For mobile embedded systems, the energy consumption is a limiting factor because of today’s battery capacities. Besides the processor, memory accesses consume a high amount of en...
In embedded systems, memory is one of the most expensive resources. Due to this, program code size has turned out to be one of the most critical design constraints. Code compressi...
Jari Heikkinen, Tommi Rantanen, Andrea G. M. Cilio...
In this work, we consider low power, wearable pulse oximeter sensors for ambulatory, remote vital signs monitoring applications. It is extremely important for such sensors to main...
Pawan K. Baheti, Harinath Garudadri, Somdeb Majumd...
While NoCs are efficient in delivering high throughput point-to-point traffic, their multi-hop operation is too slow for latency sensitive signals. In addition, NoCS are inefficie...
Ran Manevich, Isask'har Walter, Israel Cidon, Avin...
Code compression, initially conceived as an effective technique to reduce code size in embedded systems, today also brings advantages in terms of performance and energy consumpti...
Richard E. Billo, Rodolfo Azevedo, Guido Araujo, P...