Bogdan Nicolae

ORCID

Publication Activity (10 Years)

Years Active: 2008-2025
Publications (10 Years): 65

Top Venues

University of Rennes 1, France (PHD)

Education History

University of Rennes 1, France

PHD

Publications

Thomas Bouvier, Bogdan Nicolae, Alexandru Costan, Tekin Bicer, Ian T. Foster, Gabriel Antoniu
Efficient distributed continual learning for steering experiments in real-time. Future Gener. Comput. Syst. 162 (2025)
Orcun Yildiz, Dmitriy Morozov, Arnur Nigmetov, Bogdan Nicolae, Tom Peterka
Wilkins: HPC In Situ Workflows Made Easy. CoRR (2024)
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
Scalable I/O aggregation for asynchronous multi-level checkpointing. Future Gener. Comput. Syst. 160 (2024)
Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. CoRR (2024)
Jie Ye, Jaime Cernuda, Neeraj Rajesh, Keith Bateman, Orcun Yildiz, Tom Peterka, Arnur Nigmetov, Dmitriy Morozov, Xian-He Sun, Anthony Kougkas, Bogdan Nicolae
Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models. ICPP (2024)
Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers. CoRR (2024)
Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CoRR (2024)
Jiali Li, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae
Elastic deep learning through resilient collective operations. SC Workshops (2023)
Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis
LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS (2023)
Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science (2023)
Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Franck Cappello
Towards Efficient I/O Pipelines Using Accumulated Compression. HiPC (2023)
Kevin Assogba, Bogdan Nicolae, M. Mustafa Rafique
Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering. HiPC (2023)
Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. SC Workshops (2023)
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems. ISPDC (2023)
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC (2023)
Robert Underwood, Bogdan Nicolae
MPIGDB: A Flexible Debugging Infrastructure for MPI Programs. FlexScience@HPDC (2023)
Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS (2023)
Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR (2023)
Avinash Maurya, M. Mustafa Rafique, Thierry Tonellot, Hussain J. AlSalem, Franck Cappello, Bogdan Nicolae
GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching. HPDC (2023)
Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP (2023)
Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC (2022)
Alexandru Costan, Bogdan Nicolae, Kento Sato
FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures. HPDC (2022)
Bogdan Nicolae
Scalable Multi-Versioning Ordered Key-Value Stores with Persistent Memory Support. IPDPS (2022)
Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Amr M. Elsayed, Thierry Tonellot, Franck Cappello
Towards Efficient Cache Allocation for High-Frequency Checkpointing. HIPC (2022)
Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov
Towards Low-Overhead Resilience for Data Parallel Deep Learning. CCGRID (2022)
Jie Liu, Bogdan Nicolae, Dong Li
Lobster: Load Balance-Aware I/O for Distributed DNN Training. ICPP (2022)
Matthew Whitlock, Nicolas Morales, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae, Keita Teranishi, Elisabeth Giem, Vivek Sarkar
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach. CLUSTER (2022)
Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC (2022)
Nicolas Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello
Towards High Performance Resilience Using Performance Portable Abstractions. Euro-Par (2021)
Tanner Hobson, Orcun Yildiz, Bogdan Nicolae, Jian Huang, Tom Peterka
Shared-Memory Communication for Containerized Workflows. CCGRID (2021)
Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER (2021)
Bogdan Nicolae, Adam Moody, Gregory Kosinovsky, Kathryn Mohror, Franck Cappello
VELOC: VEry Low Overhead Checkpointing in the Age of Exascale. CoRR (2021)
Orcun Yildiz, Dmitriy Morozov, Bogdan Nicolae, Tom Peterka
Dynamic Heterogeneous Task Specification and Execution for In Situ Workflows. WORKS (2021)
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
High-Performance Ptychographic Reconstruction with Federated Facilities. CoRR (2021)
Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC (2021)
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
Towards Aggregated Asynchronous Checkpointing. CoRR (2021)
Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC (2021)
Shu-Mei Tseng, Bogdan Nicolae, Franck Cappello, Aparna Chandramowlishwaran
Demystifying asynchronous I/O Interference in HPC applications. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Avinash Maurya, Bogdan Nicolae, M. Mustafa Rafique, Thierry Tonellot, Franck Cappello
Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS (2021)
Ovidiu-Cristian Marcu, Alexandru Costan, Bogdan Nicolae, Gabriel Antonin
Virtual Log-Structured Storage for High-Performance Streaming. CLUSTER (2021)
Bogdan Nicolae, Justin M. Wozniak, Matthieu Dorier, Franck Cappello
DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. CLUSTER (2020)
Bogdan Nicolae, Jiali Li, Justin M. Wozniak, George Bosilca, Matthieu Dorier, Franck Cappello
DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. CCGRID (2020)
Bogdan Nicolae
DataStates: Towards Lightweight Data Models for Deep Learning. SMC (2020)
Tonmoy Dey, Kento Sato, Bogdan Nicolae, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn Mohror
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. IPDPS Workshops (2020)
Avinash Maurya, Bogdan Nicolae, Ishan Guliani, M. Mustafa Rafique
CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. DS-RT (2020)
Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens
High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. MLHPC/AI4S@SC (2020)
Bogdan Nicolae, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror, Franck Cappello
VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. IPDPS (2019)
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER (2019)
Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka
Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access 7 (2019)
Jiali Li, Bogdan Nicolae, Justin M. Wozniak, George Bosilca
Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. MLHPC@SC (2019)
Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, Franck Cappello
Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring. Euro-Par (2019)
Bogdan Nicolae
Session details: Session 1: Converged Computing Infrastructures. ScienceCloud@HPDC (2019)
Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
Significantly improving lossy compression quality based on an optimized hybrid prediction model. SC (2019)
Ovidiu-Cristian Marcu, Alexandru Costan, Gabriel Antoniu, María S. Pérez-Hernández, Bogdan Nicolae, Radu Tudoran, Stefano Bortoli
KerA: Scalable Data Ingestion for Stream Processing. ICDCS (2018)
Silvina Caíno-Lores, Jesús Carretero, Bogdan Nicolae, Orcun Yildiz, Tom Peterka
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. BDCAT (2018)
Francisco J. Clemente-Castelló, Bogdan Nicolae, Rafael Mayo, Juan Carlos Fernández
Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting. IEEE Trans. Parallel Distributed Syst. 29 (8) (2018)
Francisco J. Clemente-Castelló, Bogdan Nicolae, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernández
Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. CCGrid (2017)
Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park
Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. IEEE Trans. Parallel Distributed Syst. 28 (6) (2017)
Ovidiu-Cristian Marcu, Alexandru Costan, Gabriel Antoniu, María S. Pérez-Hernández, Radu Tudoran, Stefano Bortoli, Bogdan Nicolae
Towards a unified storage and ingestion architecture for stream processing. IEEE BigData (2017)
Ovidiu-Cristian Marcu, Radu Tudoran, Bogdan Nicolae, Alexandru Costan, Gabriel Antoniu, María S. Pérez-Hernández
Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics. CCGrid (2017)
Francisco J. Clemente-Castelló, Bogdan Nicolae, Rafael Mayo, Juan Carlos Fernández, M. Mustafa Rafique
On exploiting data locality for iterative mapreduce applications in hybrid clouds. BDCAT (2016)
Bogdan Nicolae, Andrzej Kochut, Alexei A. Karve
Towards scalable on-demand collective data access in IaaS clouds: An adaptive collaborative content exchange proposal. J. Parallel Distributed Comput. 87 (2016)
Radu Tudoran, Bogdan Nicolae, Götz Brasche
Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics. International KEYSTONE Conference (2016)
Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park
Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. CCGrid (2016)
Kate Keahey, Ioan Raicu, Kyle Chard, Bogdan Nicolae
Guest Editors Introduction: Special Issue on Scientific Cloud Computing. IEEE Trans. Cloud Comput. 4 (1) (2016)
Bogdan Nicolae
Leveraging Naturally Distributed Data Redundancy to Reduce Collective I/O Replication Overhead. IPDPS (2015)
Bogdan Nicolae, Pierre Riteau, Kate Keahey
Towards Transparent Throughput Elasticity for IaaS Cloud Storage: Exploring the Benefits of Adaptive Block-Level Caching. Int. J. Distributed Syst. Technol. 6 (4) (2015)
Francisco J. Clemente-Castelló, Bogdan Nicolae, Kostas Katrinis, M. Mustafa Rafique, Rafael Mayo, Juan Carlos Fernández, Daniela Loreti
Enabling Big Data Analytics in the Hybrid Cloud Using Iterative MapReduce. UCC (2015)
Andrzej Kochut, Alexei A. Karve, Bogdan Nicolae
Towards efficient on-demand VM provisioning: Study of VM runtime I/O access patterns to shared image content. IM (2015)
