Hewlett-Packard

About: Hewlett-Packard is a company organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 34663 authors who have published 59808 publications receiving 1467218 citations. The organization is also known as: Hewlett Packard & Hewlett-Packard Company.

Fitness landscapes and evolvability

Abstract: In this paper, we develop techniques based on evolvability statistics of the fitness landscape surrounding sampled solutions. Averaging the measures over a sample of equal fitness solutions allows us to build up fitness evolvability portraits of the fitness landscape, which we show can be used to compare both the ruggedness and neutrality in a set of tunably rugged and tunably neutral landscapes. We further show that the techniques can be used with solution samples collected through both random sampling of the landscapes and online sampling during optimization. Finally, we apply the techniques to two real evolutionary electronics search spaces and highlight differences between the two search spaces, comparing with the time taken to find good solutions through search.

Understanding geocaching practices and motivations

Abstract: Geocaching is a location-based activity that has been practiced for a number of years. As a sustained and established activity it represents an important opportunity for understanding everyday practices and motivations that can build up around a location-based activity. We present findings from a field study of everyday geocaching behaviour. In contrast to previous work, we take a broad perspective on the activity focussing beyond the in situ consumption of these experiences. We look too at the practices and motivations surrounding participants' creation of these experiences. Further we examine these behaviours within the social context of the on-line community that provides a significant basis for many of these behaviours. We use the findings to discuss broader implications for the design of future location-based experiences

Comparison of adaptive body bias (ABB) and adaptive supply voltage (ASV) for improving delay and leakage under the presence of process variation

Abstract: Process variations as a percentage of nominal delay and power consumption are becoming more and more severe with continuing scaling of VLSI technology. The worsening process variation causes increased variability in performance, power, and reliability of VLSI circuits. Thus, performance and power consumption targets obtained during the design phase of VLSI circuits may significantly deviate from that of actual silicon resulting in significant yield losses. Adaptive body bias (ABB) has been shown to be an effective method of postsilicon tuning to reduce variability under the presence of process variation. Post silicon tuning can also be accomplished by using adaptive supply voltage (ASV). This paper compares the effectiveness of ABB and ASV in reducing variability and improving performance and power, and thus, yield.

State Dynamics and Modeling of Tantalum Oxide Memristors

Abstract: A key requirement for using memristors in circuits is a predictive model for device behavior that can be used in simulations and to guide designs We analyze one of the most promising materials, tantalum oxide, for high density, low power, and high-speed memory We perform an ensemble of measurements, including time dynamics across nine decades, to deduce the underlying state equations describing the switching in Pt/TaOx/Ta memristors A predictive, compact model is found in good agreement with the measured data The resulting model, compatible with SPICE, is then used to understand trends in terms of switching times and energy consumption, which in turn are important for choosing device operating points and handling interactions with other circuit elements