Simplifying Linearizability Proofs with Reduction and Abstraction. - Tayfun Elmas; Shaz Qadeer; Ali Sezgin; Omer Subasi; Serdar Tasiran (TACAS, 2010)

Programmer-directed partial redundancy for resilient HPC. - Omer Subasi; Javier Arias Moreno; Osman S. Unsal; Jesús Labarta; Adrián Cristal (Conf. Computing Frontiers, 2015)

Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications. - Tatiana V. Martsinkevich; Omer Subasi; Osman S. Unsal; Franck Cappello; Jesús Labarta (CLUSTER, 2015)

Marriage Between Coordinated and Uncoordinated Checkpointing for the Exascale Era. - Omer Subasi; Ferad Zyulkyarov; Osman S. Unsal; Jesús Labarta (HPCC/CSS/ICESS, 2015)

Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Ünsal; Jesús Labarta; Adrián Cristal; Franck Cappello (CCGrid, 2016)

A Runtime Heuristic to Selectively Replicate Tasks for Application-Specific Reliability Targets. - Omer Subasi; Gulay Yalcin; Ferad Zyulkyarov; Osman S. Unsal; Jesús Labarta (CLUSTER, 2016)

CRC-Based Memory Reliability for Task-Parallel HPC Applications. - Omer Subasi; Osman S. Ünsal; Jesús Labarta; Gulay Yalcin; Adrián Cristal (IPDPS, 2016)

Reliability for exascale computing : system modelling and error mitigation for task-parallel HPC applications. - Omer Subasi (2016)

Designing and Modelling Selective Replication for Fault-tolerant HPC Applications. - Omer Subasi; Gulay Yalcin; Ferad Zyulkyarov; Osman S. Unsal; Jesús Labarta (CCGrid, 2017)

MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection. - Omer Subasi; Sheng Di; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (CLUSTER, 2017)

A Gaussian Process Approach for Effective Soft Error Detection. - Omer Subasi; Sriram Krishnamoorthy (CLUSTER, 2017)

Toward a General Theory of Optimal Checkpoint Placement. - Omer Subasi; Gokcen Kestor; Sriram Krishnamoorthy (CLUSTER, 2017)

Approximate Computing Techniques for Iterative Graph Algorithms. - Ajay Panyala; Omer Subasi; Mahantesh Halappanavar; Ananth Kalyanaraman; Daniel G. Chavarría-Miranda; Sriram Krishnamoorthy (HiPC, 2017)

Automatic Risk-based Selective Redundancy for Fault-tolerant Task-parallel HPC Applications. - Omer Subasi; Osman S. Unsal; Sriram Krishnamoorthy (ESPM2@SC, 2017)

Comparative analysis of soft-error detection strategies: a case study with iterative methods. - Gokcen Kestor; Burcu Ozcelik Mutlu; Joseph B. Manzano; Omer Subasi; Osman S. Unsal; Sriram Krishnamoorthy (CF, 2018)

On the theory of speculative checkpointing: time and energy considerations. - Omer Subasi; Sriram Krishnamoorthy (CF, 2018)

Quantification, Trade-off Analysis, and Optimal Checkpoint Placement for Reliability and Availability. - Omer Subasi; Ramakrishna Tipireddy; Sriram Krishnamoorthy (HiPC, 2018)

Characterizing the Impact of Soft Errors Affecting Floating-point ALUs using RTL-Ievel Fault Injection. - Omer Subasi; Chun-Kai Chang; Mattan Erez; Sriram Krishnamoorthy (ICPP, 2018)

Unified fault-tolerance framework for hybrid task-parallel message-passing applications. - Omer Subasi; Tatiana V. Martsinkevich; Ferad Zyulkyarov; Osman S. Unsal; Jesús Labarta; Franck Cappello (Int. J. High Perform. Comput. Appl., 2018)

Exploring the capabilities of support vector machines in detecting silent data corruptions. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (Sustain. Comput. Informatics Syst., 2018)

Density matrix quantum circuit simulation via the BSP machine on modern GPU clusters. - Ang Li 006; Omer Subasi; Xiu Yang; Sriram Krishnamoorthy (SC, 2020)

Efficient sampling of complex interdependent and multiplex networks. - Omer Subasi; Samrat Chatterjee (J. Complex Networks, 2021)

Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions. - Omer Subasi; Joseph B. Manzano; Kevin J. Barker (CSR, 2023)

Toward Automated Quantum Variational Machine Learning. - Omer Subasi (CoRR, 2023)

The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning. - Omer Subasi; Oceane Bel; Joseph B. Manzano; Kevin J. Barker (CoRR, 2023)

Investigation of lattice infill parameters for additively manufactured bone fracture plates to reduce stress shielding. - Omer Subasi; Bedri Karaismailoglu; Soheil Ashkani-Esfahani; Ismail Lazoglu (Comput. Biol. Medicine, 2023)

Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures. - Oceane Bel; Burcu Ozcelik Mutlu; Joseph B. Manzano; Cimone Wright-Hamor; Omer Subasi; Kevin J. Barker (CF, 2024)

A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection. - Omer Subasi; Johnathan Cree; Joseph B. Manzano; Elena Peterson (CoRR, 2024)

Analysis and Benchmarking of feature reduction for classification under computational constraints. - Omer Subasi; Sayan Ghosh; Joseph B. Manzano; Bruce Palmer; Andrés Márquez 001 (Mach. Learn. Sci. Technol., 2024)

In silico comparative biomechanical analysis of oblique and chevron medial displacement calcaneal osteotomies for pes planus deformity. - Omer Subasi; Siddartha Sharma; Bedri Karaismailoglu; Andrew Hresko; Gregory Waryasz; Soheil Ashkani-Esfahani; Lorena Bejarano-Pineda (Comput. Biol. Medicine, 2024)