11 |
Speeding up matrix computation kernels by sharing vector coprocessor among multiple cores on chipDahlberg, Christopher January 2012 (has links)
Today’s computer systems develop towards less energy consumption while keeping high performance. These are contradictory requirement and pose a great challenge. A good example of an application were this is used is the smartphone. The constraints are on long battery time while getting high performance required by future 2D/3D applications. A solution to this is heterogeneous systems that have components that are specialized in different tasks and can execute them fast with low energy consumption. These could be specialized i.e. encoding/decoding, encryption/decryption, image processing or communication. At the apartment of Computer Architecture and Parallel Processing Laboratory (CAPPL) at New Jersey Institute of Technology (NJIT) a vector co-processor has been developed. The Vector co-processor has the unusual feature of being able to receive instructions from multiple hosts (scalar cores). In addition to this a test system with a couple of scalar processors using the vector processor has been developed. This thesis describes this processor and its test system. It also shows the development of math applications involving matrix operations. This results in the conclusions of the vector co-processing saving substantial amount of energy while speeding up the execution of the applications. In addition to this the thesis will describe an extension of the vector co-processor design that makes it possible to monitor the throughput of instructions and data in the processor.
|
12 |
How Other Drivers’ Vehicle Characteristics Influence Your Driving SpeedBrockett, Russell 01 January 2011 (has links)
An analysis of the effect of passing vehicles’ characteristics and their impact on other drivers’ velocities was investigated. Three experimental studies were proposed and likely outcomes were discussed. Experiment 1 focused on the effect of passing vehicle type (SUV, sedan or truck) on driver speed. Drivers were hypothesized as going faster when the same vehicle type as they were driving passed them versus when no vehicle or a different vehicle passed them. Experiment 2 focused on the effect of passing SUV age on driver’s speed. Evidence suggests passing older SUVs will increase the driver’s speed more than new SUVs. Experiment 3 focused on the effect of passing SUV color on speed. Drivers were hypothesized to go faster when brighter colors (red and yellow) rather than cooler colors (grey and black) were painted on the vehicle.
|
13 |
Réponse au stress et comportements routiers à risque sous l’effet de l’alcool chez de jeunes conducteurs / Stress response and risky driving behaviours under the influence of alcohol in young driversEl Amrani, Laila January 2014 (has links)
Résumé : Introduction. Les collisions routières représentent un grave problème à travers le monde. Elles causent des dizaines de millions de blessés chaque année et figurent comme l’une des principales causes de décès chez les jeunes adultes. La conduite avec les capacités affaiblies, la vitesse et d’autres comportements routiers à risque (CRR) sont souvent associés à ces accidents. Notre équipe de recherche s’est intéressée à l’étude de marqueurs de risque de l’implication dans les CRR. Les résultats indiquent qu’une faible réponse au stress, mesurable par l’hormone cortisol, est liée à un nombre plus élevé de condamnations passées pour conduite avec les capacités affaiblies chez les contrevenants et à l’implication future dans les accidents et quasi-accidents chez les jeunes conducteurs. Aucune étude n’avait encore étudié le lien direct entre la réponse au stress et la présence de CRR suite à la consommation d’alcool. But et hypothèse. L’étude a pour but principal de mesurer l’association entre la réponse au stress des jeunes conducteurs et la présence de CRR suite à la consommation d’alcool. L’hypothèse principale soutient qu’une faible réponse au stress est liée à la présence de CRR suite à la consommation d’alcool. L’objectif secondaire de cette étude est d’explorer si d’autres variables (c.-à-d., la recherche de sensations, la consommation de cigarettes et la consommation problématique d’alcool), peuvent expliquer la variance de réponse au stress chez les jeunes conducteurs. L’hypothèse secondaire propose que la recherche de sensations, la sévérité de la consommation d’alcool et de cigarettes sont des variables qui expliquent la variance de réponse au stress. Méthode. Quarante conducteurs masculins âgés de 20 à 24 ans ont pris part à l’étude. Les comportements routiers suite à la consommation d’alcool (c.-à-d., vitesse et non-respect de la signalisation lors du premier trajet, décision de conduire un deuxième trajet sous l’effet de l’alcool) ont été observés à l’aide d’un simulateur de conduite. La réponse au stress a été mesurée à l’aide d’une tâche d’induction du stress standardisée et des échantillons de cortisol salivaire ont été recueillis avant et après la tâche. Les variables de l’objectif secondaire ont été mesurées à l’aide de questionnaires. Résultats. Les résultats démontrent qu’une faible réponse au stress est négativement et significativement associée à la présence de CRR lors de la conduite du simulateur sous l’influence de l’alcool (r (38) = -0,30, p = 0,032). La recherche de sensations explique significativement la variance de la réponse au stress (β = -0,33; p = 0,041); la sévérité de la consommation d’alcool et la consommation de cigarettes n’expliquent pas significativement la variance de réponse au stress entre individus. Implications. Les résultats de cette étude ont permis de mettre en lumière le lien existant entre la réponse au stress et l'implication des jeunes conducteurs dans les CRR suite à la consommation d’alcool. L’efficacité d’outils de prévention et d’intervention adaptés aux caractéristiques des individus qui réagissent moins au stress devrait être étudiée dans d’autres études. // Abstract : Introduction. Motor vehicle crashes are a serious problem worldwide. They cause tens of millions of injuries each year and represent one of the leading causes of death in young adults. Impaired driving, speeding and other risky driving behaviours (RDBs) are often associated with these crashes. Examination of risk markers associated with involvement in RDBs by our research team has shown that a low response to a stressful task, measurable by cortisol, is linked to a higher number of past convictions for impaired driving in offenders and to future involvement in crashes and near-crashes in young drivers. No study had yet examined the direct link between stress response and the presence of RDBs following alcohol consumption. Goals and Hypotheses. The primary goal of the study is to measure the association between young drivers’ stress response and the presence of RDBs following alcohol consumption. The main hypothesis is that a low stress response is linked to RDBs following alcohol consumption. The study’s secondary objective is to explore whether other variables (i.e., sensation seeking, cigarette use, and problem drinking) may explain the variance in stress response exhibited by young drivers. Hence, the secondary hypothesis proposes that sensation seeking and the severity of alcohol and cigarette use are variables that explain the variance in stress response. Method. Forty male drivers aged 20 to 24 years old participated in the study. Driving behaviours following alcohol consumption (i.e., speeding and failure to obey traffic signs during the first trip, deciding to drive a second trip under the influence of alcohol) were observed by means of a driving simulator. Stress response was measured using a standardized stress-inducing task, and saliva cortisol samples were collected before and after the task. Questionnaires gathered data used to test the secondary hypothesis. Findings. The findings show that a low stress response is negatively and significantly associated with the RDBs when driving the simulator under the influence of alcohol (r (38) = -0.30, p = 0.032). Sensation seeking significantly explains the variance in stress response (β = -0.33; p = 0.041); the severity of alcohol consumption and cigarette use do not significantly explain the variance in stress response across individuals. Implications. The study findings clarify the link between stress response and the involvement of young drivers in RDBs following alcohol consumption. The efficacy of prevention and intervention tools adapted to the characteristics of individuals who react less to stress should be explored in future studies.
|
Page generated in 0.059 seconds