Alberto García Ortiz

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This work investigates the reduction of power consumption in networks-on-chip through the reduction of transition activity using data coding schemes. Power macromodels for NoC and encoding modules were built, allowing the estimation of the power consumption as a function of the transition activity at each module input. Power macromodels are embedded in a(More)
A module generator is described that allows for the generation of synthesizable VHDL modules which implement arbitrary functions in fixed point precision using the Symmetric Table Addition Method (STAM). This module generator was interfaced to a high level synthesis tool “fly” which automatically generates fully-pipelined circuits from a Perl-like language.(More)
The increasing requirements for bandwidth and quality-of-service motivate the use of parallel interconnect architectures with several degrees of reconfiguration. This paper presents an IP, called Distributed Channel Management (DCM), to extend existing packet-switched NoCs with a reconfigurable point-to-point network seamlessly, i.e., without the need for(More)
Large quantities of water are wasted daily due to leakages in pipelines. In order to decrease this waste and preserve water, advanced systems could be used. In this context, a Wireless Sensor Network (WSN) is increasingly required to optimize the reliability of the inspection and improve the accuracy of the water pipeline monitoring. A WSN solution is(More)
The application of coding strategies is an established methodology to improve the characteristics of on-chip interconnect architectures. Therefore, design methods are required which realize the corresponding encoders and decoders with as small as possible overhead in terms of power and delay. In the past, conventional design methods have been applied for(More)
Wireless sensor networks (WSNs) have gained a lot of attention from researchers both from academia and industry during the past decade. This key technology enables a wide range of potential applications and services including monitoring of physical environments, enhanced industrial control, surveillance, remote health care and logistics. Real-time(More)
On-chip coding provides a remarkable potential to improve the energy efficiency of on-chip interconnects. However, the logic design of the encoder/decoder faces a main challenge: the area and power overhead should be minimal while, at the same time, decodability has to be guaranteed. To address these problems, we propose the concept of approximate coding,(More)
Energy efficiency is a primary concern for wireless sensor networks (WSNs). One of its most energy-intensive processes is the radio communication. This work uses a predictor combined with a Kalman filter (KF) to reduce the communication energy cost for cluster-based WSNs. The technique, called PKF, is suitable for typical WSN applications with adjustable(More)