Cyclic Redundancy Checking (CRC) Accelerator for the FlexCore Processor. - Muhammad Waqar Azhar; Tung Thanh Hoang; Per Larsson-Edefors (DSD, 2010)

Viterbi Accelerator for Embedded Processor Datapaths. - Muhammad Waqar Azhar; Magnus Själander; Hasan Ali; Akshay Vijayashekar; Tung Thanh Hoang; Kashan Khurshid Ansari; Per Larsson-Edefors (ASAP, 2012)

SLOOP: QoS-Supervised Loop Execution to Reduce Energy on Heterogeneous Architectures. - Muhammad Waqar Azhar; Per Stenström; Vassilis Papaefstathiou (ACM Trans. Archit. Code Optim., 2017)

SaC: Exploiting Execution-Time Slack to Save Energy in Heterogeneous Multicore Systems. - Muhammad Waqar Azhar; Miquel Pericàs; Per Stenström (ICPP, 2019)

VSA: A Hybrid Vector-Systolic Architecture. - Mateo Vázquez Maceiras; Muhammad Waqar Azhar; Pedro Trancoso (ICCD, 2022)

FiBHA: Fixed Budget Hybrid CNN Accelerator. - Fareed Qararyah; Muhammad Waqar Azhar; Pedro Trancoso (SBAC-PAD, 2022)

Task-RM: A Resource Manager for Energy Reduction in Task-Parallel Applications under Quality of Service Constraints. - Muhammad Waqar Azhar; Miquel Pericàs; Per Stenström (ACM Trans. Archit. Code Optim., 2022)

ARADA: Adaptive Resource Allocation for Improving Energy Efficiency in Deep Learning Accelerators. - Muhammad Waqar Azhar; Stavroula Zouzoula; Pedro Trancoso (CF, 2023)

VEDLIoT: Next generation accelerated AIoT systems and applications. - Kevin Mika; René Griessl; Nils Kucza; Florian Porrmann; Martin Kaiser; Lennart Tigges; Jens Hagemeyer; Pedro Trancoso; Muhammad Waqar Azhar; Fareed Qararyah; Stavroula Zouzoula; Jämes Ménétrey; et al. (CF, 2023)

Evaluation of heterogeneous AIoT Accelerators within VEDLIoT. - René Griessl; Florian Porrmann; Nils Kucza; Kevin Mika; Jens Hagemeyer; Martin Kaiser; Mario Porrmann; Marco Tassemeier; Marcel Flottmann; Fareed Qararyah; Muhammad Waqar Azhar; Pedro Trancoso; et al. (DATE, 2023)

RAINBOW: Multi-Dimensional Hardware-Software Co-Design for DL Accelerator On-Chip Memory. - Stavroula Zouzoula; Muhammad Waqar Azhar; Pedro Trancoso (ISPASS, 2023)

Exploiting the Potential of Flexible Processing Units. - Mateo Vázquez; Muhammad Waqar Azhar; Pedro Trancoso (SBAC-PAD, 2023)

Approx-RM: Reducing Energy on Heterogeneous Multicore Processors under Accuracy and Timing Constraints. - Muhammad Waqar Azhar; Madhavan Manivannan; Per Stenström (ACM Trans. Archit. Code Optim., 2023)

DNNOPT: A Framework for Efficiently Selecting On-chip Memory Loop Optimizations of DNN Accelerators. - Piyumal Ranawaka; Muhammad Waqar Azhar; Per Stenström (CF, 2024)

Scratchpad Memory Management for Deep Learning Accelerators. - Stavroula Zouzoula; Mohammad Ali Maleki; Muhammad Waqar Azhar; Pedro Trancoso (ICPP, 2024)

Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs. - Fareed Qararyah; Muhammad Waqar Azhar; Mohammad Ali Maleki; Pedro Trancoso (ICPP Workshops, 2024)

Simulation of Quantum Computers: Review and Acceleration Opportunities. - Alessio Cicero; Mohammad Ali Maleki; Muhammad Waqar Azhar; Anton Frisk Kockum; Pedro Trancoso (CoRR, 2024)

Moving Forward: A Review of Autonomous Driving Software and Hardware Systems. - Xu Wang; Mohammad Ali Maleki; Muhammad Waqar Azhar; Pedro Trancoso (CoRR, 2024)

An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs. - Fareed Qararyah; Muhammad Waqar Azhar; Pedro Trancoso (ACM Trans. Archit. Code Optim., 2024)