Marc A. Viredaz

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T he advent of fast, power-thrifty microprocessors has made possible pocket-size computers with performance approaching that of desktop PCs. This new class of mobile computers enables applications and user-interface modalities not feasible with traditional personal digital assistants and cell phones, while placing new demands on batteries and power(More)
The computing requirements of battery-powered systems are increasing faster than battery capacity. Because large, heavy batteries are unacceptable for handheld computers, low-power design and power management are crucial for these systems. One of the main obstacles limiting these techniques is the lack of a detailed analysis of system power under(More)
Energy management has become one of the great challenges in portable computing. This is the result of the increasing energy requirements of modern portable devices without a corresponding increase in battery technology. μSleep is a new energy reduction technique for handheld devices that is most effective when the handheld’s processor is lightly loaded,(More)
Traditional bit-serial multipliers present one or more clock cycles of data-latency. In some situations, it is desirable to obtain the output after only a combinational delay, as in serial adders and subtracters. A serial multiplier and a squarer with no latency cycles are presented here. Both accept unsigned or sign-extended two's complement numbers and(More)
A systolic array of dedicated processing elements (PEs) is presented as the heart of a multi-model neural-network accelerator. The instruction set of the PEs allows the implementation of several widely-used neural models, including multi-layer Perceptrons with the backpropagation learning rule and Kohonen feature maps. Each PE holds an element of the(More)
The Itsy pocket computer is a flexible research platform developed at Compaq Computer Corporation’s Western Research Laboratory (WRL). The goal of this project is to enable hardware and software research in handheld computing. Several versions of the Itsy system were designed and built. This document evaluates the power consumption of Itsy version 2.3.
A multi-model neural-network computer has been designed and built. A compute intensive application in the eld of power-system monitoring , using the Kohonen neural network , has then been ported onto this machine. After a short description of the system, this paper focusses on the programming paradigm adopted. The performance of the machine is also(More)