Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
The high transistor density afforded by modern VLSI processes have enabled the design of embedded processors that use clustered execution units to deliver high levels of performan...
Software-controlled scratchpad memory is increasingly employed in embedded systems as it offers better timing predictability compared to caches. Previous scratchpad allocation alg...
Disk subsystem is known to be a major contributor to overall power consumption of high-end parallel systems. Past research proposed several architectural level techniques to reduc...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, A...
Networking applications, such as VPN and content filtering, demand extra computing power in order to meet the throughput requirement nowadays. In addition to pure ASIC solutions, ...