional Variational Autoencoders.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Enabling Parallel Simulation of Large-Scale HPC Network Systems.
IEEE Trans. Parallel Distributed Syst., 2017

UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis.
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2017

Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

ScalaIOExtrap: Elastic I/O Tracing and Extrapolation.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

A Case Study in Computational Caching Microservices for HPC.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Quantifying I/O and Communication Traffic Interference on Dragonfly Networks Equipped with Burst Buffers.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data?
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Lightweight Provenance Service for High-Performance Computing.
Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016
An asynchronous traversal engine for graph-based rich metadata management.
Parallel Comput., 2016

Modular HPC I/O Characterization with Darshan.
Proceedings of the 5th Workshop on Extreme-Scale Programming Tools, 2016

Visual Data-Analytics of Large-Scale Parallel Discrete-Event Simulations.
Proceedings of the 7th International Workshop on Performance Modeling, 2016

Modeling a Million-Node Slim Fly Network Using Parallel Discrete-Event Simulation.
Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation, 2016

A Case Study in Using Discrete-Event Simulation to Improve the Scalability of MG-RAST.
Proceedings of the 2016 annual ACM Conference on SIGSIM Principles of Advanced Discrete Simulation, 2016

Enabling NVM for Data-Intensive Scientific Services.
Proceedings of the 4th Workshop on Interactions of NVM/Flash with Operating Systems and Workloads, 2016

Impact of data placement on resilience in large-scale object storage systems.
Proceedings of the 32nd Symposium on Mass Storage Systems and Technologies, 2016

GraphMeta: A Graph-Based Engine for Managing Large-Scale HPC Rich Metadata.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
A Remote Procedure Call Approach for Extreme-scale Services.
CoRR, 2015

Time warp state restoration via delta encoding.
Proceedings of the 2015 Winter Simulation Conference, 2015

Techniques for modeling large-scale HPC I/O workloads.
Proceedings of the 6th International Workshop on Performance Modeling, 2015

HPC I/O trace extrapolation.
Proceedings of the 4th Workshop on Extreme Scale Programming Tools, 2015

A Multiplatform Study of I/O Behavior on Petascale Supercomputers.
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

GraphTrek: Asynchronous Graph Traversal for Property Graph-Based Metadata Management.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
Using massively parallel simulation for MPI collective communication modeling in extreme-scale networks.
Proceedings of the 2014 Winter Simulation Conference, 2014

Fast Multiresolution Reads of Massive Simulation Datasets.
Proceedings of the Supercomputing - 29th International Conference, 2014

A Case for Epidemic Fault Detection and Group Membership in HPC Storage Systems.
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

Efficient I/O and Storage of Adaptive-Resolution Data.
Proceedings of the International Conference for High Performance Computing, 2014

Using property graphs for rich metadata management in HPC systems.
Proceedings of the 9th Parallel Data Storage Workshop, 2014

A case study in using massively parallel simulation for extreme-scale torus network codesign.
Proceedings of the SIGSIM Principles of Advanced Discrete Simulation, 2014

FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Characterization and modeling of PIDX parallel I/O for performance optimization.
Proceedings of the International Conference for High Performance Computing, 2013

Toward a unified object storage foundation for scalable storage systems.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Model and simulation of exascale communication networks.
J. Simulation, 2012

Modeling a Million-Node Dragonfly Network Using Massively Parallel Discrete-Event Simulation.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Efficient data restructuring and aggregation for I/O acceleration in PIDX.
Proceedings of the SC Conference on High Performance Computing Networking, 2012

A Case for Optimistic Coordination in HPC Storage Systems.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

AESOP: Expressing Concurrency in High-Performance System Software.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

On the role of burst buffers in leadership-class storage systems.
Proceedings of the IEEE 28th Symposium on Mass Storage Systems and Technologies, 2012

2011
Understanding and Improving Computational Science Storage Access through Continuous Characterization.
ACM Trans. Storage, 2011

Poster: FLAMBES: evolving fast performance models.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

Modeling a Leadership-Scale Storage System.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010
Enabling active storage on parallel I/O software stacks.
Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies, 2010

2009
I/O performance challenges at leadership scale.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

Small-file access in parallel file systems.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

24/7 Characterization of petascale I/O workloads.
Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

Scalable I/O forwarding framework for high-performance computing systems.
Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

2008
Using server-to-server communication in parallel file systems to simplify consistency and improve performance.
Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

2005
BMI: A Network Abstraction Layer for Parallel I/O.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

2004
On the Performance of the POSIX I/O Interface to PVFS.
Proceedings of the 12th Euromicro Workshop on Parallel, 2004

2000
PVFS: A Parallel File System for Linux Clusters.
Proceedings of the 4th Annual Linux Showcase & Conference 2000, 2000


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