| Crono: A benchmark suite for multithreaded graph algorithms executing on futuristic multicores M Ahmad, F Hijaz, Q Shi, O Khan 2015 IEEE International Symposium on Workload Characterization, 44-55, 2015 | 137 | 2015 |
| Synchronization and circuit design of a chaotic system with coexisting hidden attractors M Shahzad, VT Pham, MA Ahmad, S Jafari, F Hadaeghi The European Physical Journal Special Topics 224 (8), 1637-1652, 2015 | 95 | 2015 |
| Advancing the state-of-the-art in hardware trojans detection SK Haider, C Jin, M Ahmad, DM Shila, O Khan, M van Dijk IEEE Transactions on Dependable and Secure Computing 16 (1), 18-32, 2017 | 68 | 2017 |
| Non-invasive blood glucose monitoring using near-infrared spectroscopy M Ahmad, A Kamboh, A Khan EDN Network, 2013 | 43 | 2013 |
| Accelerating graph and machine learning workloads using a shared memory multicore architecture with auxiliary support for in-hardware explicit messaging H Dogan, F Hijaz, M Ahmad, B Kahne, P Wilson, O Khan 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 26 | 2017 |
| Gpu concurrency choices in graph analytics M Ahmad, O Khan 2016 IEEE International Symposium on Workload Characterization (IISWC), 1-10, 2016 | 25 | 2016 |
| GraphTuner: An input dependence aware loop perforation scheme for efficient execution of approximated graph algorithms H Omar, M Ahmad, O Khan 2017 IEEE International Conference on Computer Design (ICCD), 201-208, 2017 | 19 | 2017 |
| Accelerating synchronization using moving compute to data model at 1,000-core multicore scale H Dogan, M Ahmad, B Kahne, O Khan ACM Transactions on Architecture and Code Optimization (TACO) 16 (1), 1-27, 2019 | 17 | 2019 |
| Heteromap: A runtime performance predictor for efficient processing of graph analytics on heterogeneous multi-accelerators M Ahmad, H Dogan, CJ Michael, O Khan 2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019 | 15 | 2019 |
| Efficient parallelization of path planning workload on single-chip shared-memory multicores M Ahmad, K Lakshminarasimhan, O Khan 2015 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2015 | 14 | 2015 |
| Efficient situational scheduling of graph workloads on single-chip multicores and gpus M Ahmad, CJ Michael, O Khan IEEE Micro 37 (1), 30-40, 2017 | 12 | 2017 |
| Hatch: A formal framework of hardware trojan design and detection SK Haider, C Jin, M Ahmad, DM Shila, O Khan, M van Dijk University of Connecticut Cryptology ePrint Archive Technical Report 943, 2014 | 12 | 2014 |
| Declarative resilience: A holistic soft-error resilient multicore architecture that trades off program accuracy for efficiency H Omar, Q Shi, M Ahmad, H Dogan, O Khan ACM Transactions on Embedded Computing Systems (TECS) 17 (4), 1-27, 2018 | 11 | 2018 |
| HaTCh: Hardware Trojan Catcher. SK Haider, C Jin, M Ahmad, DM Shila, O Khan, M van Dijk IACR Cryptol. ePrint Arch. 2014, 943, 2014 | 9 | 2014 |
| Exploring the performance implications of memory safety primitives in many-core processors executing multi-threaded workloads M Ahmad, SK Haider, F Hijaz, M van Dijk, O Khan Proceedings of the Fourth Workshop on Hardware and Architectural Support for …, 2015 | 7 | 2015 |
| Exploring accelerator and parallel graph algorithmic choices for temporal graphs A Rehman, M Ahmad, O Khan Proceedings of the Eleventh International Workshop on Programming Models and …, 2020 | 6 | 2020 |
| Accelerating synchronization in graph analytics using moving compute to data model on Tilera TILE-Gx72 H Dogan, M Ahmad, J Joao, O Khan 2018 IEEE 36th International Conference on Computer Design (ICCD), 496-505, 2018 | 6 | 2018 |
| A case for a situationally adaptive many-core execution model for cognitive computing workloads M Ahmad, CJ Michael, O Khan Proc. 2nd Workshop Cognitive Architectures (CogArch 16), 2016 | 5 | 2016 |
| Accelerating relax-ordered task-parallel workloads using multi-level dependency checking M Ahmad, M Shan, A Rehman, O Khan Proceedings of the 34th ACM International Conference on Supercomputing, 1-11, 2020 | 3 | 2020 |
| In-hardware moving compute to data model to accelerate thread synchronization on large multicores M Ahmad, H Dogan, JA Joao, O Khan IEEE Micro 40 (1), 83-92, 2019 | 2 | 2019 |
Omer KhanProfessor, University of Connecticut在 uconn.edu 的电子邮件经过验证
