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Muhammad Waqar Azhar
Muhammad Waqar Azhar
Other namesM Waqar Azhar, M Waqar
Computer Architect, ZeroPoint Technologies
Verified email at zptcorp.com - Homepage
Title
Cited by
Cited by
Year
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
132017
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
122019
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
102012
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
92022
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
72010
VSA: A Hybrid Vector-Systolic Architecture
PT Mateo Vázquez Maceiras, Muhammad Waqar Azhar
2022 IEEE 40th International Conference on Computer Design (ICCD), 2022
42022
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
32023
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
32023
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
22024
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
12023
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
12023
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
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