基本信息
浏览量:105

个人简介
Yogish Sabharwal received the PhD degree from the Indian Institute of
Technology (IIT) Delhi, in 2007, in the area of approximation algorithms in computational geometry. He has more than
19 years of experience in the areas of high performance computing, networking, and telecom. He has been with IBM
Research for 13 years where he currently manages the High Performance Computing and Modelling group working on
applying HPC to areas in deep learning, graph algorithms, and environmental science. He also holds adjunct faculty
positions at Delhi University and Indian Institute of Technology Delhi, where he teaches courses in algorithms,
combinatorial optimization, and parallel computing.
研究兴趣
论文共 106 篇作者统计合作学者相似作者
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PROCEEDINGS OF 7TH JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MANAGEMENT OF DATA, CODS-COMAD 2024pp.586-587, (2024)
International Conference on High Performance Computing, Data, and Analyticspp.127-128, (2024)
International Conference on High Performance Computing, Data, and Analyticspp.215-216, (2024)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022) (2022)
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作者统计
#Papers: 106
#Citation: 2142
H-Index: 24
G-Index: 44
Sociability: 5
Diversity: 2
Activity: 15
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