Ana Gainaru

According to our database, Ana Gainaru authored at least 35 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky

SoftwareX, December, 2023

Julia as a unifying end-to-end workflow language on the Frontier exascale system.

William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.

Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Driving Next-Generation Workflows from the Data Plane.

Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.

Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky

IEEE Trans. Parallel Distributed Syst., 2022

Understanding the Impact of Data Staging for Coupled Scientific Workflows.

Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky

IEEE Trans. Parallel Distributed Syst., 2022

Message from the DRBSD-8 Workshop Chairs.

Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.

Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky

Proceedings of the IEEE International Conference on Cluster Computing, 2022

Adaptive Generation of Training Data for ML Reduced Model Creation.

Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Profiles of Upcoming HPC Applications and Their Impact on Reservation Strategies.

Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez

IEEE Trans. Parallel Distributed Syst., 2021

Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.

Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl

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.

Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky

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.

Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

2020

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead.

Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Reservation and Checkpointing Strategies for Stochastic Jobs.

Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

I/O Scheduling Strategy for Periodic Applications.

Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre

ACM Trans. Parallel Comput., 2019

On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows.

Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan

Int. J. High Perform. Comput. Appl., 2019

Making Speculative Scheduling Robust to Incomplete Data.

Ana Gainaru, Guillaume Pallez

Proceedings of the 10th IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2019

Reservation Strategies for Stochastic Jobs.

Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Speculative Scheduling for Stochastic HPC Applications.

Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling.

Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017

Periodic I/O Scheduling for Super-Computers.

Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2017

2016

Using InfiniBand Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All.

Ana Gainaru, Richard L. Graham, Artem Y. Polyakov, Gilad Shainer

Proceedings of the 23rd European MPI Users' Group Meeting, EuroMPI 2016, 2016

Reducing Waste in Extreme Scale Systems through Introspective Analysis.

Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

Failure avoidance techniques for HPC systems based on failure prediction

Ana Gainaru

PhD thesis, 2015

Scheduling the I/O of HPC Applications Under Congestion.

Ana Gainaru, Guillaume Aupy, Anne Benoit, Franck Cappello, Yves Robert, Marc Snir

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2013

Failure prediction for HPC systems and applications: Current situation and open issues.

Ana Gainaru, Franck Cappello, Marc Snir, William Kramer

Int. J. High Perform. Comput. Appl., 2013

Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing.

Mohamed-Slim Bouguerra, Ana Gainaru, Leonardo Arturo Bautista-Gomez, Franck Cappello, Satoshi Matsuoka, Naoya Maruyama

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2012

Fault prediction under the microscope: a closer look into HPC systems.

Ana Gainaru, Franck Cappello, Marc Snir, William Kramer

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems.

Ana Gainaru, Franck Cappello, William Kramer

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011

Modeling and tolerating heterogeneous failures in large parallel systems.

Eric Martin Heien, Derrick Kondo, Ana Gainaru, Dan Lapine, Bill Kramer, Franck Cappello

Proceedings of the Conference on High Performance Computing Networking, 2011

Framework for Mapping Data Mining Applications on GPUs.

Ana Gainaru, Emil Slusanschi

Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011

Mapping Data Mining Algorithms on a GPU Architecture: A Study.

Ana Gainaru, Emil Slusanschi, Stefan Trausan-Matu

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Event Log Mining Tool for Large Scale HPC Systems.

Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, Bill Kramer

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2009

A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs.

Ana Gainaru, Ciprian Dobre, Valentin Cristea

Proceedings of the 69th IEEE Vehicular Technology Conference, 2009