A Realistic Mobility Model Based on Social Networks for the Simulation of VANETs. - Ana Gainaru; Ciprian Dobre; Valentin Cristea (VTC Spring, 2009)

Event Log Mining Tool for Large Scale HPC Systems. - Ana Gainaru; Franck Cappello; Stefan Trausan-Matu; Bill Kramer 001 (Euro-Par (1), 2011)

Mapping Data Mining Algorithms on a GPU Architecture: A Study. - Ana Gainaru; Emil Slusanschi; Stefan Trausan-Matu (ISMIS, 2011)

Framework for Mapping Data Mining Applications on GPUs. - Ana Gainaru; Emil Slusanschi (ISPDC, 2011)

Modeling and tolerating heterogeneous failures in large parallel systems. - Eric Martin Heien; Derrick Kondo; Ana Gainaru; Dan Lapine; Bill Kramer 001; Franck Cappello (SC, 2011)

Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-scale HPC Systems. - Ana Gainaru; Franck Cappello; William Kramer 001 (IPDPS, 2012)

Fault prediction under the microscope: a closer look into HPC systems. - Ana Gainaru; Franck Cappello; Marc Snir; William Kramer 001 (SC, 2012)

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 (IPDPS, 2013)

Failure prediction for HPC systems and applications: Current situation and open issues. - Ana Gainaru; Franck Cappello; Marc Snir; William Kramer 001 (Int. J. High Perform. Comput. Appl., 2013)

Scheduling the I/O of HPC Applications Under Congestion. - Ana Gainaru; Guillaume Aupy; Anne Benoit; Franck Cappello; Yves Robert; Marc Snir (IPDPS, 2015)

Failure avoidance techniques for HPC systems based on failure prediction - Ana Gainaru (2015)

Reducing Waste in Extreme Scale Systems through Introspective Analysis. - Leonardo Arturo Bautista-Gomez; Ana Gainaru; Swann Perarnau; Devesh Tiwari; Saurabh Gupta 002; Christian Engelmann; Franck Cappello; Marc Snir (IPDPS, 2016)

Using InfiniBand Hardware Gather-Scatter Capabilities to Optimize MPI All-to-All. - Ana Gainaru; Richard L. Graham; Artem Y. Polyakov; Gilad Shainer (EuroMPI, 2016)

Periodic I/O Scheduling for Super-Computers. - Guillaume Aupy; Ana Gainaru; Valentin Le Fèvre (PMBS@SC, 2017)

Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. - Hongyang Sun 001; Redouane Elghazi; Ana Gainaru; Guillaume Aupy; Padma Raghavan (IPDPS, 2018)

Speculative Scheduling for Stochastic HPC Applications. - Ana Gainaru; Guillaume Pallez; Hongyang Sun 001; Padma Raghavan (ICPP, 2019)

Reservation Strategies for Stochastic Jobs. - Guillaume Aupy; Ana Gainaru; Valentin Honoré; Padma Raghavan; Yves Robert; Hongyang Sun 001 (IPDPS, 2019)

Making Speculative Scheduling Robust to Incomplete Data. - Ana Gainaru; Guillaume Pallez (ScalA@SC, 2019)

On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. - Ana Gainaru; Hongyang Sun 001; Guillaume Aupy; Yuankai Huo; Bennett A. Landman; Padma Raghavan (Int. J. High Perform. Comput. Appl., 2019)

I/O Scheduling Strategy for Periodic Applications. - Guillaume Aupy; Ana Gainaru; Valentin Le Fèvre (ACM Trans. Parallel Comput., 2019)

Reservation and Checkpointing Strategies for Stochastic Jobs. - Ana Gainaru; Brice Goglin; Valentin Honoré; Guillaume Pallez Aupy; Padma Raghavan; Yves Robert; Hongyang Sun 001 (IPDPS, 2020)

Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. - Hongyang Sun 001; Ana Gainaru; Manu Shantharam; Padma Raghavan (SBAC-PAD, 2020)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Xinying Wang 001; Lipeng Wan 001; Jieyang Chen; Qian Gong; Ben Whitney; Jinzhen Wang; Ana Gainaru; Qing Liu 002; Norbert Podhorszki; Dongfang Zhao 001; Feng Yan 001; Scott Klasky (DRBSD@SC, 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 (SMC, 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 001; Ana Gainaru; Junmin Gu; Fabian Koller; René Widera; et al. (SMC, 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)

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 (IEEE Big 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; et al. (CLUSTER, 2022)

Message from the DRBSD-8 Workshop Chairs. - Jieyang Chen; Sheng Di; Ana Gainaru; Xin Liang 001; Todd S. Munson (DRBSD@SC, 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Ana Gainaru; Lipeng Wan 001; Ruonan Wang; Eric Suchyta; Jieyang Chen; Norbert Podhorszki; James Kress; David Pugmire; Scott Klasky (IEEE Trans. Parallel Distributed Syst., 2022)

Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. - Lipeng Wan 001; Axel Huebl; Junmin Gu; Franz Poeschel; Ana Gainaru; Ruonan Wang; Jieyang Chen; Xin Liang 001; Dmitry Ganyushin; Todd S. Munson; Ian T. Foster; Jean-Luc Vay; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

Driving Next-Generation Workflows from the Data Plane. - Frédéric Suter; Rafael Ferreira da Silva; Ana Gainaru; Scott Klasky (e-Science, 2023)

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. - Lipeng Wan 001; Jieyang Chen; Xin Liang 001; Ana Gainaru; Qian Gong; Qing Liu 002; Ben Whitney; Joy Arulraj; Zhengchun Liu; Ian T. Foster; Scott Klasky (HPDC, 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 (SC Workshops, 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. - Jaime Cernuda; Luke Logan; Ana Gainaru; Scott Klasky; Jay F. Lofstead; Anthony Kougkas; Xian-He Sun (CCGrid, 2024)

High-Throughput Computing: Case Study of Medical Image Processing Applications. - Maria Predescu; Cosmin-Gabriel Samoila; Emil-Ioan Slusanschi; Ana Gainaru (FlexScience@HPDC, 2024)

To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. - Ana Gainaru; Norbert Podhorszki; Liz Dulac; Qian Gong; Scott Klasky; Greg Eisenhauer; Antonios Kougkas; Xian-He Sun; Jay F. Lofstead (SBAC-PAD, 2024)

AI-coupled HPC Workflow Applications, Middleware and Performance. - Wes Brewer; Ana Gainaru; Frédéric Suter; Feiyi Wang; Murali Emani; Shantenu Jha (CoRR, 2024)

Streaming Data in HPC Workflows Using ADIOS. - Greg Eisenhauer; Norbert Podhorszki; Ana Gainaru; Scott Klasky; Philip E. Davis; Manish Parashar; Matthew Wolf; Eric Suchtya; Erick Fredj; Vicente Bolea; Franz Pöschel; Klaus Steiniger; et al. (CoRR, 2024)

Priority-BF: A Task Manager for Priority-Based Scheduling. - Ana Gainaru; Scott Klasky; Guillaume Pallez (Euro-Par (1), 2025)

A Performance Model of In-Situ Techniques. - Yi Ju; Nicolas Vidal 003; Adalberto Perez; Ana Gainaru; Frédéric Suter; Stefano Markidis; Philipp Schlatter; Scott Klasky; Erwin Laure (PDP, 2025)

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. - Ahmed Almeldein; Mohammed Alnaggar; Rick Archibald; Tom Beck; Arpan Biswas; Rike Bostelmann; Wes Brewer; Chris Bryan; Christopher Calle; Cihangir Celik; Rajni Chahal; Jong Youl Choi; et al. (CoRR, 2025)