Toward Multi-FPGA Acceleration of the Neural Networks.

Saman Biookaghazadeh

Saman Biookaghazadeh Pravin Kumar Ravi Ming Zhao 0002 Toward Multi-FPGA Acceleration of the Neural Networks. 25:1-25:23 2021 17 ACM J. Emerg. Technol. Comput. Syst. 2 https://doi.org/10.1145/3432816 https://www.wikidata.org/entity/Q130825687 db/journals/jetc/jetc17.html#BiookaghazadehR21

Saman Biookaghazadeh Fengbo Ren Ming Zhao 0002 Characterizing Loop Acceleration in Heterogeneous Computing. 445-455 2021 CLOUD https://doi.org/10.1109/CLOUD53861.2021.00059 conf/IEEEcloud/2021 db/conf/IEEEcloud/IEEEcloud2021.html#BiookaghazadehR21 Yitao Chen Saman Biookaghazadeh Ming Zhao 0002 Exploring the capabilities of mobile devices in supporting deep learning. 127-138 2019 SEC https://doi.org/10.1145/3318216.3363316 conf/edge/2019sec db/conf/edge/sec2019.html#ChenB019 Saman Biookaghazadeh Yitao Chen Kaiqi Zhao 0002 Ming Zhao 0002 KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. 47-49 2019 OpML https://www.usenix.org/conference/opml19/presentation/biookaghazadeh conf/opml/2019 db/conf/opml/opml2019.html#BiookaghazadehC19 Ragini Sharma Saman Biookaghazadeh Baoxin Li Ming Zhao 0002 Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? 42-49 2018 EDGE https://doi.org/10.1109/EDGE.2018.00013 https://doi.ieeecomputersociety.org/10.1109/EDGE.2018.00013 conf/edge/2018 db/conf/edge/edge2018.html#SharmaBLZ18 Saman Biookaghazadeh Ming Zhao 0002 Fengbo Ren Are FPGAs Suitable for Edge Computing? 2018 HotEdge https://www.usenix.org/conference/hotedge18/presentation/biookaghazadeh conf/hotedge/2018 db/conf/hotedge/hotedge2018.html#Biookaghazadeh018 Ragini Sharma Saman Biookaghazadeh Ming Zhao 0002 Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? 15-16 2018 HPDC (Posters/Doctoral Consortium) https://doi.org/10.1145/3220192.3220459 conf/hpdc/2018p db/conf/hpdc/hpdc2018p.html#SharmaB018 Yitao Chen Saman Biookaghazadeh Ming Zhao 0002 Exploring the Capabilities of Mobile Devices Supporting Deep Learning. 17-18 2018 HPDC (Posters/Doctoral Consortium) https://doi.org/10.1145/3220192.3220460 conf/hpdc/2018p db/conf/hpdc/hpdc2018p.html#ChenB018

Saman Biookaghazadeh Fengbo Ren Ming Zhao 0002 Are FPGAs Suitable for Edge Computing? 2018 abs/1804.06404 CoRR http://arxiv.org/abs/1804.06404 db/journals/corr/corr1804.html#abs-1804-06404

Saman Biookaghazadeh Shujia Zhou Ming Zhao 0002 Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems. 1-10 2017 NAS https://doi.org/10.1109/NAS.2017.8026864 https://doi.ieeecomputersociety.org/10.1109/NAS.2017.8026864 conf/nas/2017 db/conf/nas/nas2017.html#BiookaghazadehZ17 Saman Biookaghazadeh Yiqi Xu Shujia Zhou Ming Zhao 0002 Enabling scientific data storage and processing on big-data systems. 1978-1984 2015 IEEE BigData https://doi.org/10.1109/BigData.2015.7363978 conf/bigdataconf/2015 db/conf/bigdataconf/bigdataconf2015.html#BiookaghazadehX15 Yitao Chen Baoxin Li Pravin Kumar Ravi Fengbo Ren Ragini Sharma Yiqi Xu Kaiqi Zhao 0002 Ming Zhao 0002 Shujia Zhou