Bingsheng He

Professor at National University of Singapore

Singapore
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Summary

👤
Senior
🎓
Top School
Bingsheng He is a professor and systems researcher with a Ph.D. focused on designing, implementing and optimizing parallel and distributed systems for large-scale data processing. With a trajectory from Microsoft Research Asia to Nanyang Technological University and now the National University of Singapore—where he serves as Vice Dean (Research)—he has a strong publication record in top venues (e.g., SIGMOD, VLDB, SC) and a knack for translating research into open-source systems. His work targets faster, greener and more scalable systems using emerging hardware (GPUs, many-core CPUs), exemplified by influential projects like GPUQP and ThunderSVM that have seen notable community attention. He combines deep systems-building experience with multidisciplinary collaborations and leadership in academia, and often drives system design from real-world application needs.
code8 years of coding experience
job14 years of employment as a software developer
bookBachelor of Computer Science and Technology, Bachelor of Computer Science and Technology at Shanghai Jiao Tong University
bookHong Kong University of Science and Technology (HKUST)
languagesChinese, Chinese, English
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Github Skills (14)

cuda10
regression10
libsvm10
svm10
xilinx10
gpu10
random-forest10
classification10
gnn9
graph-neural-network9
machine-learning9
graph9
gpu-acceleration5
deep-neural-networks4

Programming languages (3)

C++HTMLCuda

Github contributions (5)

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Xtra-Computing/G3

Jun 2020 - Aug 2020

G3: A Programmable GNN Training System on GPU
Contributions:1 release, 6 commits, 10 pushes in 2 months
gnngpugunrockgnn-architecturesgraph-neural-network
bingshenghe/thundersvm

Nov 2017 - Mar 2018

Contributions:2 pushes in 4 months
cudasvmgpugpuscpus
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