In this work we present a highly efficient implementation of OpenMP tasks. It is based on a runtime infrastructure architected for data locality, a crucial prerequisite for exploiting the NUMA nature of modern multicore multiprocessors. In addition, we employ fast work-stealing structures, based on a novel, efficient and fair blocking algorithm. Synthetic benchmarks show up to a 6-fold increase...

Although several studies have shown that dual-tasking ability is impaired in Alzheimer's disease (AD), the stage at which this deficit manifests remains unclear. This study investigated if a new paper-and-pencil assessment of dual-tasking ability could distinguish between AD, mild cognitive impairment (MCI) and normal ageing in a sample of 50 people with AD, 49 people with MCI, and 50 healthy a...

The Ada 2005 standard features support for run-time profiles, flexible taskdispatching policies, execution-time clocks and timers, and a unification of concurrency and object-oriented features. Among these new facilities, one of the most significant is the standardization of the Ravenscar tasking profile. This subset of Ada tasking features embodies a deterministic concurrency model inherently ...

INTRODUCTION Along with amnesia, decline of attention control of executive functions is among the earliest symptoms of dementia. Task performance under conditions of divided attention, or dual-tasking, are sensitive indicators. In particular, there is mounting evidence of poor performance of walking and talking simultaneously in patients with Alzheimer’s disease [1]. While the laboratory eviden...

To test for an association between the LRRK2-G2019S mutation and gait, we studied 52 first-degree relatives of patients with Parkinson’s disease (PD) who carry this mutation. An accelerometer quantified gait during usualwalking, fast-walking, and dual-tasking. Noncarriers (n 1⁄4 27) and carriers (n1⁄4 25) were similar with respect to age, gender, height, and gait speed during all conditions. Du...

Multi-context team decision making under time stress is an extremely challenging issue faced by various real world application domains. In this study we employ an experience-based cognitive agent architecture (R-CAST) to address the informational challenges associated with military command and control (C) decision making teams, the performance of which can be significantly affected by dynamic c...