Evidence map›Paper›PMID 30469380›Full record

ArticleSensors (Basel, Switzerland)2018

Evaluation of Strategies for the Development of Efficient Code for Raspberry Pi Devices.

Javier Corral-García, José-Luis González-Sánchez, Miguel-Ángel Pérez-Toledano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Javier Corral-GarcíaCénitS⁻COMPUTAEX, Extremadura Supercomputing, Technological Innovation and Research Center, 10071 Cáceres, Spain. javier.corral@cenits.es.ORCID 0000-0002-4682-9389
José-Luis González-SánchezCénitS⁻COMPUTAEX, Extremadura Supercomputing, Technological Innovation and Research Center, 10071 Cáceres, Spain. joseluis.gonzalez@cenits.es.
Miguel-Ángel Pérez-ToledanoComputer Science Department, University of Extremadura, 10003 Cáceres, Spain. toledano@unex.es.ORCID 0000-0002-9417-9974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet of Things (IoT) is faced with challenges that require green solutions and energy-efficient paradigms. Architectures (such as ARM) have evolved significantly in recent years, with improvements to processor efficiency, essential for always-on devices, as a focal point. However, as far as software is concerned, few approaches analyse the advantages of writing efficient code when programming IoT devices. Therefore, this proposal aims to improve source code optimization to achieve better execution times. In addition, the importance of various techniques for writing efficient code for Raspberry Pi devices is analysed, with the objective of increasing execution speed. A complete set of tests have been developed exclusively for analysing and measuring the improvements achieved when applying each of these techniques. This will raise awareness of the significant impact the recommended techniques can have.

Indexed as

code optimizationefficient codeperformance optimizationRaspberry Pi

Identifiers

PMID30469380
PMCPMC6263706

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.