Graphic-Processing Units (GPUs) are increasingly used in systems where security is a
critical design requirement. Such systems include cloud computing, safety-critical systems …

In this paper, we investigate the secure memory architecture for GPUs and point out that
conventional CPU secure memory architecture can not be directly adopted to the GPUs. The …

The wide use of accelerators such as GPUs necessities their security support Recent works
[17],[33],[34] pointed out that directly adopting the CPU secure memory design to GPUs …

There is a strong need for GPU trusted execution environments (TEEs) as GPU is
increasingly used in the cloud environment. However, current proposals either ignore …

Modern data centers have grown beyond CPU nodes to provide domain-specific
accelerators such as GPUs and FPGAs to their customers. From a security standpoint, cloud …

The increased use of Convolutional Neural Networks (CNN) in mission-critical systems has
increased the need for robust and resilient networks in the face of both naturally occurring …

The security of accelerators such as GPUs has recently gained significant attention with their
wide adoption in the cloud since they are vulnerable to physical attacks. To support secure …

Cloud computing increasingly handles confidential data, like private inference and query
databases. Two strategies are used for secure computation:(1) employing CPU Trusted …

Change title in optional.tex Page 1 ABSTRACT YUAN, SHOUGANG. Bandwidth-Efficient
Secure Memory Designs for GPUs. (Under the direction of Dr. Huiyang Zhou). Wide adoption of …

High-performance computing (HPC) is increasingly becoming more data-centric, involving
large data sets, rather than its historical focus on modeling and simulation. Sometimes, this …