Analyzing Secure Memory Architecture for GPUs

Wide adoption of cloud computing makes privacy and security a primary concern. Although recent CPUs have integrated secure memory architecture, such support is still missing for GPUs, a key accelerator in data centers. In this paper, we explore two secure memory architectures, counter-mode encryptio...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) S. 59 - 69
Hauptverfasser:	Yuan, Shougang, Baskara Yudha, Ardhi Wiratama, Solihin, Yan, Zhou, Huiyang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2021
Schlagworte:	Encryption GPUs Graphics processing units Memory architecture memory encryption memory integrity Metadata metadata cache Privacy secure memory security Software Throughput
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!