Deep learning (DL) has been increasingly adopted by a variety of software-intensive
systems. Developers mainly use GPUs to accelerate the training, testing, and deployment of …

Uncontrolled memory consumption is a kind of critical software security weaknesses. It can
also become a security-critical vulnerability when attackers can take control of the input to …

Deep learning models have been widely adopted in many application domains. Predicting
the runtime performance of deep learning models, such as GPU memory consumption and …

Autonomous embedded systems (AES) are becoming prominent in many application
domains such as self-driving cars. However, the conflict between the rather limited memory …

The landscape of malicious software, more commonly known as malware, grows every year
in number, popularity and financial damage. Just like we see happening in the software …

Software designed to run on memory-limited embedded platforms must not violate peak
memory requirements. This article proposes a memory usage estimation technique in a …

Abstract Autonomous Embedded Systems (AES), where software and embedded hardware
components work in tandem to autonomously sense and/or manipulate the physical world …

An embedded system is a system which performs a specific task and is composed of
software and hardware or mechanical parts. Embedded systems have been utilized to …