Shougang Yuan

College of Engineering

Works (4)

Updated: January 30th, 2025 05:00

2024 journal article

Delta Counter: Bandwidth-Efficient Encryption Counter Representation for Secure GPU Memory

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 22(1), 101–113.

By: S. Yuan*, A. Awad* & H. Zhou* 

author keywords: Encryption; Graphics processing units; Security; Metadata; Bandwidth; Protection; System-on-chip; GPU; GPU security; secure memory
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 16, 2025

2022 article

Adaptive Security Support for Heterogeneous Memory on GPUs

2022 IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2022), pp. 213–228.

By: S. Yuan n, A. Awad n, A. Yudha *, Y. Solihin * & H. Zhou n 

author keywords: GPUs; secure memory; heterogeneous memory; encryption; integrity check; security metadata cache
TL;DR: The security guarantees that used to defend against physical attacks are analyzed, and it is made the observation that heterogeneous GPU memory system may not always need all the security mechanisms to achieve the security guarantees. (via Semantic Scholar)
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16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 29, 2022

2022 article

LITE: A Low-Cost Practical Inter-Operable GPU TEE

PROCEEDINGS OF THE 36TH ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ICS 2022.

By: A. Yudha *, J. Meyer*, S. Yuan n, H. Zhou n  & Y. Solihin*

author keywords: GPU TEE; software encryption; memory encryption; GPU enclave
TL;DR: This paper proposes a flexible GPU memory encryption design called LITE that relies on software memory encryption aided by small architecture support and shows that GPU applications can be adapted to the use of LITE encryption APIs without major changes. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 13, 2023

2021 article

Analyzing Secure Memory Architecture for GPUs

2021 IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE (ISPASS 2021), pp. 59–69.

By: S. Yuan n, A. Yudha *, Y. Solihin * & H. Zhou n 

author keywords: GPUs; security; secure memory; memory encryption; memory integrity; metadata cache
TL;DR: It is shown that the massive-threaded nature of GPUs make them latency-tolerant and the performance impact due to the extra encryption/decryption latency is limited, and direct encryption can be a promising alternative for GPU secure memory. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 16, 2021

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