Oldest Papers
Towards a Benefits Theory of Leisure Well-Being
M. Joseph Sirgy, Muzaffer Uysal, Stefan Kruger
Applied Research in Quality of Life·2016·110 citations
No abstract available
★ 4.0 (1)
View paper →Understanding Latency Hiding on GPUs
Vasily Volkov
University of California, Berkeley·2016
Modern commodity processors such as GPUs may execute up to about a thousand of physicalthreads per chip to better utilize their numerous execution units and hide execution latencies.Understanding this novel capability, however, is hindered by the overall complexity of thehardware and complexity of typical workloads. In this dissertation, we suggest a better way tounderstand modern multithreaded performance by considering a family of synthetic workloads,which use the same key hardware capabilities – memory access, arithmetic operations, andmultithreading – but are otherwise as simple as possible.One of our surprising findings is that prior performance models for GPUs fail on theseworkloads: they mispredict observed throughputs by factors of up to 1.7. We analyze these priorapproaches, identify a number of common pitfalls, and discuss the related subtleties inunderstanding concurrency and Little’s Law. Also, we help to further our understanding byconsidering a few basic questions, such as on how different latencies compare with each other interms of latency hiding, and how the number of threads needed to hide latency depends on basicparameters of executed code such as arithmetic intensity. Finally, we outline a performancemodeling framework that is free from the found limitations.As a tangential development, we present a number of novel experimental studies, such as on howmean memory latency depends on memory throughput, how latencies of individual memoryaccesses are distributed around the mean, and how occupancy varies during execution.
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View paper →ON THE INFORMATION AND MEDIALITERACY TEACHING IN THE SCHOOLS OF RUSSIA
Unknown Author
Systems and Means of Informatics·2016
No abstract available
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View paper →Roots Withstanding their Environment: Exploiting Root System Architecture Responses to Abiotic Stress to Improve Crop Tolerance
Iko T. Koevoets, Jan Henk Venema, J. Theo. M. Elzenga, Christa Testerink
Frontiers in Plant Science·2016·450 citations
No abstract available
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View paper →Translations across Black Feminist Diasporas
Sonia E. Alvarez, Kia Lilly Caldwell, Agustín Lao-Montes
Meridians·2016·7 citations
No abstract available
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View paper →Practice Theory and Relationalism as the New Constructivism
David M. McCourt
International Studies Quarterly·2016·155 citations
No abstract available
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View paper →The natural selection of bad science
Paul E. Smaldino, Richard McElreath
Royal Society Open Science·2016·575 citations
<jats:p>Poor research design and data analysis encourage false-positive findings. Such poor methods persist despite perennial calls for improvement, suggesting that they result from something more than just misunderstanding. The persistence of poor methods results partly from incentives that favour them, leading to the natural selection of bad science. This dynamic requires no conscious strategizing—no deliberate cheating nor loafing—by scientists, only that publication is a principal factor for career advancement. Some normative methods of analysis have almost certainly been selected to further publication instead of discovery. In order to improve the culture of science, a shift must be made away from correcting misunderstandings and towards rewarding understanding. We support this argument with empirical evidence and computational modelling. We first present a 60-year meta-analysis of statistical power in the behavioural sciences and show that power has not improved despite repeated demonstrations of the necessity of increasing power. To demonstrate the logical consequences of structural incentives, we then present a dynamic model of scientific communities in which competing laboratories investigate novel or previously published hypotheses using culturally transmitted research methods. As in the real world, successful labs produce more ‘progeny,’ such that their methods are more often copied and their students are more likely to start labs of their own. Selection for high output leads to poorer methods and increasingly high false discovery rates. We additionally show that replication slows but does not stop the process of methodological deterioration. Improving the quality of research requires change at the institutional level.</jats:p>
★ 5.0 (1)
View paper →The Influence of Language Experience on the Categorical Perception of Vowels: Evidence from Mandarin and Korean
Hao Zhang, Fei Chen, Nan Yan, Lan Wang, Feng Shi, Manwa L. Ng
Interspeech 2016·2016·5 citations
No abstract available
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View paper →Why is the scientific replication crisis centered on psychology?
Andrew Gelman
2016
No abstract available
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View paper →Fish recorded singing dawn chorus on reefs just like birds
Greta Keenan
New Scientist·2016
The ocean might seem like a quiet place, but listen carefully and you might just hear the sounds of the fish choir. Most of this underwater music comes from soloist fish , repeating the same calls over and over. But when the calls of different fish overlap, they form a chorus.
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View paper →Books | Ivan Coyote
Unknown Author
Ivan Coyote | Writer, storyteller & performer·2016
Ivan Coyote is the award-winning author of thirteen books. Care Of, Rebent Sinner, Tomboy Survival Guide, Gender Failure, and more.
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View paper →Topological Data Analysis
Larry Wasserman
arXiv·2016
Topological Data Analysis (TDA) can broadly be described as a collection of data analysis methods that find structure in data. This includes: clustering, manifold estimation, nonlinear dimension reduction, mode estimation, ridge estimation and persistent homology. This paper reviews some of these methods.
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