Ana Gainaru

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 30

Top Topics

Data Compression

Tertiary Storage

List Scheduling

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

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
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR (2024)
Wes Brewer, Ana Gainaru, Frédéric Suter, Feiyi Wang, Murali Emani, Shantenu Jha
AI-coupled HPC Workflow Applications, Middleware and Performance. CoRR (2024)
William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter
Julia as a unifying end-to-end workflow language on the Frontier exascale system. SC Workshops (2023)
William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter
Julia as a unifying end-to-end workflow language on the Frontier exascale system. CoRR (2023)
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
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24 (2023)
Frédéric Suter, Rafael Ferreira da Silva, Ana Gainaru, Scott Klasky
Driving Next-Generation Workflows from the Data Plane. e-Science (2023)
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC (2023)
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
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER (2022)
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
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield
Adaptive Generation of Training Data for ML Reduced Model Creation. Big Data (2022)
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC (2022)
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
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC (2021)
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
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR (2021)
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC (2021)
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
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR (2021)
Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. SMC (2021)
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez
Profiles of Upcoming HPC Applications and Their Impact on Reservation Strategies. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun
Reservation and Checkpointing Strategies for Stochastic Jobs. IPDPS (2020)
Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. SBAC-PAD (2020)
Ana Gainaru, Guillaume Pallez
Making Speculative Scheduling Robust to Incomplete Data. ScalA@SC (2019)
Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun
Reservation Strategies for Stochastic Jobs. IPDPS (2019)
Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre
I/O Scheduling Strategy for Periodic Applications. ACM Trans. Parallel Comput. 6 (2) (2019)
Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan
Speculative Scheduling for Stochastic HPC Applications. ICPP (2019)
Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. IPDPS (2018)
Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre
Periodic I/O scheduling for super-computers. CoRR (2017)
Guillaume Aupy, Ana Gainaru, Valentin Le Fèvre
Periodic I/O Scheduling for Super-Computers. PMBS@SC (2017)
Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir
Reducing Waste in Extreme Scale Systems through Introspective Analysis. IPDPS (2016)
Ana Gainaru, Richard L. Graham, Artem Polyakov, Gilad Shainer
Using InfiniBand Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All. EuroMPI (2016)
Ana Gainaru, Guillaume Aupy, Anne Benoit, Franck Cappello, Yves Robert, Marc Snir
Scheduling the I/O of HPC Applications Under Congestion. IPDPS (2015)
Mohamed-Slim Bouguerra, Ana Gainaru, Leonardo Arturo Bautista-Gomez, Franck Cappello, Satoshi Matsuoka, Naoya Maruyama
Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing. IPDPS (2013)
Ana Gainaru, Franck Cappello, Marc Snir, William Kramer
Failure prediction for HPC systems and applications: Current situation and open issues. Int. J. High Perform. Comput. Appl. 27 (3) (2013)
Ana Gainaru, Franck Cappello, Marc Snir, William Kramer
Fault prediction under the microscope: a closer look into HPC systems. SC (2012)
Ana Gainaru, Franck Cappello, William Kramer
Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems. IPDPS (2012)
Ana Gainaru, Emil Slusanschi, Stefan Trausan-Matu
Mapping Data Mining Algorithms on a GPU Architecture: A Study. ISMIS (2011)
Eric Martin Heien, Derrick Kondo, Ana Gainaru, Dan Lapine, Bill Kramer, Franck Cappello
Modeling and tolerating heterogeneous failures in large parallel systems. SC (2011)
Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, Bill Kramer
Event Log Mining Tool for Large Scale HPC Systems. Euro-Par (1) (2011)
Ana Gainaru, Emil Slusanschi
Framework for Mapping Data Mining Applications on GPUs. ISPDC (2011)
Ana Gainaru, Ciprian Dobre, Valentin Cristea
A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs. VTC Spring (2009)