We expand the usually cross-sectional perspective on dual-tasking performance to include both intra- and interpersonal variability, which should capture within-person dynamics psychological processes better. Two simple tasks, first as single-, then dual-tasks, were performed by 58 participants over 20 sessions. found positive relationships between (1) single- (2) dual-task component tasks inter...

When epidemic cholera appeared in Haiti in October 2010, the medical community there had virtually no experience with the disease and needed rapid training as the epidemic spread throughout the country. We developed a set of training materials specific to Haiti and launched a cascading training effort. Through a training-of-trainers course in November 14-15, 2010, and department-level training ...

OpenMP tasking supports parallelization of irregular algorithms. Recent OpenMP specifications extended tasking to increase functionality and to support optimizations, for instance with the taskloop construct. However, task scheduling remains opaque, which leads to inconsistent performance on NUMA architectures. We assess design issues for task affinity and explore several approaches to enable i...

This paper describes the design and implementation of GNAT Pro for ERC32, a flexible cross-development environment supporting the Ravenscar tasking model on top of bare ERC32 computers. The static and simple tasking model defined by the Ravenscar profile allows for a streamlined implementation of the run-time system directly on top of bare machines. The reduced size and complexity of the run ti...

Modern computing systems comprise heterogeneous designs which combine multiple and diverse architectures on a single system. These designs provide potentials for high performance under reduced power requirements but require advanced resource management and workload scheduling across the available processors. Programmability frameworks, such as OpenCL and CUDA, enable resource management and wor...

As multicore technology dominates the processor market, new methodologies are being explored to exploit the parallelism inherent to these architectures and shared memory programming models are gaining in popularity. The ratification of the OpenMP 3.0 API has provided compiler developers with another challenge as the multicore revolution reshapes the landscape in scientific computing. The introd...