13 Papers
33 Citations
Sen Du is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Speedup & Deep learning. The author has an hindex of 5, co-authored 13 publications.
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Papers
An efficient convolutional neural network for small traffic sign detection
TL;DR: An efficient convolutional neural network (CNN) is proposed, which can remarkably minimize the redundancy, reduce the parameters and speed up the networks, and is proved with experiments on a Tsinghua-Tencent 100K traffic sign dataset.
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FPGA based acceleration of game theory algorithm in edge computing for autonomous driving
TL;DR: This paper implements the Lemke-Howson algorithm in game theory on FPGA to accelerate the computation process, and explains the design challenges of solving the performance bottleneck and how to make optimizations.
26
A geographical hierarchy greedy routing strategy for vehicular big data communications over millimeter wave
TL;DR: This work proposes a geographical hierarchy greedy routing algorithm for inter-vehicle mmWave communications that makes use of geographical information for relay determination while maintaining the high throughput and ensuring the channel stability of mmWave.
13
A Case Study of Accelerating Apache Spark with FPGA
Junjie Hou,Yongxin Zhu,Linghe Kong,Zhe Wang,Sen Du,Shijin Song,Tian Huang +6 more
- 01 Aug 2018
TL;DR: FPGA is used to accelerate the Spark tasks developed with Python, and in this way, the main computing load is performed on FPGA instead of CPU.
12
Design and implementation of reconfigurable acceleration for in-memory distributed big data computing
TL;DR: A framework to integrate FPGA accelerators into a Spark cluster, which achieves performance improvement and power dissipation reduction for distributed applications and a method for connecting Spark with OpenCL application which is a standard for cross-platform, parallel programming of diverse processors and widely used in heterogeneous computing.
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