Adaptive power optimization of on-chip SNUCA cache on tiled chip multicore architecture using remap policy

Advances in technology have increased the number of cores and size of caches present on chip multicore platforms(CMPs). As a result, leakage power consumption of on-chip caches has already become a major power consuming component of the memory subsystem. We propose to reduce leakage power consumption in static nonuniform cache architecture(SNUCA) on a tiled CMP by dynamically varying the number of cache slices used and switching off unused cache slices. A cache slice in a tile includes all cache banks present in that tile. Switched-off cache slices are remapped considering the communication costs to reduce cache usage with minimal impact on execution time. This saves leakage power consumption in switched-off L2 cache slices. On an average, there map policy achieves 41% and 49% higher EDP savings compared to static and dynamic NUCA (DNUCA) cache policies on a scalable tiled CMP, respectively.

Factors that impact the sustainability of wait time management strategies for total joint replacement surgeries in canadian provinces

Pour répondre aux exigences du gouvernement fédéral quant aux temps d’attente pour les chirurgies de remplacement du genou et de la hanche, les établissements canadiens ont adopté des stratégies de gestion des listes d’attentes avec des niveaux de succès variables. Notre question de recherche visait à comprendre Quels facteurs ont permis de maintenir dans le temps un temps d’attente répondant aux exigences du gouvernement fédéral pendant au moins 6-12 mois? Nous avons développé un modèle possédant quatre facteurs, inspiré du modèle de Parsons (1977), afin d’analyser les facteurs comprenant la gouvernance, la culture, les ressources, et les outils. Trois études de cas ont été menées. En somme, le 1er cas a été capable d’obtenir les exigences pendant six mois mais incapable de les maintenir, le 2e cas a été capable de maintenir les exigences > 18 mois et le 3e cas a été incapable d’atteindre les objectifs. Des documents furent recueillis et des entrevues furent réalisées auprès des personnes impliquées dans la stratégie. Les résultats indiquent que l’hôpital qui a été en mesure de maintenir le temps d’attente possède certaines caractéristiques: réalisation exclusive de chirurgie de remplacement de la hanche et du genou, présence d’un personnel motivé, non distrait par d’autres préoccupations et un esprit d’équipe fort. Les deux autres cas ont eu à faire face à une culture médicale moins homogène et moins axés sur l’atteinte des cibles; des ressources dispersées et une politique intra-établissement imprécise. Le modèle d’hôpital factory est intéressant dans le cadre d’une chirurgie surspécialisée. Toutefois, les patients sont sélectionnés pour des chirurgies simples et dont le risque de complication est faible. Il ne peut donc pas être retenu comme le modèle durable par excellence.

Comparison of risk factors among blood donors, volunteers and replacement individuals, infected or not by hepatitis C virus

Hepatitis C is transmitted primarily parenterally by contaminated blood and is often associated with: intravenous drug abuse, invasive procedures, blood transfusions, acupuncture, tattooing, and alcohol and tobacco use. This study aimed to quantify and evaluate the risk factors among blood donors, volunteer blood donors and replacement individuals, infected or not by the C virus. The main transmission routes of C virus were identified in 55 men and 25 women (GI) monitored by the Ambulatory Unit of the Department of Tropical Diseases, Botucatu Medical School, and in 24 men and 26 women (GII), all active blood donors at the Bauru State Hospital Transfusional Agency. Both groups were similar in: tobacco and alcohol consumption, sexual behavior, tattooing and illicit drug use. The duration of alcohol and tobacco consumption and blood transfusions in GI were longer, whereas the option for steady partners, condom use, disposable materials and piercings were predominant in GII. In conclusion, the risk factors for hepatitis C demonstrate the necessity of health policies that act on the primary and secondary prevention levels (respectively, reduction of infection incidence and hepatopathy risk).

A multi-resource load balancing algorithm for cloud cache systems

With the advent of cloud computing model, distributed caches have become the cornerstone for building scalable applications. Popular systems like Facebook [1] or Twitter use Memcached [5], a highly scalable distributed object cache, to speed up applications by avoiding database accesses. Distributed object caches assign objects to cache instances based on a hashing function, and objects are not moved from a cache instance to another unless more instances are added to the cache and objects are redistributed. This may lead to situations where some cache instances are overloaded when some of the objects they store are frequently accessed, while other cache instances are less frequently used. In this paper we propose a multi-resource load balancing algorithm for distributed cache systems. The algorithm aims at balancing both CPU and Memory resources among cache instances by redistributing stored data. Considering the possible conflict of balancing multiple resources at the same time, we give CPU and Memory resources weighted priorities based on the runtime load distributions. A scarcer resource is given a higher weight than a less scarce resource when load balancing. The system imbalance degree is evaluated based on monitoring information, and the utility load of a node, a unit for resource consumption. Besides, since continuous rebalance of the system may affect the QoS of applications utilizing the cache system, our data selection policy ensures that each data migration minimizes the system imbalance degree and hence, the total reconfiguration cost can be minimized. An extensive simulation is conducted to compare our policy with other policies. Our policy shows a significant improvement in time efficiency and decrease in reconfiguration cost.