Company Badge
USPTO Data Jan 1 1976 - Oct 20 2026
8 Patents
#248 in Singapore
#248 in Singapore
Institute of High Performance Computing
Forward Citations = 95
20 inventors:
Institute of High Performance Computing
% Expired Patents = 62.5
Forward Citations = 95
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20 inventors (with patents filed for the assignee):
Diao Xu (3 out of 3 patents)
Khin Yong Lam (3 out of 3 patents)
Teng Yong Ng (3 out of 3 patents)
4. Yu Wang (1 out of 9 patents)
5. Ping Wu (1 out of 2 patents)
6. Gui Rong Liu (1 out of 1 patent)
7. Chun Lu (1 out of 1 patent)
8. Kwang Peng Quek (1 out of 1 patent)
9. Yoshihisa Noguchi (1 out of 1 patent)
10. Erping Li (1 out of 1 patent)
11. Sheng Wang (1 out of 2 patents)
12. Daming Zhang (1 out of 1 patent)
13. Lun Sheng Pan (1 out of 1 patent)
14. Kewu Bai (1 out of 1 patent)
15. Han Yang Foo (1 out of 1 patent)
8 patents:
Company Overview
The Institute of High Performance Computing (IHPC) is a research institute in Singapore that focuses on advancing scientific research and technological innovation through computational modeling and simulation. IHPC collaborates with industry partners and academic institutions to solve complex problems and drive breakthroughs in various fields, including materials science, healthcare, and urban planning.
Profile summary synthesized from public USPTO records and patent filings.
IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Institute of High Performance Computing. Retrieved from https://idiyas.com/company/institute-of-high-performance-computing
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]