1,720,957 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
BAT: A Benchmark suite for AutoTuners - Development of BAT and Tuning on 20x Tesla T4 GPUs and More
No full textAutotuning løser ytelsesportabilitetsutfordringen når man lager applikasjoner som skal kjøres på forskjellige arkitekturer. En autotuner er et program som tar en parameterisert kode som input og prøver å finne de best mulige verdiene for et sett med parametrene.
For øyeblikket, så vidt vi vet, er det ingen standardiserte "benchmark suites" for autotunere for sammenligning og testing. Utviklere av autotunere lager egne "benchmark suites" når de presenterer og sammenligner autotunere.
Som en mulig løsning på utfordringen med "benchmarking" av autotunere, presenterer vi "BAT: a Benchmark suite for AutoTuners".
Denne oppgaven beskriver utviklingen av BAT og hvordan man bruker BAT til å evaluere kjente autotunere på forskjellige arkitekturer. Som en del av dette, ble CUDA-programmer og "kernels" fra "The Scalable Heterogeneous Computing (SHOC) Benchmark" parametrisert.
BAT er en "benchmark suite" med HPC-baserte, parametrerte algoritmer i CUDA med GPU-fokus. Den inneholder et variert utvalg av "benchmarks" med forskjellig kompleksitet som kan bruke flere GPUer på ett system, enten ved å kjøre det samme programmet og beregninger på alle noder, eller ved å dele arbeidet mellom noder.
"Benchmark suiten" er testet med fire forskjellige autotunere som er forskjellige i oppsett og hvordan de "tuner". Disse er OpenTuner, Kernel Tuner, CLTune og KTT. Alle "benchmarkene" er modifisert slik at de passer til mange forskjellige autotunere. En praktisk funksjon fra BAT for testing er kommandolinjegrensesnittet som gjør det lettere å kjøre autotuning med "benchmarkene".
BAT er et felles utviklingsprosjekt med Knut Kirkhorn. Forskjellen er at vi parametrerte våre egne separate algoritmer og testet algoritmene våre på forskjellige multi-GPU-systemer. Denne oppgaven fokuserer på testing på en IBM Power System AC922 med fire Tesla V100-SXM2 32 GB GPUer og en server med 20 Tesla T4 GPUer
BAT: A Benchmark suite for AutoTuners - Development of BAT and Tuning on 20x Tesla T4 GPUs and More
Get PDFAutotuning løser ytelsesportabilitetsutfordringen når man lager applikasjoner som skal kjøres på forskjellige arkitekturer. En autotuner er et program som tar en parameterisert kode som input og prøver å finne de best mulige verdiene for et sett med parametrene.
For øyeblikket, så vidt vi vet, er det ingen standardiserte "benchmark suites" for autotunere for sammenligning og testing. Utviklere av autotunere lager egne "benchmark suites" når de presenterer og sammenligner autotunere.
Som en mulig løsning på utfordringen med "benchmarking" av autotunere, presenterer vi "BAT: a Benchmark suite for AutoTuners".
Denne oppgaven beskriver utviklingen av BAT og hvordan man bruker BAT til å evaluere kjente autotunere på forskjellige arkitekturer. Som en del av dette, ble CUDA-programmer og "kernels" fra "The Scalable Heterogeneous Computing (SHOC) Benchmark" parametrisert.
BAT er en "benchmark suite" med HPC-baserte, parametrerte algoritmer i CUDA med GPU-fokus. Den inneholder et variert utvalg av "benchmarks" med forskjellig kompleksitet som kan bruke flere GPUer på ett system, enten ved å kjøre det samme programmet og beregninger på alle noder, eller ved å dele arbeidet mellom noder.
"Benchmark suiten" er testet med fire forskjellige autotunere som er forskjellige i oppsett og hvordan de "tuner". Disse er OpenTuner, Kernel Tuner, CLTune og KTT. Alle "benchmarkene" er modifisert slik at de passer til mange forskjellige autotunere. En praktisk funksjon fra BAT for testing er kommandolinjegrensesnittet som gjør det lettere å kjøre autotuning med "benchmarkene".
BAT er et felles utviklingsprosjekt med Knut Kirkhorn. Forskjellen er at vi parametrerte våre egne separate algoritmer og testet algoritmene våre på forskjellige multi-GPU-systemer. Denne oppgaven fokuserer på testing på en IBM Power System AC922 med fire Tesla V100-SXM2 32 GB GPUer og en server med 20 Tesla T4 GPUer.Autotuning solves the performance portability challenge when creating applications that will be run on different architectures. An autotuner is a program that takes a parameterized code as input and tries to find the best possible values for the tuning parameters defined.
Currently, to our knowledge, there are no standardized benchmark suites for autotuners for comparing and testing. Developers of autotuners makes their own benchmarks when presenting and comparing autotuners.
As a possible solution to the challenge of benchmarking autotuners, we present "BAT: a Benchmark suite for AutoTuners".
This thesis describes the development of BAT and how to use BAT to evaluate known autotuners on different architectures. As part if this work, CUDA programs and kernels from "The Scalable Heterogeneous Computing (SHOC) Benchmark" were parameterized.
BAT is a benchmark suite with HPC based, parameterized algorithms in CUDA with GPU focus. It contains a varied selection of benchmarks of different complexity that can utilize multiple GPUs on one system, either by running the same program and computations on multiple nodes, or by splitting the work between nodes.
The benchmark suite is tested with four different autotuners that differs in setup and how they tune. These are OpenTuner, Kernel Tuner, CLTune and KTT. All the benchmarks are modified to suite a lot of different autotuners. A handy feature from BAT for testing is its CLI that makes it easier to run autotuning with the benchmarks.
BAT is a joint development with Knut Kirkhorn. The difference is that we parameterized our own separate algorithms and tested our algorithms on different multi-GPU systems. This thesis focuses on testing on an IBM Power System AC922 with four Tesla V100-SXM2 32 GB GPUs and a Server with 20 Tesla T4 GPUs
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
