Bogdan Nicolae

  • Research Professor of Computer Science
  • Computer Scientist, Argonne National Laboratory

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Education

Ph.D., University of Rennes 1, France

Dipl. Eng., Politehnica University Bucharest, Romania

Research Interests

  • High Performance Computing
  • Parallel and Distributed Computing
  • Large Scale Data Management, Storage and Access
  • Resilience and Fault tolerance
  • Cloud Computing and Virtualization

Professional Affiliations & Memberships

Senior member, Association for Computing Machinery

Publications

  1. Maurya, A., Nicolae, B., Rafique, M., Tonellot, T. and Cappello, F. 2021. Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing. MASCOTS’21: The 29th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (Virtual, Portugal, 2021).
  2. Liu, H., Nicolae, B., Di, S., Cappello, F. and Jog, A. 2021. Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. CLUSTER’21: The 2021 IEEE International Conference on Cluster Computing (Portland, USA, 2021).
  3. Marcu, O., Costan, A., Nicolae, B. and Antoniu, G. 2021. Virtual Log-Structured Storage for High-Performance Streaming. CLUSTER’21: The 2021 IEEE International Conference on Cluster Computing (Portland, USA, 2021).
  4. Bicer, T., Yu, X., Ching, D.J., Chard, R., Cherukara, M.J., Nicolae, B. and Kettimuthu, R. 2021. High-Performance Ptychographic Reconstruction with Federated Facilities. SMC’21: The 2021 Smoky Mountains Computational Sciences and Engineering Conference (Kingsport, United States, 2021).
  5. Morales, N., Teranishi, K., Nicolae, B., Trott, C. and Cappello, F. 2021. Towards Portable Online Prediction of Network Utilization using MPI-level Monitoring. EuroPar’21: 27th International European Conference on Parallel and Distributed Systems (Lisbon, Portugal, 2021).
  6. Tseng, S.-M., Nicolae, B., Cappello, F. and Chandramowlishwaran, A. 2021. Demystifying asynchronous I/O Interference in HPC applications. The International Journal of High Performance Computing Applications. 35, 4 (2021), 391–412. DOI:https://doi.org/10.1177/10943420211016511.
  7. Hobson, T., Yildiz, O., Nicolae, B., Huang, J. and Peterka, T. 2021. Shared-Memory Communication for Containerized Workflows. CCGrid’21: The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (Virtual, Australia, 2021).
  8. Nicolae, B., Moody, A., Kosinovsky, G., Mohror, K. and Cappello, F. 2021. VELOC: Very Low Overhead Checkpointing in the Age of Exascale. SuperCheck’21: The First International Symposium on Checkpointing for Supercomputing (Virtual Event, 2021).
  9. Wozniak, J., Yoo, H., Mohd-Yusof, J., Nicolae, B., Collier, N., Ozik, J., Brettin, T. and Stevens, R. 2020. High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. MLHPC’20: The 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (in conjunction with SC’20) (Virtual Event, 2020).
  10. Nicolae, B. 2020. DataStates: Towards Lightweight Data Models for Deep Learning. SMC’20: The 2020 Smoky Mountains Computational Sciences and Engineering Conference (Nashville, United States, 2020). 
  11. Maurya, A., Nicolae, B., Guliani, I. and Rafique, M.M. 2020. CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters. DS-RT’20: The 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications(Prague, Czech Republic, 2020), 167–174.
  12. Nicolae, B., Wozniak, J.M., Dorier, M. and Cappello, F. 2020. DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. CLUSTER’20: The 2020 IEEE International Conference on Cluster Computing (Kobe, Japan, 2020).
  13. Dey, T., Sato, K., Nicolae, B., Guo, J., Domke, J., Yu, W., Cappello, F. and Mohror, K. 2020. Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. HPS’20: The 2020 IEEE International Workshop on High-Performance Storage (New Orleans, USA, 2020).
  14. Nicolae, B., Li, J., Wozniak, J., Bosilca, G., Dorier, M. and Cappello, F. 2020. DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. CGrid’20: 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing(Melbourne, Australia, 2020), 172–181.
