PNNL

Omer Subasi is a computer scientist in the High-Performance Computing group in the Physical and Computational Sciences Directorate at Pacific Northwest National Laboratory. His research focuses on high-performance computing, quantum computing, classical and quantum machine learning, cybersecurity, and network science. Subasi’s studies include classical simulation of quantum systems, noise analysis in quantum algorithms, mathematical models for cybersecurity in emerging 5G technologies, resilience of complex networks of networks, and fault-tolerance for high-performance computing systems.

He has published in International Conference for High Performance Computing Networking, Storage, and Analysis, International Symposium on Parallel and Distributed Processing, International Conference on Parallel Processing, High Performance Computing, IEEE Cluster Conference, International Symposium on Cluster, Cloud and Internet Computing, and Computing Frontiers Conference conference proceedings. Subasi has also published in International Journal of High Performance Computing Applications and Sustainable Computing: Informatics and Systems journals.

His research interests are parallel and distributed computing, quantum computing, machine learning, deep learning, artificial intelligence, mathematical optimization, uncertainty quantification, cybersecurity, network theory, wireless networks, and emerging architectures and computation models.

Omer Subasi is on Google Scholar.

• Parallel and distributed computing
• Quantum computing
• Cybersecurity
• Network theory
• Mathematical modeling and analysis
• Machine learning
• Deep learning
• Artificial intelligence
• Mathematical optimization
• Uncertainty quantification
• Wireless networks
• Emerging architectures and computation models

• PhD in computer architecture, Universitat Politècnica de Catalunya, Spain, 2016
• MS in computer science and engineering, Koç Üniversitesi, Turkey, 2012
• BS in computer engineering, Koç Üniversitesi, Turkey, 2009
• BS in mathematics, Koç Üniversitesi, Turkey, 2009

2023

• Subasi O., S. Purohit, A. Bhattacharya, and S. Chatterjee. 2023. "Impact-Driven Sampling Strategies for Hybrid Attack Graphs." In IEEE International Symposium on Technologies for Homeland Security (HST 2022) November 14-15, 2022, Virtual, Online, 1-7. Piscataway, New Jersey:IEEE. PNNL-SA-178629. doi:10.1109/HST56032.2022.10025439

2021

• Subasi O., and S. Chatterjee. 2021. "Efficient Sampling of Complex Interdependent and Multiplex Networks." Journal of Complex Networks 9, no. 5:Article No. cnab029. PNNL-SA-154329. doi:10.1093/comnet/cnab029

2020

• Li A., O. Subasi, X. Yang, and S. Krishnamoorthy. 2020. "Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters." In International Conference for High Performance Computing, Networking, Storage and Analysis (SC2020), November 9-19, 2020, Atlanta, GA, 1-15. Piscataway, New Jersey:IEEE. PNNL-SA-143160. doi:10.1109/SC41405.2020.00017

2018

• Kestor G.G., B. Mutlu, J.B. Manzano Franco, O. Subasi, O. Unsal, and S. Krishnamoorthy. 2018. "Comparative Analysis of Soft-Error Detection Strategies: A Case Study with Iterative Methods." In Proceedings of the 15th ACM International Conference on Computing Frontiers (CF 2018), May 8-10, 2019, Ishia, Italy, 173-182. New York, New York:ACM. PNNL-SA-133097. doi:10.1145/3203217.3203240
• Subasi O., and S. Krishnamoorthy. 2018. "On The Theory of Speculative Checkpointing: Time and Energy Considerations." In Proceedings of the 15th ACM International Conference on Computing Frontiers (CF 2018), May 8-10, 2018, Ischia, Italy, 165-172. New York, New York:ACM. PNNL-SA-132987. doi:10.1145/3203217.3203232
• Subasi O., C. Chang, M. Erez, and S. Krishnamoorthy. 2018. "Characterizing the Impact of Soft Errors Affecting Floating-point ALUs using RTL-level Fault Injection." In Proceedings of the 47th International Conference on Parallel Processing, (ICPP 2018), August 13-16, 2018, Eugene, OR, Article No. 59. New York, New York:ACM. PNNL-SA-134868. doi:10.1145/3225058.3225089
• Subasi O., R. Tipireddy, and S. Krishnamoorthy. 2018. "Quantification, Trade-off Analysis, and Optimal Checkpoint Placement for Reliability and Availability." In IEEE 25th International Conference on High Performance Computing (HiPC 2018), December 17-20, 2018, Bengaluru, India, 183-192. Los Alamitos, California:IEEE Computer Society. PNNL-SA-138205. doi:10.1109/HiPC.2018.00029
• Subasi O., S. Di, L. Bautista-Gomez, P. Balaprakash, O. Unsal, J. Labarta, and A. Cristal, et al. 2018. "Exploring The Capabilities of Support Vector Machines in Detecting Silent Data Corruptions." Sustainable Computing: Informatics and Systems 19. PNNL-SA-131767. doi:10.1016/j.suscom.2018.01.004

2017

• Panyala A.R., O. Subasi, M. Halappanavar, A. Kalyanaraman, D.G. Chavarria Miranda, and S. Krishnamoorthy. 2017. "Approximate Computing Techniques for Iterative Graph Algorithms." In IEEE 24th International Conference on High Performance Computing (HiPC 2017), December 18-21, 2017, Jaipur, India, 23 - 30. Los Alamitos, California:IEEE Computer Society. PNNL-SA-129904. doi:10.1109/HiPC.2017.00013
• Subasi O., S. Di, P. Balaprakash, O. Unsal, J. Labarta, A. Cristal, and S. Krishnamoorthy, et al. 2017. "MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection." In IEEE International Conference on Cluster Computing (CLUSTER 2017), September 5-8, 2017, Honolulu, HI, 717-724. Los Alamitos, California:IEEE Computer Society. PNNL-SA-128115. doi:10.1109/CLUSTER.2017.128