Data reorganization in memory using 3D-stacked DRAM B Akin, F Franchetti, JC Hoe ACM SIGARCH Computer Architecture News 43 (3), 131-143, 2015 | 255 | 2015 |
Mobiledets: Searching for object detection architectures for mobile accelerators Y Xiong, H Liu, S Gupta, B Akin, G Bender, Y Wang, PJ Kindermans, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 169 | 2021 |
An evaluation of edge tpu accelerators for convolutional neural networks A Yazdanbakhsh, K Seshadri, B Akin, J Laudon, R Narayanaswami arXiv preprint arXiv:2102.10423 1 (6), 2021 | 152* | 2021 |
A 3D-stacked logic-in-memory accelerator for application-specific data intensive computing Q Zhu, B Akin, HE Sumbul, F Sadi, JC Hoe, L Pileggi, F Franchetti 3D Systems Integration Conference (3DIC), 2013 IEEE International, 1-7, 2013 | 150 | 2013 |
3D-stacked memory-side acceleration: Accelerator and system design Q Guo, N Alachiotis, B Akin, F Sadi, G Xu, TM Low, L Pileggi, JC Hoe, ... 2nd Workshop on Near Data Processing, WONDP 2014, 2014 | 131* | 2014 |
Google neural network models for edge devices: Analyzing and mitigating machine learning inference bottlenecks A Boroumand, S Ghose, B Akin, R Narayanaswami, GF Oliveira, X Ma, ... 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 90 | 2021 |
Accelerator-aware neural network design using automl S Gupta, B Akin arXiv preprint arXiv:2003.02838, 2020 | 90 | 2020 |
MobileNetV4: Universal Models for the Mobile Ecosystem D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ... European Conference on Computer Vision, 78-96, 2025 | 57 | 2025 |
Memory bandwidth efficient two-dimensional fast Fourier transform algorithm and implementation for large problem sizes B Akin, PA Milder, F Franchetti, JC Hoe 2012 IEEE 20th International Symposium on Field-Programmable Custom …, 2012 | 37 | 2012 |
Rethinking co-design of neural architectures and hardware accelerators Y Zhou, X Dong, B Akin, M Tan, D Peng, T Meng, A Yazdanbakhsh, ... arXiv preprint arXiv:2102.08619, 2021 | 33 | 2021 |
Mitigating edge machine learning inference bottlenecks: An empirical study on accelerating google edge models A Boroumand, S Ghose, B Akin, R Narayanaswami, GF Oliveira, X Ma, ... arXiv preprint arXiv:2103.00768, 2021 | 32 | 2021 |
Discovering multi-hardware mobile models via architecture search G Chu, O Arikan, G Bender, W Wang, A Brighton, PJ Kindermans, H Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
Understanding the design space of dram-optimized hardware FFT accelerators B Akin, F Franchetti, JC Hoe Application-specific Systems, Architectures and Processors (ASAP), 2014 IEEE …, 2014 | 29 | 2014 |
Zcomp: Reducing dnn cross-layer memory footprint using vector extensions B Akin, ZA Chishti, AR Alameldeen Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 28 | 2019 |
Apollo: Transferable architecture exploration A Yazdanbakhsh, C Angermueller, B Akin, Y Zhou, A Jones, M Hashemi, ... arXiv preprint arXiv:2102.01723, 2021 | 27 | 2021 |
Hamlet: Hardware accelerated memory layout transform within 3d-stacked dram B Akın, JC Hoe, F Franchetti High Performance Extreme Computing Conference (HPEC), 2014 IEEE, 0 | 27* | |
Mobilenetv4-universal models for the mobile ecosystem. arXiv 2024 D Qin, C Leichner, M Delakis, M Fornoni, S Luo, F Yang, W Wang, ... arXiv preprint arXiv:2404.10518, 0 | 23 | |
Hamlet architecture for parallel data reorganization in memory B Akin, F Franchetti, JC Hoe IEEE Micro 36 (1), 14-23, 2015 | 19 | 2015 |
Towards the co-design of neural networks and accelerators Y Zhou, X Dong, T Meng, M Tan, B Akin, D Peng, A Yazdanbakhsh, ... Proceedings of Machine Learning and Systems 4, 141-152, 2022 | 18 | 2022 |
Apparatus and method for a tensor permutation engine B Akin US Patent 10,908,906, 2021 | 17 | 2021 |