Bogdan Nicolae
Techniques to improve the scalability of collective checkpointing at large scale. HPCS (2015)
Bogdan Nicolae, Andrzej Kochut, Alexei A. Karve
Discovering and Leveraging Content Similarity to Optimize Collective on-Demand Data Access to IaaS Cloud Storage. CCGRID (2015)
Dana Petcu, Horacio González-Vélez, Bogdan Nicolae, Juan Miguel García-Gómez, Elies Fuster-García, Craig Sheridan
Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications. Euro-Par Workshops (2) (2014)
Stefan Ene, Bogdan Nicolae, Alexandru Costan, Gabriel Antoniu
To overlap or not to overlap: optimizing incremental MapReduce computations for on-demand data upload. DataCloud@SC (2014)
Bogdan Nicolae, Pierre Riteau, Kate Keahey
Transparent Throughput Elasticity for IaaS Cloud Storage Using Guest-Side Block-Level Caching. UCC (2014)
Bogdan Nicolae, Pierre Riteau, Kate Keahey
Bursting the Cloud Data Bubble: Towards Transparent Storage Elasticity in IaaS Clouds. IPDPS (2014)
Bogdan Nicolae
Understanding Vertical Scalability of I/O Virtualization for MapReduce Workloads: Challenges and Opportunities. Euro-Par Workshops (2013)
Bogdan Nicolae
Towards Scalable Checkpoint Restart: A Collective Inline Memory Contents Deduplication Proposal. IPDPS (2013)
Gabriel Antoniu, Alexandru Costan, Julien Bigot, Frédéric Desprez, Gilles Fedak, Sylvain Gault, Christian Pérez, Anthony Simonet, Bing Tang, Christophe Blanchet, Raphael Terreux, Luc Bougé, François Briant, Franck Cappello, Kate Keahey, Bogdan Nicolae, Frédéric Suter
Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures. Int. J. Cloud Comput. 2 (2/3) (2013)
Bogdan Nicolae, Franck Cappello
AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing. HPDC (2013)
Bogdan Nicolae, M. Mustafa Rafique
Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds. Euro-Par (2013)
Bogdan Nicolae, Franck Cappello
BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds. J. Parallel Distributed Comput. 73 (5) (2013)
Viet-Trung Tran, Bogdan Nicolae, Gabriel Antoniu
Towards scalable array-oriented active storage: the pyramid approach. ACM SIGOPS Oper. Syst. Rev. 46 (1) (2012)
Bogdan Nicolae, Franck Cappello
A hybrid local storage transfer scheme for live migration of I/O intensive workloads. HPDC (2012)
Leonardo Arturo Bautista-Gomez, Bogdan Nicolae, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka
Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. Euro-Par (2012)
Bogdan Nicolae, John Bresnahan, Kate Keahey, Gabriel Antoniu
Going back and forth: efficient multideployment and multisnapshotting on clouds. HPDC (2011)
Bogdan Nicolae, Franck Cappello, Gabriel Antoniu
Optimizing Multi-deployment on Clouds by Means of Self-adaptive Prefetching. Euro-Par (1) (2011)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé, Diana Moise, Alexandra Carpen-Amarie
BlobSeer: Next-generation data management for large scale infrastructures. J. Parallel Distributed Comput. 71 (2) (2011)
Bogdan Nicolae
On the Benefits of Transparent Compression for Cost-Effective Cloud Data Storage. Trans. Large Scale Data Knowl. Centered Syst. 3 (2011)
Bogdan Nicolae, Franck Cappello
BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots. SC (2011)
Viet-Trung Tran, Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
Efficient Support for MPI-I/O Atomicity Based on Versioning. CCGRID (2011)
Bogdan Nicolae
High Throughput Data-Compression for Cloud Storage. Globe (2010)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
BlobSeer: Efficient data management for data-intensive applications distributed at large-scale. IPDPS Workshops (2010)
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc Bougé, Matthieu Dorier
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications. IPDPS (2010)
Jesús Montes, Bogdan Nicolae, Gabriel Antoniu, Alberto Sánchez, María S. Pérez
Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services. CloudCom (2010)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach. Euro-Par (2009)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
BlobSeer: how to enable efficient versioning for large object storage under heavy access concurrency. EDBT/ICDT Workshops (2009)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
BlobSeer: How to Enable Efficient Versioning for Large Object Storage under Heavy Access Concurrency CoRR (2009)
Viet-Trung Tran, Gabriel Antoniu, Bogdan Nicolae, Luc Bougé, Osamu Tatebe
Towards a Grid File System Based on a Large-Scale BLOB Management Service. CoreGRID@Euro-Par (2009)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
Distributed Management of Massive Data: An Efficient Fine-Grain Data Access Scheme. VECPAR (2008)
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection. CLUSTER (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bogdan Nicolae