نتایج جستجو برای: tasking optimization
تعداد نتایج: 319533 فیلتر نتایج به سال:
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...
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...
Abstract Background and aim: Rapture of the anterior cruciate ligament (ACL) results into the changes in the movement patterns characterized by shorter stride length, greater step width and altered lower extremities biomechanics. As a result, gait pattern in ACL-injured patients may result in an attention demanding form of locomotion. Therefore, the aim of this study was to investigate the e...
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...
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