Total Power Optimization for Combinational Logic Using Genetic Algorithms

Power consumption is a top priority in high performance circuit design today. Many low power techniques have been proposed to tackle the ever serious, highly pressing power consumption problem, which is composed of both dynamic and static power in the nanometer era. The static power consumption nowadays receives even more attention than that of dynamic power consumption when technology scales below 100 nm. In order to mitigate the aggressive power consumption, various existing low power techniques are often used; however, they are often applied independently or combined with two or at most three different techniques together, and that is not sufficient to address the escalating power issue. In this paper, we present a power optimization framework for the minimization of total power consumption in combinational logic through multiple V _dd assignment, multiple V _th assignment, device sizing, and stack forcing, while maintaining performance requirements. These four power reduction techniques are properly encoded into the genetic algorithm and evaluated simultaneously. The overhead imposed by the insertion of level converters is also taken into account. The effectiveness of each power reduction mechanism is verified, as are the combinations of different approaches. Experimental results are presented for a number of 65 nm benchmark circuits that span typical circuit topologies, including inverter chains, SRAM decoders, multiplier, and a 32 bit carry adder. Our experiments show that the combination of four low power techniques is the effective way to achieve low power budget. The framework is general and can be easily extended to include other design-time low power techniques, such as multiple gate length or multiple gate oxide thickness.     

Social anxiety and the evaluation of negative interpersonal feedback.

Results of a study with 211 college students indicate that Ss high and moderate in anxiety perceived the same feedback as being more negative than did lows. In addition, high-anxiety Ss had a greater expectancy that others would evaluate them negatively. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Dynamic analysis for two-dimensional multiple crack division

Based on the concept of linear-elastic fracture mechanics, two dynamic adjustments are made upon the static form of the crack-extension force ζ for the problem of evenly spaced radial cracks spreading out from a point and terminating on a circular locus. The first adjustment is concerned with the magnitude of the local dynamic stress tending to open the crack. This dynamic stress can be approximated by the circumferential stress near a circular locus of stress relief expanding at a constant speed provided that the arc length between adjacent crack ends is sufficiently small in comparison with the circle radius. The second adjustment is concerned with the influence of crack speed on the crack-opening displacement and on the rate of release of stress field energy, ζ. This can be determined by application of the crack closure method for a traveling crack. These two dynamic adjustments are found to be opposite in direction. The degree of compensation depends on the speed of crack propagation and the Poisson's ratio of the material.     

Design of kilogram mass scale TES for the Cryogenic Dark Matter Search

Recently there has been much interest in the direct detection of the dark matter candidates known as WIMPs. We are developing very sensitive detectors based on phonon detection with transition edge sensors on silicon substrates. These detectors will be deploy ed as part of the Cryogenic Dark Matter Search in collaboration with the Center for Particle Astrophysics. As we extend this technology to practical WIMP searches we will need much higher mass scale detectors. We have demonstrated detectors on 500 µm substrates. To reach the kilogram mass scales we need to pattern wafers that are an order of magnitude thicker with a detector that is at least two orders of magnitude more sensitive. Progress is reported on both these areas and a detector design is discussed.     

Sampling Rate Evaluation Of NO2 Badge: (I) In Indoor Environments

The sampling rate of a nitrogen dioxide (NO²) passive sampling badge was evaluated in indoor environments including an unoccupied research house, residential houses, and an office. Measurements from the NO² badges were compared with those of a chemiluminescent analyzer the EPA reference method, by placing them near to the sample inlet of the chemiluminescent analyzer In this study, we used a new sampling rate for the NO² badge placed in indoor environments (an overall mass transfer coefficient of 0.10 cm/s) smaller than the rate previously reported for the badge when used outdoors. The new rate provides more accurate measurements of NO, concentrations in indoor environments. Indoor NO² concentrations were also measured with the NO² badges exposed to a constant wind velocity provided by a wind tunnel. Since the measurements of the badge with a constant wind velocity agreed well with the reference method, the badges could be assumed to be a secondary reference measurement. With the badges used as the secondary reference measurement, we developed a portable wind tunnel to evaluate a personal exposure measurement by the badge. The results are presented in Environment International (Lee et al., 1993). Precision of the badge measurements was as good as an intraclass correlation coefficient of 0.9779. It was determined that placement of the badge should be at least 10 cm out from an indoor wall surface to avoid undersampling due to NO² gradients near the surface.     

Instruction Scheduling for Low Power

Reducing energy consumption has become an important issue in designing hardware and software systems in recent years. Although low power hardware components are critical for reducing energy consumption, the switching activity, which is the main source of dynamic power dissipation in electronic systems, is largely determined by the software running on these systems.In this paper, we present and evaluate several instruction scheduling algorithms that reorder a given sequence of instructions taking into account the energy considerations. We first compare a performance-oriented scheduling technique with three energy-oriented instruction scheduling algorithms from both performance (execution cycles of the resulting schedules) and energy consumption points of view. Then, we propose three scheduling algorithms that consider energy and performance at the same time. Our experimentation with these scheduling techniques shows that the best scheduling from the performance perspective is not necessarily the best scheduling from the energy perspective. Further, scheduling techniques that consider both energy and performance simultaneously are found to be desirable, that is, these techniques are quite successful in reducing energy consumption and their performance (in terms of execution cycles) is comparable to that of a pure performance-oriented scheduling. We also illuminate the inherent approximations and difficulties in building energy models for enabling energy-aware instruction scheduling and explore alternative options using cycle-accurate energy simulator. The simulation results show that the energy-oriented scheduling reduces energy consumption by up to 30% compared to the performance-oriented scheduling.     

Severity of psychosocial stress and outcome of alcoholism treatment.

Examined the relation between stressful life events and drinking outcome among 129 male alcoholics (aged 22–70 yrs) who had completed an alcohol treatment program. Life events were assessed for the year prior to treatment and for the 3 mo after treatment and were rated on a modified version of the Psychiatric Epidemiology Research Interview and the Contextual Rating System (G. W. Brown and T. O. Harris, 1982). Approximately 40% of the pretreatment stressors were found to be directly or indirectly related to alcohol use. When stressors related to drinking were excluded from consideration, men who returned to drinking after treatment were found to experience more severe or highly threatening stress before their relapse than men who remained abstinent during the follow-up period. These data suggest that although less severe stress may not increase risk for relapse, acute severe stressors and highly threatening chronic difficulties may be associated with elevated relapse risk. (PsycINFO Database Record (c) 2010 APA, all rights reserved)