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. 协同多级检查点的高效I/O调度研究. MASCOTS ' 21:第29届IEEE建模国际研讨会, Analysis, 计算机和电信系统仿真(虚拟), Portugal, 2021).
  2. Liu, H., Nicolae, B., Di, S., Cappello, F. and Jog, A. 2021. 使用选择性权重转移加速DNN架构的大规模搜索. CLUSTER ' 21: 2021 IEEE国际集群计算会议(波特兰，美国，2021).
  3. Marcu, O., Costan, A., Nicolae, B. and Antoniu, G. 2021. 用于高性能流的虚拟日志结构存储. CLUSTER ' 21: 2021 IEEE国际集群计算会议(波特兰，美国，2021).
  4. Bicer, T., Yu, X., Ching, D.J., Chard, R., Cherukara, M.J., Nicolae, B. and Kettimuthu, R. 2021. 联邦设施的高性能平面重建. SMC ' 21: 2021年烟山计算科学与工程会议(Kingsport), United States, 2021).
  5. Morales, N., Teranishi, K., Nicolae, B., Trott, C. and Cappello, F. 2021. 基于mpi级监测的便携式网络利用率在线预测. 第27届并行和分布式系统国际欧洲会议(里斯本), Portugal, 2021).
  6. Tseng, S.-M., Nicolae, B., Cappello, F. and Chandramowlishwaran, A. 2021. 揭开高性能计算应用程序中异步I/O干扰的神秘面纱. 国际高性能计算应用杂志. 35, 4 (2021), 391–412. DOI:http://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:第21届IEEE/ACM集群国际研讨会, Cloud and Internet Computing (Virtual, Australia, 2021).
  8. Nicolae, B., Moody, A., Kosinovsky, G., Mohror, K. and Cappello, F. 2021. VELOC:百亿亿次时代的极低开销检查点. SuperCheck ' 21:第一届超级计算检查点国际研讨会(虚拟事件), 2021).
  9. Wozniak, J., Yoo, H., Mohd-Yusof, J., Nicolae, B., Collier, N., Ozik, J., Brettin, T. and Stevens, R. 2020. 高旁路学习:自动检测显著影响药物反应的肿瘤细胞. MLHPC ' 20: 2020 IEEE/ACM高性能计算环境中的机器学习研讨会(与SC ' 20一起)(虚拟事件), 2020).
  10. Nicolae, B. 2020. DataStates:面向深度学习的轻量级数据模型. SMC ' 20: 2020年烟山计算科学与工程会议(纳什维尔), United States, 2020). 
  11. Maurya, A., Nicolae, B., Guliani, I. and Rafique, M.M. 2020. CoSim: HPC数据中心中批处理和按需作业协同调度的模拟器. DS-RT ' 20:第24届IEEE/ACM分布式仿真和实时应用国际研讨会, Czech Republic, 2020), 167–174.
  12. Nicolae, B., Wozniak, J.M., Dorier, M. and Cappello, F. 2020. DeepClone:用于数据并行训练的深度学习模型的轻量级状态复制. CLUSTER ' 20: 2020 IEEE国际集群计算会议(神户，日本，2020).
  13. Dey, T., Sato, K., Nicolae, B., Guo, J., Domke, J., Yu, W., Cappello, F. and Mohror, K. 2020. 优化异步多级检查点/重启配置与机器学习. HPS ' 20: 2020 IEEE高性能存储国际研讨会(新奥尔良，美国，2020).
  14. Nicolae, B., Li, J., Wozniak, J., Bosilca, G., Dorier, M. and Cappello, F. 2020. DeepFreeze:迈向深度学习模型的可扩展异步检查点. 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:迈向大规模高性能自适应异步检查点. IPDPS ' 19: 2019年IEEE国际并行和分布式处理研讨会(里约热内卢), Brazil, 2019), 911–920.
  16. Tseng, S.-M., Nicolae, B., Bosilca, G., Jeannot, E., Chandramowlishwaran, A. and Cappello, F. 2019. 基于mpi级监测的便携式网络利用率在线预测. 第25届并行和分布式系统国际欧洲会议(哥廷根), Germany, 2019), 47–60.
  17. Liang, X., Di, S., Li, S., Tao, D., Nicolae, B., Chen, Z. and Cappello, F. 2019. 基于优化混合预测模型显著提高有损压缩质量. 计算机科学与技术[j]; 2009, 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. 改进科学仿真中有损压缩数据转储的性能. CLUSTER ' 19: IEEE国际集群计算会议(美国，2019)，1-11.
  19. Nicolae, B., Riteau, P., Zhen, Z. and Keahey, K. 2019. 现代云存储的透明吞吐量弹性:自适应块级缓存建议. 集成技术与方法在分布式系统与技术中的应用. IGI Global. 156–191.
  20. Caino-Lores, S., Carretero, J., Nicolae, B., Yildiz, O. and Peterka, T. 2019. 迈向高性能计算和大数据分析的融合:Spark-DIY的案例. IEEE Access. 7, (2019), 156929–156955. DOI:http://doi.org/10.1109/ACCESS.2019.2949836.
  21. Li, J., Nicolae, B., Wozniak, J. and Bosilca, G. 2019. 理解同步数据并行训练的可伸缩性和细粒度并行性. MLHPC ' 19: 2019年IEEE/ACM高性能计算环境中的机器学习研讨会(与SC ' 19一起)(丹佛), USA, 2019), 1–8.
  22. Nicolae, B., Cappello, F., Moody, A., Gonsiorowski, E. and Mohror, K. 2018. VeloC: Very Low Overhead Checkpointing System. 计算机科学与技术[j]; 2009, Networking, Storage and Analysis (Dallas, USA, 2018).
  23. Clemente-Castello, F.J., Nicolae, B., Mayo, R. and Fernandez, J.C. 2018. 混合云爆发MapReduce迭代应用的性能模型. IEEE Transactions on Parallel and Distributed Systems. 29, 8 (2018), 1794–1807. DOI:http://doi.org/10.1109/TPDS.2018.2802932.
  24. Caino-Lores, S., Carretero, J., Nicolae, B., Yildiz, O. and Peterka, T. 2018. Spark- diy:一个基于高性能块数据模型的可互操作Spark操作框架. 第5届IEEE/ACM大数据计算应用与技术国际会议(苏黎世), 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. 第38届IEEE分布式计算系统国际会议(维也纳), Austria, 2018), 1480–1485.
  26. Nicolae, B., Costa, C., Misale, C., Katrinis, K. and Park, Y. 2017. 利用自适应I/O优化大数据分析的集体数据洗牌模式. IEEE Transactions on Parallel and Distributed Systems. 28, 6 (2017), 1663–1674. DOI:http://doi.org/10.1109/TPDS.2016.2627558. 
  27. Clemente-Castello, F.J., Nicolae, B., Mayo, M.M.R.R. and Fernandez, J.C. 2017. 迭代MapReduce混合云爆发的数据局部化策略评价. CCGrid ' 17:第17届IEEE/ACM集群国际研讨会, 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. 为流处理提供统一的存储和摄取架构. BigData ' 17: 2017 IEEE大数据国际会议(Boston, USA, 2017)， 2402-2407.
  29. Marcu, O.-C., Tudoran, R., Nicolae, B., Costan, A., Antoniu, G. and Perez-Hernandez, M.S. 2017. 基于windows的多模式流分析的键值存储共享状态研究. EBDMA ' 17:第一届极端规模计算和大数据管理与分析集成研讨会(马德里), Spain, 2017), 1044–1052.