GhostLeg: Selective Memory Coalescing for Secure GPU Architecture

GhostLeg: Selective Memory Coalescing for Secure GPU Architecture

Architectural considerations for secure executions are getting more critical for GPU since popular security applications and libraries have been ported to a GPU domain to rely on GPU’s massively parallel computations. Recent studies disclosed the security attack models that exploit GPU&am...

Full description

Bibliographic Details
Main Authors: Jongmin Lee, Seungho Jung, Taeweon Suh, Yunho Oh, Myung Kuk Yoon, Gunjae Koo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
GPU
secure architecture
security attack
memory coalescing
Online Access:https://ieeexplore.ieee.org/document/9926097/

Internet

https://ieeexplore.ieee.org/document/9926097/

Similar Items