With the widespread use of smart devices, device authentication has received much
attention. One popular method for device authentication is to utilize internally-measured …

Recently, a large number of convolutional neural network (CNN) inference services have
emerged on high-performance Graphic Processing Units (GPUs). However, GPUs are high …

Data variety is one of the most important features of Big Data. Data variety is the result of
aggregating data from multiple sources and uneven distribution of data. This feature of Big …

Multi-core systems has evolved enormously during the last decade with the improvement in
the integration technology which makes it possible to house large number of transistors on a …

Modern CPUs dynamically scale voltage and frequency for efficiency. However, too low
voltages can result in security-critical errors. Hence, vendors use a generous safety margin …

Power governing is a critical component of modern mobile devices, reducing heat
generation and extending device battery life. A popular technology of power governing is …

This paper presents a power management policy that utilizes reinforcement learning to
increase the power efficiency of mobile device systems based on a multiprocessor system …

This work proposes a methodology to find performance and energy trade-offs for parallel
applications running on Heterogeneous Multi-Processing systems with a single instruction …

With the increase in the number of cores in processor chips observed in recent years, design
choices—such as the number of cores in chip, the amount of resources per core, and …

With the widespread use of smart devices, device authentication has received much
attention. One popular method for device authentication is to utilize internally measured …