SLOOP: QoS-supervised loop execution to reduce energy on heterogeneous architectures MW Azhar, P Stenström, V Papaefstathiou ACM Transactions on Architecture and Code Optimization (TACO) 14 (4), 1-25, 2017 | 13 | 2017 |
SaC: Exploiting execution-time slack to save energy in heterogeneous multicore systems MW Azhar, M Pericàs, P Stenström Proceedings of the 48th International Conference on Parallel Processing, 1-12, 2019 | 12 | 2019 |
Viterbi accelerator for embedded processor datapaths MW Azhar, M Själander, H Ali, A Vijayashekar, TT Hoang, KK Ansari, ... 2012 IEEE 23rd International Conference on Application-Specific Systems …, 2012 | 10 | 2012 |
Task-RM: a resource manager for energy reduction in task-parallel applications under quality of service constraints MW Azhar, M Pericàs, P Stenström ACM Transactions on Architecture and Code Optimization (TACO) 19 (1), 1-26, 2022 | 9 | 2022 |
FiBHA: Fixed Budget Hybrid CNN Accelerator PT Fareed Qararyah, Muhammad Waqar Azhar 2022 IEEE 34th International Symposium on Computer Architecture and High …, 2022 | 7* | 2022 |
Cyclic redundancy checking (CRC) accelerator for the FlexCore processor MW Azhar, TT Hoang, P Larsson-Edefors 2010 13th Euromicro Conference on Digital System Design: Architectures …, 2010 | 7 | 2010 |
VSA: A Hybrid Vector-Systolic Architecture PT Mateo Vázquez Maceiras, Muhammad Waqar Azhar 2022 IEEE 40th International Conference on Computer Design (ICCD), 2022 | 4 | 2022 |
An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs PT Fareed Qararyah, Muhammad Waqar Azhar Transactions on Architecture and Code Optimization, 2024 | 3* | 2024 |
Approx-RM: Reducing Energy on Heterogeneous Multicore Processors under Accuracy and Timing Constraints MW Azhar, M Manivannan, P Stenström ACM Transactions on Architecture and Code Optimization 20 (3), 1-25, 2023 | 3 | 2023 |
VEDLIoT: Next generation accelerated AIoT systems and applications K Mika, R Griessl, N Kucza, F Porrmann, M Kaiser, L Tigges, ... Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 3 | 2023 |
Moving Forward: A Review of Autonomous Driving Software and Hardware Systems X Wang, MA Maleki, MW Azhar, P Trancoso arXiv preprint arXiv:2411.10291, 2024 | 2 | 2024 |
ARADA: Adaptive Resource Allocation for Improving Energy Efficiency in Deep Learning Accelerators MW Azhar, S Zouzoula, P Trancoso CF '23: Proceedings of the 20th ACM International Conference on Computing …, 2023 | 1 | 2023 |
RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory S Zouzoula, MW Azhar, P Trancoso 2023 IEEE International Symposium on Performance Analysis of Systems and …, 2023 | 1 | 2023 |
arXiv: Simulation of Quantum Computers: Review and Acceleration Opportunities A Cicero, P Trancoso, MW Azhar, AF Kockum, MA Maleki | | 2024 |
Simulation of Quantum Computers: Review and Acceleration Opportunities A Cicero, MA Maleki, MW Azhar, AF Kockum, P Trancoso arXiv preprint arXiv:2410.12660, 2024 | | 2024 |
Scratchpad Memory Management for Deep Learning Accelerators S Zouzoula, MA Maleki, MW Azhar, P Trancoso Proceedings of the 53rd International Conference on Parallel Processing, 629-639, 2024 | | 2024 |
Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs F Qararyah, MW Azhar, MA Maleki, P Trancoso Workshop Proceedings of the 53rd International Conference on Parallel …, 2024 | | 2024 |
DNNOPT: A Framework for Efficiently Selecting On-chip Memory Loop Optimizations of DNN Accelerators P Ranawaka, MW Azhar, P Stenstrom Proceedings of the 21st ACM International Conference on Computing Frontiers …, 2024 | | 2024 |
An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs F Mohammad Qararyah, M Azhar, P Petersen Moura Trancoso | | 2024 |
Exploiting the Potential of Flexible Processing Units M Vázquez, MW Azhar, P Trancoso 2023 IEEE 35th International Symposium on Computer Architecture and High …, 2023 | | 2023 |