Bogdan Nicolae
Orcid: 0000-0002-0661-7509
According to our database1,
Bogdan Nicolae
authored at least 101 papers
between 2008 and 2025.
Collaborative distances:
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Bibliography
2025
Future Gener. Comput. Syst., 2025
2024
Future Gener. Comput. Syst., 2024
Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers.
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024
Proceedings of the 20th IEEE International Conference on e-Science, 2024
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024
2023
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search.
CoRR, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access.
Proceedings of the 37th International Conference on Supercomputing, 2023
Proceedings of the 52nd International Conference on Parallel Processing, 2023
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Optimizing the Training of Co-Located Deep Learning Models Using Cache-Aware Staggering.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, 2023
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the 51st International Conference on Parallel Processing, 2022
FlexScience'22: 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022
Proceedings of the FlexScience '22: Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2022
Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
Int. J. High Perform. Comput. Appl., 2021
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the 29th International Symposium on Modeling, 2021
Proceedings of the Euro-Par 2021: Parallel Processing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2020
DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY.
IEEE Access, 2019
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
Proceedings of the International Conference for High Performance Computing, 2019
Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training.
Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Proceedings of the 10th Workshop on Scientific Cloud Computing, 2019
Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring.
Proceedings of the Euro-Par 2019: Parallel Processing, 2019
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
IEEE Trans. Parallel Distributed Syst., 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models.
Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies, 2018
2017
Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2017
Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
IEEE Trans. Cloud Comput., 2016
Towards scalable on-demand collective data access in IaaS clouds: An adaptive collaborative content exchange proposal.
J. Parallel Distributed Comput., 2016
Proceedings of the Semantic Keyword-Based Search on Structured Data Sources, 2016
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016
2015
Towards Transparent Throughput Elasticity for IaaS Cloud Storage: Exploring the Benefits of Adaptive Block-Level Caching.
Int. J. Distributed Syst. Technol., 2015
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015
Leveraging Naturally Distributed Data Redundancy to Reduce Collective I/O Replication Overhead.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Towards efficient on-demand VM provisioning: Study of VM runtime I/O access patterns to shared image content.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015
Discovering and Leveraging Content Similarity to Optimize Collective on-Demand Data Access to IaaS Cloud Storage.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2014
Transparent Throughput Elasticity for IaaS Cloud Storage Using Guest-Side Block-Level Caching.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014
To overlap or not to overlap: optimizing incremental MapReduce computations for on-demand data upload.
Proceedings of the 5th International Workshop on Data-Intensive Computing in the Clouds, 2014
Bursting the Cloud Data Bubble: Towards Transparent Storage Elasticity in IaaS Clouds.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
Next Generation HPC Clouds: A View for Large-Scale Scientific and Data-Intensive Applications.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014
2013
J. Parallel Distributed Comput., 2013
Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures.
Int. J. Cloud Comput., 2013
Towards Scalable Checkpoint Restart: A Collective Inline Memory Contents Deduplication Proposal.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013
AI-Ckpt: leveraging memory access patterns for adaptive asynchronous incremental checkpointing.
Proceedings of the 22nd International Symposium on High-Performance Parallel and Distributed Computing, 2013
Leveraging Collaborative Content Exchange for On-Demand VM Multi-deployments in IaaS Clouds.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013
Understanding Vertical Scalability of I/O Virtualization for MapReduce Workloads: Challenges and Opportunities.
Proceedings of the Euro-Par 2013: Parallel Processing Workshops, 2013
2012
ACM SIGOPS Oper. Syst. Rev., 2012
A hybrid local storage transfer scheme for live migration of I/O intensive workloads.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012
Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds.
Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012
2011
Trans. Large Scale Data Knowl. Centered Syst., 2011
J. Parallel Distributed Comput., 2011
BlobCR: efficient checkpoint-restart for HPC applications on IaaS clouds using virtual disk image snapshots.
Proceedings of the Conference on High Performance Computing Networking, 2011
Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 2011
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011
Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011
2010
BlobSeer: Towards efficient data storage management for large-scale, distributed systems.
PhD thesis, 2010
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
BlobSeer: Efficient data management for data-intensive applications distributed at large-scale.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010
Proceedings of the Data Management in Grid and Peer-to-Peer Systmes, 2010
Proceedings of the Cloud Computing, Second International Conference, 2010
2009
Proceedings of the Grids, 2009
Enabling High Data Throughput in Desktop Grids through Decentralized Data and Metadata Management: The BlobSeer Approach.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009
BlobSeer: how to enable efficient versioning for large object storage under heavy access concurrency.
Proceedings of the 2009 EDBT/ICDT Workshops, Saint-Petersburg, Russia, March 22, 2009, 2009
2008
Proceedings of the High Performance Computing for Computational Science, 2008
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection.
Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008