Cache memory, although important for boosting application performance, is also a source of
execution time variability, and this makes its use difficult in systems requiring worst-case …

To better design AI processors, it is critical to characterize artificial intelligence (AI)
workloads and contrast them to normal personal computer (PC) workloads. In this work, we …

Since caches are commonly used in embedded systems, which typically have stringent
design constraints imposed by physical size, battery capacity, real-time deadlines, etc …

To confer the robustness and high quality of service, modern computing architectures
running real-time applications should provide high system performance and high timing …

Caches are commonly used to bridge the processor-memory performance gap in embedded
systems. Since embedded systems typically have stringent design constraints imposed by …

Although cache improves performance by reducing the speed-gap between the CPU and
main memory, cache increases the timing unpredictability due to its dynamic nature. Cache …

Cache memory is used, in most single-core and multi-core processors, to improve
performance by bridging the speed gap between the main memory and CPU. Even though …

Mixed-criticality systems are widespread in industries such as aerospace, automotive,
medical, telecommunications, defense and security, energy and critical infrastructure. These …

Parallel and distributed solutions are gaining increasing importance in designing embedded
systems. Future parallel embedded systems are expected to have several hundred …

Designing efficient cache, memory, and storage subsystem for modern embedded systems
supporting a variety of applications is a great need. Embedded systems are being deployed …