Saman Biookaghazadeh

According to our database, Saman Biookaghazadeh authored at least 9 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Toward Multi-FPGA Acceleration of the Neural Networks.

Saman Biookaghazadeh, Pravin Kumar Ravi, Ming Zhao

ACM J. Emerg. Technol. Comput. Syst., 2021

Characterizing Loop Acceleration in Heterogeneous Computing.

Saman Biookaghazadeh, Fengbo Ren, Ming Zhao

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2019

KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks.

Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Exploring the capabilities of mobile devices in supporting deep learning.

Yitao Chen, Saman Biookaghazadeh, Ming Zhao

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018

Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?

Ragini Sharma, Saman Biookaghazadeh, Ming Zhao

Proceedings of the Poster Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Are FPGAs Suitable for Edge Computing?

Saman Biookaghazadeh, Ming Zhao, Fengbo Ren

Proceedings of the USENIX Workshop on Hot Topics in Edge Computing, 2018

Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices?

Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao

Proceedings of the 2018 IEEE International Conference on Edge Computing, 2018

2017

Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems.

Saman Biookaghazadeh, Shujia Zhou, Ming Zhao

Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

2015

Enabling scientific data storage and processing on big-data systems.

Saman Biookaghazadeh, Yiqi Xu, Shujia Zhou, Ming Zhao

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015