( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud.

, , , , , , , и . FCCM, стр. 102-110. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Jiong Guo

Guo Cheng

Xinrong Guo

Xin Guo

Baoliang Guo

 

Другие публикации лиц с тем же именем

Efficient Autonomous Driving System Design: From Software to Hardware., , , , , , , , и . ISVLSI, стр. 373-375. IEEE, (2022)Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China., , , , и . Remote. Sens., 16 (13): 2456 (июля 2024)Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware., , , , , , и . ISVLSI, стр. 24-29. IEEE Computer Society, (2016)Efficient Computing Platform Design for Autonomous Driving Systems., , , , , , , , , и . ASP-DAC, стр. 734-741. ACM, (2021)Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA., , , , , , и . FPT, стр. 227-230. IEEE, (2017)Compressed CNN Training with FPGA-based Accelerator., , , , , , и . FPGA, стр. 189. ACM, (2019)Real-time object detection towards high power efficiency., , , , , , , , , и 1 other автор(ы). DATE, стр. 704-708. IEEE, (2018)Real-Time Pedestrian Detection and Tracking on Customized Hardware., , , , , , , и . ESTIMedia, стр. 1. ACM, (2016)RRAM Based Buffer Design for Energy Efficient CNN Accelerator., , , , , и . ISVLSI, стр. 435-440. IEEE Computer Society, (2018)Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud., , , , , , , и . FCCM, стр. 102-110. IEEE, (2020)