| Maximizing hardware prefetch effectiveness with machine learning S Rahman, M Burtscher, Z Zong, A Qasem 2015 IEEE 17th International Conference on High Performance Computing and …, 2015 | 51 | 2015 |
| A Machine Learning Approach to Automatic Creation of Architecture-Sensitive Performance Heuristics BK Saha, TA Connors, S Rahman, A Qasem 2017 IEEE 19th International Conference on High Performance Computing and …, 2017 | 3 | 2017 |
| Neural network methods for fast and portable prediction of CPU power consumption M Gutierrez, S Rahman, D Tamir, A Qasem 2015 Sixth International Green and Sustainable Computing Conference (IGSC), 1-4, 2015 | 2 | 2015 |
| Enhancing Learning-based Autotuning with Composite and Diagnostic Feature Vectors S Rahman, R Hay, MA Gutierrez, A Qasem 26th International Conference on High Performance Computing, Networking …, 2013 | 1 | 2013 |
| An Exploration into the Effectiveness of Prefetching on Program Performance with the Help of an Autotuning Model S Rahman | | 2015 |
| Selecting the Optimal Hardware Prefetching Algorithm for Parallel Workloads S Rahman Proceedings of the 46th ACM Technical Symposium on Computer Science …, 2015 | | 2015 |
| MLTUNE: A Tool-chain for Automating the Workflow of Machine-Learning Based Performance Tuning BK Saha, S Rahman, A Qasem | | |
| Investigating Prefetch Potential on the Xeon Phi with Autotuning S Rahman, Z Zong, A Qasem | | |
