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

, , , and . IEEE BigData, page 1978-1984. IEEE Computer Society, (2015)

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Are FPGAs Suitable for Edge Computing?, , and . HotEdge, USENIX Association, (2018)Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices?, , , and . EDGE, page 42-49. IEEE Computer Society, (2018)Exploring the capabilities of mobile devices in supporting deep learning., , and . SEC, page 127-138. ACM, (2019)Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?, , and . HPDC (Posters/Doctoral Consortium), page 15-16. ACM, (2018)Characterizing Loop Acceleration in Heterogeneous Computing., , and . CLOUD, page 445-455. IEEE, (2021)Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems., , and . NAS, page 1-10. IEEE Computer Society, (2017)Exploring the Capabilities of Mobile Devices Supporting Deep Learning., , and . HPDC (Posters/Doctoral Consortium), page 17-18. ACM, (2018)Toward Multi-FPGA Acceleration of the Neural Networks., , and . ACM J. Emerg. Technol. Comput. Syst., 17 (2): 25:1-25:23 (2021)KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks., , , and . OpML, page 47-49. USENIX Association, (2019)Enabling scientific data storage and processing on big-data systems., , , and . IEEE BigData, page 1978-1984. IEEE Computer Society, (2015)