Abstract. In-network processing emerges as an approach to reduce energy consumption in Wireless Sensor Networks (WSN) by decreasing the overall transferred data volume. Parallel pr...
: Data filtering is an important approach to reduce energy consumption. Following this idea, Interest is used as a constraint to filter uninterested data in sensor networks. Within...
Portable embedded systems require diligence in managing their energy consumption. Thus, power efficient processors coupled with onchip memories (e.g. caches, scratchpads) are the...
Manish Verma, Klaus Petzold, Lars Wehmeyer, Heiko ...
We study the problem of minimizing energy consumption in realtime embedded systems that execute variable workloads and are equipped with processors having dynamic voltage scaling ...
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...
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
The emphasis in microprocessor design has shifted from high performance, to a combination of high performance and low power. Until recently, this trend was mostly true for uniproc...
Aggressive hardware prefetching often significantly increases energy consumption in the memory system. Experiments show that a major fraction of prefetching related energy degrad...
In wireless sensor networks, to obtain reliability and minimize energy consumption, a dynamic rate-control and congestion-avoidance transport scheme is very important. We notice t...
High-performance computing is and has always been performance oriented. However, a consequence of the push towards maximum performance is increased energy consumption, especially ...