  15. Nicolae, B., Moody, A., Gonsiorowski, E., Mohror, K. and Cappello, F. 2019. VeloC: Towards High Performance Adaptive Asynchronous Checkpointing at Large Scale. IPDPS’19: The 2019 IEEE International Parallel and Distributed Processing Symposium(Rio de Janeiro, Brazil, 2019), 911–920.
  16. Tseng, S.-M., Nicolae, B., Bosilca, G., Jeannot, E., Chandramowlishwaran, A. and Cappello, F. 2019. Towards Portable Online Prediction of Network Utilization using MPI-level Monitoring. EuroPar’19 : 25th International European Conference on Parallel and Distributed Systems (Goettingen, Germany, 2019), 47–60.
  17. Liang, X., Di, S., Li, S., Tao, D., Nicolae, B., Chen, Z. and Cappello, F. 2019. Significantly Improving Lossy Compression Quality Based on an Optimized Hybrid Prediction Model. SC ’19: 32nd International Conference for High Performance Computing, Networking, Storage and Analytics (Denver, USA, 2019), 1–26.
  18. Liang, X., Di, S., Tao, D., Li, S., Nicolae, B., Chen, Z. and Cappello, F. 2019. Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER’19: IEEE International Conference on Cluster Computing (Albuquerque, USA, 2019), 1–11.
  19. Nicolae, B., Riteau, P., Zhen, Z. and Keahey, K. 2019. Transparent Throughput Elasticity for Modern Cloud Storage: An Adaptive Block-Level Caching Proposal. Applying Integration Techniques and Methods in Distributed Systems and Technologies. IGI Global. 156–191.
  20. Caino-Lores, S., Carretero, J., Nicolae, B., Yildiz, O. and Peterka, T. 2019. Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. IEEE Access. 7, (2019), 156929–156955. DOI:https://doi.org/10.1109/ACCESS.2019.2949836.
  21. Li, J., Nicolae, B., Wozniak, J. and Bosilca, G. 2019. Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. MLHPC’19: The 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (in conjunction with SC’19) (Denver, USA, 2019), 1–8.
  22. Nicolae, B., Cappello, F., Moody, A., Gonsiorowski, E. and Mohror, K. 2018. VeloC: Very Low Overhead Checkpointing System. SC ’18: 31th International Conference for High Performance Computing, Networking, Storage and Analysis (Dallas, USA, 2018).
  23. Clemente-Castello, F.J., Nicolae, B., Mayo, R. and Fernandez, J.C. 2018. Performance Model of MapReduce Iterative Applications for Hybrid Cloud Bursting. IEEE Transactions on Parallel and Distributed Systems. 29, 8 (2018), 1794–1807. DOI:https://doi.org/10.1109/TPDS.2018.2802932.
  24. Caino-Lores, S., Carretero, J., Nicolae, B., Yildiz, O. and Peterka, T. 2018. Spark-DIY: A Framework for Interoperable Spark Operations with High Performance Block-Based Data Models. BDCAT’18: 5th IEEE/ACM International Conference on Big Data Computing Applications and Technologies (Zurich, Switzerland, 2018), 1–10.
  25. Marcu, O.-C., Costan, A., Antoniu, G., Perez-Hernandez, M.S., Nicolae, B., Tudoran, R. and Bortoli, S. 2018. KerA: Scalable Data Ingestion for Stream Processing. ICDCS’18: 38th IEEE International Conference on Distributed Computing Systems (Vienna, Austria, 2018), 1480–1485.
  26. Nicolae, B., Costa, C., Misale, C., Katrinis, K. and Park, Y. 2017. Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. IEEE Transactions on Parallel and Distributed Systems. 28, 6 (2017), 1663–1674. DOI:https://doi.org/10.1109/TPDS.2016.2627558. 
  27. Clemente-Castello, F.J., Nicolae, B., Mayo, M.M.R.R. and Fernandez, J.C. 2017. Evaluation of Data Locality Strategies for Hybrid Cloud Bursting of Iterative MapReduce. CCGrid’17 : 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing(Madrid, Spain, 2017), 181–185.
  28. Marcu, O.-C., Costan, A., Antoniu, G., Perez-Hernandez, M.S., Tudoran, R., Bortoli, S. and Nicolae, B. 2017. Towards a unified storage and ingestion architecture for stream processing. BigData’17: 2017 IEEE International Conference on Big Data (Boston, USA, 2017), 2402–2407.
  29. Marcu, O.-C., Tudoran, R., Nicolae, B., Costan, A., Antoniu, G. and Perez-Hernandez, M.S. 2017. Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming Analytics. EBDMA’17: 1st Workshop on the Integration of Extreme Scale Computing and Big Data Management and Analytics (Madrid, Spain, 2017), 1044–1052.