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co-supported by Excellent Young Scientists Fund of National Natural Science Foundation of China(82022073);Major scientific and technological R&D projects in Jiangxi Province(20203ABC28W018);National Natural Science Foundation of China(82274110);the Fundamental Research Funds for the Central Universities(2022-JYB-JBZR-018,2022-JYB-JBZR-019).
This study reported an original end-to-end dataflow engineering framework for the quality transfer principle to overcome the quality challenges in real-world honey manufacturing.Firstly,650 pivotal data points of phys...
This work is supported by the National Key Research and Development Program of China under Grant No.2023YFB4503400;the National Natural Science Foundation of China under Grant Nos.62322205,62072195,and 61825202.
Data race is one of the most important concurrent anomalies in multi-threaded programs.Emerging con-straint-based techniques are leveraged into race detection,which is able to find all the races that can be found by a...
This work were supported in part by the National Natural Science Foundation of China(No.61572191);Natural Science Foundation of Hunan Province(Nos.2022JJ30398,2022JJ40277 and 2022JJ40278);Scientific Research Fund of Hunan Provincial Education Department(No.17A130).
Edge computing can alleviate the problem of insufficient computational resources for the user equipment,improve the network processing environment,and promote the user experience.Edge computing is well known as a pros...
This work was supported by the Project of the State Grid Corporation of China in 2020"Integration Technology Research and Prototype Development for High End Controller Chip"under Grant No.5700-202041264A-0-0-00.
The dataflow architecture,which is characterized by a lack of a redundant unified control logic,has been shown to have an advantage over the control-flow architecture as it improves the computational performance and p...
This work was supported by National Natural Science Foundation of China(Grant Nos.51761135015,U1839206);Center for High Performance Computing and System Simulation,Pilot National Laboratory for Marine Science and Technology(Qingdao),Intel,Maxeler,Xilinx,and the United Kingdom EPSRC(Grant Nos.EP/L016796/1,EP/N031768/1,EP/P010040/1,EP/S030069/1);We would also like to thank Dr.Bastiaan Willem Kwaadgras,Dr.Pavel Burovskiy from Maxeler Technologies,Dr.Wenqiang ZHANG from University of Science and Technology of China,and Prof.Wei ZHANG,Prof.Xiaofei CHEN from Southern University of Science and Technology for their support.
With HPC(high performance computing)evolving into the exascale era,improvements in computing performance and power efficiency have become increasingly more important.Based on our previous work on enabling earthquake s...
supported in part by the National Natural Science Foundation of China (No.61872038)。
The pervasiveness of the smart Internet of Things(IoTs) enables many electric sensors and devices to be connected and generates a large amount of dataflow. Compared with traditional big data, the streaming dataflow is...
supported by NSFC with Grant No. 61702493, 51707191;Science and Technology Planning Project of Guangdong Province with Grant No. 2018B030338001;Shenzhen S&T Funding with Grant No. KQJSCX20170731163915914;Basic Research Program No. JCYJ20170818164527303, JCYJ20180507182619669;SIAT Innovation Program for Excellent Young Researchers with Grant No. 2017001
Driven by continuous scaling of nanoscale semiconductor technologies,the past years have witnessed the progressive advancement of machine learning techniques and applications.Recently,dedicated machine learning accele...
This work was supported by the National Key Research and Development Program of China under Grant No. 2016YFB0200501, tile National Natural Science Foundation of China under Grant Nos. 61332009 and 61521092, the Open Project Program of State Key Laboratory of Mathematical Engineering and Advanced Computing under Grant No. 2016A04 and tile Beijing Municipal Science and Technology Commission under Grant No. Z15010101009, the Open Project Program of State Key Laboratory of Computer Architecture under Grant No. CARCH201503, China Scholarship Council, and Beijing Advanced hmovation Center for hnaging Technology.
With the coming of exascale supercomputing era, power efficiency has become the most important obstacle to build an exascale system. Dataflow architecture has native advantage in achieving high power efficiency for sc...