| Data reorganization in memory using 3D-stacked DRAM B Akin, F Franchetti, JC Hoe ACM SIGARCH Computer Architecture News 43 (3), 131-143, 2015 | 235 | 2015 |
| 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 | 143 | 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, ... WoNDP, 2014 | 124* | 2014 |
| 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 | 123 | 2021 |
| An evaluation of edge tpu accelerators for convolutional neural networks A Yazdanbakhsh, B Akin, KK Seshadri | 96* | 2021 |
| Accelerator-aware neural network design using automl S Gupta, B Akin arXiv preprint arXiv:2003.02838, 2020 | 63 | 2020 |
| 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 | 60 | 2021 |
| 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 | 33 | 2012 |
| 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 | 28 | 2014 |
| 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 | 26* | |
| 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 | 25 | 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 | 23 | 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 | 21 | 2021 |
| 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 | 21 | 2019 |
| Hamlet architecture for parallel data reorganization in memory B Akin, F Franchetti, JC Hoe IEEE Micro 36 (1), 14-23, 2015 | 17 | 2015 |
| Apollo: Transferable architecture exploration A Yazdanbakhsh, C Angermueller, B Akin, Y Zhou, A Jones, M Hashemi, ... arXiv preprint arXiv:2102.01723, 2021 | 16 | 2021 |
| FFTs with near-optimal memory access through block data layouts B Akin, F Franchetti, JC Hoe Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014 | 16 | 2014 |
| FFTs with Near-Optimal Memory Access Through Block Data Layouts: Algorithm, Architecture and Design Automation B Akin, F Franchetti, JC Hoe Journal of Signal Processing Systems, 1-16, 2015 | 12 | 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 | 11 | 2022 |
| Memory system characterization of deep learning workloads Z Chishti, B Akin Proceedings of the International Symposium on Memory Systems, 497-505, 2019 | 11 | 2019 |
James C. HoeProfessor of Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at cmu.edu
