Abstract
Graphics processing units (GPUs) are increasingly common on desktops, servers, and embedded platforms. In this article, we report on new security issues related to CUDA, which is the most widespread platform for GPU computing. In particular, details and proofs-of-concept are provided about novel vulnerabilities to which CUDA architectures are subject. We show how such vulnerabilities can be exploited to cause severe information leakage. As a case study, we experimentally show how to exploit one of these vulnerabilities on a GPU implementation of the AES encryption algorithm. Finally, we also suggest software patches and alternative approaches to tackle the presented vulnerabilities.
Original language | English (US) |
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Article number | 15 |
Journal | ACM Transactions on Embedded Computing Systems |
Volume | 15 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2016 |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- GPGPU
- GPU
- Information leakage
- Registers
ASJC Scopus subject areas
- Software
- Hardware and Architecture