Flying IoT: Toward Low-Power Vision in the Sky. - Hasan Genc; Yazhou Zu; Ting-Wu Chin; Matthew Halpern; Vijay Janapa Reddi (IEEE Micro, 2017)

MAVBench: Micro Aerial Vehicle Benchmarking. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (MICRO, 2018)

Domain-Specific Approximation for Object Detection. - Ting-Wu Chin; Chia-Lin Yu; Matthew Halpern; Hasan Genc; Shiao-Li Tsao; Vijay Janapa Reddi (IEEE Micro, 2018)

MAVBench: Micro Aerial Vehicle Benchmarking. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Wenzhi Cui; Marcelino Almeida; Kayvan Mansoorshahi; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

The Role of Compute in Autonomous Aerial Vehicles. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Bardienus Pieter Duisterhof; Brian Plancher; Kayvan Mansoorshahi; Marcelino Almeida; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. - Hasan Genc; Ameer Haj-Ali; Vighnesh Iyer; Alon Amid; Howard Mao; John Charles Wright; Colin Schmidt 001; Jerry Zhao; Albert J. Ou; Max Banister; Yakun Sophia Shao; Borivoje Nikolic; et al. (CoRR, 2019)

ProTuner: Tuning Programs with Monte Carlo Tree Search. - Ameer Haj-Ali; Hasan Genc; Qijing Huang 001; William S. Moses; John Wawrzynek; Krste Asanovic; Ion Stoica (CoRR, 2020)

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. - Hasan Genc; Seah Kim; Alon Amid; Ameer Haj-Ali; Vighnesh Iyer; Pranav Prakash; Jerry Zhao; Daniel Grubb; Harrison Liew; Howard Mao; Albert J. Ou; Colin Schmidt 001; et al. (DAC, 2021)

A 16mm2 106.1 GOPS/W Heterogeneous RISC-V Multi-Core Multi-Accelerator SoC in Low-Power 22nm FinFET. - Abraham Gonzalez; Jerry Zhao; Ben Korpan; Hasan Genc; Colin Schmidt 001; John Charles Wright; Ayan Biswas; Alon Amid; Farhana Sheikh; Anton Sorokin; Sirisha Kale; Mani Yalamanchi; et al. (ESSCIRC, 2021)

The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Bardienus Pieter Duisterhof; Brian Plancher; Kayvan Mansoorshahi; Marcelino Almeida; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (ACM Trans. Comput. Syst., 2021)

Exocompilation for productive programming of hardware accelerators. - Yuka Ikarashi; Gilbert Louis Bernstein; Alex Reinking; Hasan Genc; Jonathan Ragan-Kelley (PLDI, 2022)

Efficient Transformer Inference with Statically Structured Sparse Attention. - Steve Dai; Hasan Genc; Rangharajan Venkatesan; Brucek Khailany (DAC, 2023)

MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks. - Seah Kim; Hasan Genc; Vadim Vadimovich Nikiforov; Krste Asanovic; Borivoje Nikolic; Yakun Sophia Shao (HPCA, 2023)

Full Stack Optimization of Transformer Inference: a Survey. - Sehoon Kim; Coleman Hooper; Thanakul Wattanawong; Minwoo Kang; Ruohan Yan; Hasan Genc; Grace Dinh; Qijing Huang 001; Kurt Keutzer; Michael W. Mahoney; Yakun Sophia Shao; Amir Gholami (CoRR, 2023)

Code Transpilation for Hardware Accelerators. - Yuto Nishida; Sahil Bhatia; Shadaj Laddad; Hasan Genc; Yakun Sophia Shao; Alvin Cheung (CoRR, 2023)

SPEED: Speculative Pipelined Execution for Efficient Decoding. - Coleman Hooper; Sehoon Kim; Hiva Mohammadzadeh; Hasan Genc; Kurt Keutzer; Amir Gholami; Yakun Sophia Shao (CoRR, 2023)

Stellar: An Automated Design Framework for Dense and Sparse Spatial Accelerators. - Hasan Nazim Genc; Hansung Kim 004; Prashanth Ganesh; Yakun Sophia Shao (MICRO, 2024)

Enabling Full-Stack DNN Accelerator Design and Evaluation on Synthesizable Hardware - Hasan Nazim Genc (2024)