| Are FPGAs Suitable for Edge Computing? S Biookaghazadeh, M Zhao, F Ren USENIX Workshop on Hot Topics in Edge Computing (HotEdge '18), 2018 | 136 | 2018 |
| MemBuilder: a web-based graphical interface to build heterogeneously mixed membrane bilayers for the GROMACS biomolecular simulation program MM Ghahremanpour, SS Arab, SB Aghazadeh, J Zhang, D van der Spoel Bioinformatics 30 (3), 439-441, 2014 | 70 | 2014 |
| Are existing knowledge transfer techniques effective for deep learning on edge devices? R Sharma, S Biookaghazadeh, M Zhao Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 69 | 2018 |
| Toward multi-fpga acceleration of the neural networks S Biookaghazadeh, PK Ravi, M Zhao ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (2), 1-23, 2021 | 37 | 2021 |
| Exploring the capabilities of mobile devices in supporting deep learning Y Chen, S Biookaghazadeh, M Zhao Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 127-138, 2019 | 33 | 2019 |
| Exploring the Capabilities of Mobile Devices Supporting Deep Learning Y Chen, S Biookaghazadeh, M Zhao Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 33 | 2018 |
| Enabling scientific data storage and processing on big-data systems S Biookaghazadeh, Y Xu, S Zhou, M Zhao 2015 IEEE International Conference on Big Data (Big Data), 1978-1984, 2015 | 7 | 2015 |
| Kaleido: Enabling efficient scientific data processing on big-data systems S Biookaghazadeh, S Zhou, M Zhao 2017 International Conference on Networking, Architecture, and Storage (NAS …, 2017 | 5 | 2017 |
| {KnowledgeNet}: Disaggregated and Distributed Training and Serving of Deep Neural Networks S Biookaghazadeh, Y Chen, K Zhao, M Zhao 2019 USENIX Conference on Operational Machine Learning (OpML 19), 47-49, 2019 | 4 | 2019 |
| Techniques and systems for local independent failure domains R Rangaswami, SB Aghazadeh, S Lyons US Patent 9,652,345, 2017 | 4 | 2017 |
| Characterizing Loop Acceleration in Heterogeneous Computing S Biookaghazadeh, F Ren, M Zhao 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 445-455, 2021 | | 2021 |
| FPGA-Based Edge-Computing Acceleration S Biookaghazadeh Arizona State University, 2021 | | 2021 |
| 12th USENIX Conference on File and Storage Technologies C IX | | 2014 |
| Heterogenous Accelerated Deep Learning On Spark S Biookaghazadeh, W Li | | |
| 2021 IEEE 14th International Conference on Cloud Computing (CLOUD)| 978-1-6654-0060-2/21/$31.00© 2021 IEEE| DOI: 10.1109/CLOUD53861. 2021.00102 F Abel, V Abeykoon, V Agarwal, P Aggarwal, AKM Alam, N Alipour, ... | | |
| ICDCS 2020 E Alchieri, N Alhaddad, A Alnafessah, Y Amoussou-Guenou, H Asif, ... | | |
| LoopBench: An Evaluation of Loop Acceleration in Heterogeneous Systems S Biookaghazadeh, F Ren, M Zhao | | |
Ming ZhaoAssociate Professor, Arizona State UniversityAdresse e-mail validée de asu.edu