78 research outputs found
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Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization
In an in transit setting, a parallel data producer, such as a numerical simulation, runs on one set of ranks M, while a data consumer, such as a parallel visualization application, runs on a different set of ranks N. One of the central challenges in this in transit setting is to determine the mapping of data from the set of M producer ranks to the set of N consumer ranks. This is a challenging problem for several reasons, such as the producer and consumer codes potentially having different scaling characteristics and different data models. The resulting mapping from M to N ranks can have a significant impact on aggregate application performance. In this work, we present an approach for performing this M-to-N mapping in a way that has broad applicability across a diversity of data producer and consumer applications. We evaluate its design and performance with
a study that runs at high concurrency on a modern HPC platform. By leveraging design characteristics, which facilitate an “intelligent” mapping from M-to-N, we observe significant performance gains are possible in terms of several different metrics, including time-to-solution and amount of data moved
The Effects of Menstrual Cycle Phases on Running Repeated Sprint Ability
Female participation in regular sport activities has increased in recent years, yet their representation in sports and exercise science literature remains low. This can be partly attributed to the complexities associated with the menstrual cycle (MC). Despite these challenges, sport and exercise science studies should not ignore the effects of the MC and its hormonal fluctuations on performance and physiological measures. The aim of this study was to compare performance, physiological and perceptual differences when performing a running repeated sprint ability (RSA) exercise during the early-follicular, and mid-luteal sub-phases of the MC. Five healthy, physically active participants (25.4 ± 3.0 years; 1.65 ± 0.1 m; 64.5 ± 18.6 kg; 43.2 ± 5.2 ml O2·kg-1) took part in this study. The participants completed two familiarization and four intervention sessions (twice during each MC sub-phase) of the RSA exercise. The RSA protocol consisted of five ‘all-out’ sprints of six seconds on a non-motorized treadmill with 24 seconds of walking between the sprints. Results indicated no significant differences (p > 0.05) between MC sub-phases in body mass index, fat mass, mean and peak power output, fatigue index for peak power output, distance, peak acceleration, pre-exercise lactate, oxygen uptake, and heart rate. However, significant differences were found in post-exercise lactate (p = 0.04) and rating of perceived exertion (p = 0.001). In conclusion, MC phases do not appear to influence most of the chosen RSA performance indicators thus suggesting that practitioners should not tailor repeated sprint exercises and tests based on the MC phases
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