Saman Biookaghazadeh

11 papers B 1Misc 1Journal 2Unranked 7
YearRankTypeTitle / Venue / Authors
2021 B conf
Characterizing Loop Acceleration in Heterogeneous Computing.
CLOUD
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
2021 J jnl
Toward Multi-FPGA Acceleration of the Neural Networks.
ACM J. Emerg. Technol. Comput. Syst.
Saman Biookaghazadeh, Pravin Kumar Ravi, Ming Zhao
2019 Misc conf
Exploring the capabilities of mobile devices in supporting deep learning.
SEC
Yitao Chen, Saman Biookaghazadeh, Ming Zhao
2019 — conf
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks.
OpML
Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao
2018 — conf
Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?
HPDC (Posters/Doctoral Consortium)
Ragini Sharma, Saman Biookaghazadeh, Ming Zhao
2018 — conf
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices?
EDGE
Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao
2018 — conf
Are FPGAs Suitable for Edge Computing?
HotEdge
Saman Biookaghazadeh, Ming Zhao, Fengbo Ren
2018 J jnl
Are FPGAs Suitable for Edge Computing?
CoRR
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
2018 — conf
Exploring the Capabilities of Mobile Devices Supporting Deep Learning.
HPDC (Posters/Doctoral Consortium)
Yitao Chen, Saman Biookaghazadeh, Ming Zhao
2017 — conf
Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems.
NAS
Saman Biookaghazadeh, Shujia Zhou, Ming Zhao
2015 — conf
Enabling scientific data storage and processing on big-data systems.
IEEE BigData
Saman Biookaghazadeh, Yiqi Xu, Shujia Zhou, Ming Zhao
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling