Resilient and Robust High Performance Computing Platforms for Scientific Computing Integrity

Principal Investigator: Yier Jin

Sponsor: DOE

Start Date: January 15, 2020

End Date: January 14, 2021

Amount: $746,287


As technology advances, computer systems are subject to increasingly sophisticated cyber-attacks that compromise both their security and integrity. Recent research has highlighted that high performance computing platforms are vulnerable to these attacks. This situation is made worse by a lack of fundamental security solutions that both perform well and are effective at preventing threats. High performance computing platforms used in commercial and scientific applications involving sensitive, or even classified, data are frequently targeted by powerful adversaries. Current security solutions fail to address the threat landscape or ensure the integrity of sensitive data. As challenges grow in this area, both private and public sectors are expressing the need for robust technologies to protect computing infrastructure. Novel solutions hardening high performance computing platforms without loss of performance or energy efficiency are being developed by Dr. Jin and his research group. Advancing the state-of-the-art in high performance computing research, Dr. Jin is developing fine-grained memory protection that is scalable, adaptive, and lightweight to enhance intrusion detection and is addressing the threat landscape facing high performance computing environments. Dr. Jin’s work offers optimized, secure, and efficient solutions that will keep pace with security and user demands for both current and future platforms. Dr. Jin’s research helps the Department of Energy achieve its mission of providing secure exascale computing platforms to the scientific community.

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