| Light-weight bounds checking N Hasabnis, A Misra, R Sekar Proceedings of the Tenth International Symposium on Code Generation and …, 2012 | 95 | 2012 |
| A platform for secure static binary instrumentation M Zhang, R Qiao, N Hasabnis, R Sekar Proceedings of the 10th ACM SIGPLAN/SIGOPS international conference on …, 2014 | 94 | 2014 |
| Lifting assembly to intermediate representation: A novel approach leveraging compilers N Hasabnis, R Sekar Proceedings of the Twenty-First International Conference on Architectural …, 2016 | 42 | 2016 |
| Inter-architecture compatability module to allow code module of one architecture to use library module of another architecture N Hasabnis, S Srinivas, J Bobba US Patent 10,120,663, 2018 | 25 | 2018 |
| Extracting instruction semantics via symbolic execution of code generators N Hasabnis, R Sekar Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 19 | 2016 |
| Checking correctness of code generator architecture specifications N Hasabnis, R Qiao, R Sekar 2015 IEEE/ACM International Symposium on Code Generation and Optimization …, 2015 | 13 | 2015 |
| Auto-tuning TensorFlow threading model for CPU backend N Hasabnis 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 14-25, 2018 | 10 | 2018 |
| Prototype of a DDS-based high-level accelerator application environment N Malitsky, N Hasabnis, R Talman, S Shasharina, N Wang Proc. of International Conference on Accelerator & Large Experimental …, 2009 | 8 | 2009 |
| ControlFlag: a self-supervised idiosyncratic pattern detection system for software control structures N Hasabnis, J Gottschlich Proceedings of the 5th ACM SIGPLAN International Symposium on Machine …, 2021 | 7 | 2021 |
| Misim: A novel code similarity system F Ye, S Zhou, A Venkat, R Marcus, N Tatbul, JJ Tithi, N Hasabnis, ... | 5 | 2020 |
| MISIM: a neural code semantics similarity system using the context-aware semantics structure F Ye, S Zhou, A Venkat, R Marcus, N Tatbul, JJ Tithi, N Hasabnis, ... arXiv preprint arXiv:2006.05265, 2020 | 4 | 2020 |
| Accelerating TensorFlow on Modern Intel Architectures E Ould-Ahmed-Vall, M Abuzaina, MF Amin, J Bobba, RS Dubtsov, ... First International Workshop on Architectures for Intelligent Machines, http …, 2017 | 4 | 2017 |
| Automatic generation of assembly to IR translators using compilers N Hasabnis, R Sekar Workshop on Architectural and Microarchitectural Support for Binary Translation, 2015 | 4 | 2015 |
| Infrastructure for Architecture-Independent Binary Analysis and Transformation N Hasabnis | 3 | 2011 |
| Distributed MLPerf ResNet50 Training on Intel Xeon Architectures with TensorFlow W Wang, N Hasabnis The International Conference on High Performance Computing in Asia-Pacific …, 2021 | 2 | 2021 |
| Automatic Synthesis of Instruction Set Semantics and its Applications NS Hasabnis State University of New York at Stony Brook, 2015 | 2 | 2015 |
| Are machine programming systems using right source-code measures to select code repositories? N Hasabnis Proceedings of the 6th International Workshop on Machine Learning Techniques …, 2022 | 1 | 2022 |
| EPICS-DDS N Malitsky, J Shah, N Hasabnis Proc. of Particle Accelerator Conference, Vancouver, Canada, 2009 | 1 | 2009 |
| CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads M Hossain, D Mebratu, N Hasabnis, J Jin, G Chaudhary, N Shen arXiv preprint arXiv:2211.15739, 2022 | | 2022 |
| Methods and apparatus to automatically evolve a code recommendation engine J Gottschlich, N Hasabnis, P Petersen, S Zhou, C Lee US Patent App. 17/644,328, 2022 | | 2022 |
R. SekarProfessor of Computer Science, Stony Brook UniversityVerified email at cs.stonybrook.edu
