85,253 research outputs found
Stocator: A High Performance Object Store Connector for Spark
We present Stocator, a high performance object store connector for Apache
Spark, that takes advantage of object store semantics. Previous connectors have
assumed file system semantics, in particular, achieving fault tolerance and
allowing speculative execution by creating temporary files to avoid
interference between worker threads executing the same task and then renaming
these files. Rename is not a native object store operation; not only is it not
atomic, but it is implemented using a costly copy operation and a delete.
Instead our connector leverages the inherent atomicity of object creation, and
by avoiding the rename paradigm it greatly decreases the number of operations
on the object store as well as enabling a much simpler approach to dealing with
the eventually consistent semantics typical of object stores. We have
implemented Stocator and shared it in open source. Performance testing shows
that it is as much as 18 times faster for write intensive workloads and
performs as much as 30 times fewer operations on the object store than the
legacy Hadoop connectors, reducing costs both for the client and the object
storage service provider
Context Dependence, MOPs,WHIMs and procedures Recanati and Kaplan on Cognitive Aspects in Semantics
After presenting Kripke’s criticism to Frege’s ideas on context dependence of thoughts, I present two recent attempts of considering cognitive aspects of context dependent expressions inside a truth conditional pragmatics or semantics: Recanati’s non-descriptive modes of presentation (MOPs) and Kaplan’s ways of having in mind (WHIMs). After analysing the two attempts and verifying which answers they should give to the problem discussed by Kripke, I suggest a possible interpretation of these attempts: to insert a procedural or algorithmic level in semantic representations of indexicals. That a function may be computed by different procedures might suggest new possibilities of integrating contextual cognitive aspects in model theoretic semanti
MsatAllele_1.0: An R package to visualize the binning of microsatellite Alleles
MsatAllele is a computer package built on R to visualize and bin the raw microsatellite allele size distributions. The method is based on the creation of an R database with exported files from the open-source electropherogram peak-reading program STRAND. Contrary to other binning programs, in this program, the bin limits are not fixed and are automatically defined by the data stored in the database. Data manipulation and graphical functions allow to 1) visualize raw allele size variation, allowing the detection of potential scoring errors, strange bin distributions, and unexpected spacing between the bins; 2) bin raw fragment sizes and write bin summary statistics for each locus; and 3) export genotype files with the resulting binned data.Fundacao para a Ciencia e Tecnologia [SFRH/BPD/14945/2004]; MEGIKELP [PTDC/MAR/65461/2006]info:eu-repo/semantics/publishedVersio
A study in the cognition of individuals’ identity: Solving the problem of singular cognition in object and agent tracking
This article compares the ability to track individuals lacking mental states with the ability to track intentional agents. It explains why reference to individuals raises the problem of explaining how cognitive agents track unique individuals and in what sense reference is based on procedures of perceptual-motor and epistemic tracking. We suggest applying the notion of singular-files from theories in perception and semantics to the problem of tracking intentional agents. In order to elucidate the nature of agent-files, three views of the relation between object- and agent-tracking are distinguished: the Independence, Deflationary and Organism-Dependence Views. The correct view is argued to be the latter, which states that perceptual and epistemic tracking of a unique human organism requires tracking both its spatio-temporal object-properties and its agent-properties
A cognitive view of relevant implication
Relevant logics provide an alternative to classical implication
that is capable of accounting for the relationship between the antecedent
and the consequence of a valid implication. Relevant implication is usually
explained in terms of information required to assess a proposition.
By doing so, relevant implication introduces a number of cognitively relevant
aspects in the denition of logical operators. In this paper, we
aim to take a closer look at the cognitive feature of relevant implication.
For this purpose, we develop a cognitively-oriented interpretation of the
semantics of relevant logics. In particular, we provide an interpretation
of Routley-Meyer semantics in terms of conceptual spaces and we show
that it meets the constraints of the algebraic semantics of relevant logic
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