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SPRINT: A new parallel framework for R
2008
BMC Bioinformatics
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The Simple Parallel R INTerface (SPRINT) is a wrapper around such parallelised functions. ...
Many biostatisticians use R to process the data gleaned from microarray analysis and there is even a dedicated group of packages, Bioconductor, for this purpose. ...
includes SPRINT R library stub, which interfaces with SPRINT • R script calls a parallel function contained in SPRINT ❍ The stub in R tells SPRINT which function to execute The SPRINT framework Figure ...
doi:10.1186/1471-2105-9-558
pmid:19114001
pmcid:PMC2628907
fatcat:ms5qu3st7ne2rpldugxhw5esti
The Computational Sprinting Game
2016
SIGARCH Computer Architecture News
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We describe a sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips' thermal limits and the rack's power limits. ...
The game produces an equilibrium that improves task throughput for data analytics workloads by 4-6× over prior greedy heuristics and performs within 90% of an upper bound on throughput from a globally ...
This work is also supported by STARnet, a Semiconductor Research Corporation program, sponsored by MARCO and DARPA. ...
doi:10.1145/2980024.2872383
fatcat:e3bsiucxnna4nawnzbkfckyvs4
The Computational Sprinting Game
2016
SIGPLAN notices
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We describe a sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips' thermal limits and the rack's power limits. ...
The game produces an equilibrium that improves task throughput for data analytics workloads by 4-6× over prior greedy heuristics and performs within 90% of an upper bound on throughput from a globally ...
This work is also supported by STARnet, a Semiconductor Research Corporation program, sponsored by MARCO and DARPA. ...
doi:10.1145/2954679.2872383
fatcat:erw6tzsfuja2pm3zh7igfzpqfm
The Computational Sprinting Game
2016
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS '16
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We describe a sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips' thermal limits and the rack's power limits. ...
The game produces an equilibrium that improves task throughput for data analytics workloads by 4-6× over prior greedy heuristics and performs within 90% of an upper bound on throughput from a globally ...
This work is also supported by STARnet, a Semiconductor Research Corporation program, sponsored by MARCO and DARPA. ...
doi:10.1145/2872362.2872383
dblp:conf/asplos/FanZL16
fatcat:dopzblt275btvjl7o3hvtfxvvi
The Computational Sprinting Game
2016
ACM SIGOPS Operating Systems Review
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We describe a sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips' thermal limits and the rack's power limits. ...
The game produces an equilibrium that improves task throughput for data analytics workloads by 4-6× over prior greedy heuristics and performs within 90% of an upper bound on throughput from a globally ...
This work is also supported by STARnet, a Semiconductor Research Corporation program, sponsored by MARCO and DARPA. ...
doi:10.1145/2954680.2872383
fatcat:vuycyxc5orhuldnwf5xifwdrl4
Exploiting Parallel R in the Cloud with SPRINT
2012
Methods of Information in Medicine
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Objectives-Bioconductor, a popular tool for high-throughput genomic data analysis, is distributed as add-on modules for the R statistical programming language but R has no native capabilities for exploiting ...
SPRINT is an R package that enables easy access to HPC for genomics researchers. ...
Acknowledgments This work was funded under the Wellcome Trust, Grant WT086696MA, a HECToR Distributed Computational Science and Engineering (dCSE) support award administered by NAG Ltd, ESRC 'Follow-On ...
doi:10.3414/me11-02-0039
pmid:23223611
pmcid:PMC3547073
fatcat:hb4fbgcfvne23gydfhyyn6zqvq
Differential Approximation and Sprinting for Multi-Priority Big Data Engines
[article]
2019
arXiv
pre-print
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We advocate a new resource management design that exploits the idea of differential approximation and sprinting. ...
DiAS not only eliminates resource waste but also (surprisingly) lowers energy consumption up to 30% at only a marginal accuracy loss for low-priority jobs. ...
across analysis frameworks. ...
arXiv:1909.05531v2
fatcat:ayn2xzf3rfaappni4o2ct35hby
Parallel classification and feature selection in microarray data using SPRINT
2012
Concurrency and Computation
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The Simple Parallel R Interface is a library for R that aims to reduce the complexity of using HPC systems by providing biostatisticians with drop-in parallelised replacements of existing R functions. ...
PARALLEL CLASSIFICATION AND FEATURE SELECTION USING SPRINT R r i 1 P .x/dx, where r i is the observed rank product of gene i and P .x/ is the bootstrapped null distribution. ...
ACKNOWLEDGEMENTS The SPRINT project is funded by a Wellcome Trust grant [086696/Z/08/Z]. Data were kindly provided by Thorsten Forster of the Division of Pathway Medicine, University of Edinburgh. ...
doi:10.1002/cpe.2928
pmid:24883047
pmcid:PMC4038771
fatcat:trhiptar6ff5tkehcx32lbmhba
Design by Prototyping: Increasing Agility in Mechatronic Product Design through Prototyping Sprints
2022
Proceedings of the Design Society
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AbstractThis paper adapts the agile scrum sprint, typically used in software development, to a prototyping sprint for mechatronic product design. ...
A comparison of 18 student projects using either prototyping sprints or a traditional iterative prototyping approach shows that prototyping sprints helped students make more deliberate, strategic decisions ...
For software products, an increment can be a new feature that is ready to be released in a software update at the end of the sprint, so value is created immediately. ...
doi:10.1017/pds.2022.22
fatcat:2rkxtdfr75a5ripczumaqgls4y
D2.1 - First release and evaluation of the AI-SPRINT design tools
2021
Zenodo
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The main results of this release include: The implementation of a prototype application for the AI-SPRINT Healthcare use case that adopts a parallel version of the Cascade Support Vector Machine (CSVM) ...
The aim of the AI-SPRINT project is to implement a design and runtime framework to accelerate the development of AI applications whose components are spread across the edge-cloud computing continuum. ...
new ones that are relevant for the AI-SPRINT design tools. ...
doi:10.5281/zenodo.6372743
fatcat:xgqnzv2z7na2vbuqiplhkop2eq
Assessment of linear sprinting performance: a theoretical paradigm
2004
Journal of Sports Science and Medicine
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A new model for assessing and interpreting linear sprinting performance was developed. ...
Key PointsAssessment of linear sprinting should include splits for a greater understanding of performance.Individual split times can be used to identify specific areas of weakness.Appropriate training ...
The purpose of this paper is to describe a new theoretical framework for assessing linear sprinting performance. ...
pmid:24624004
pmcid:PMC3938058
fatcat:i2t2iv4am5byblcxp3ycyecid4
Optimization of a parallel permutation testing function for the SPRINT R package
2011
Concurrency and Computation
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The Simple Parallel R Interface (SPRINT) is a package that provides biostatisticians with easy access to High Performance Computing systems and allows the addition of parallelized functions to R. ...
The statistical language R and its Bioconductor package are favoured by many biostatisticians for processing microarray data. ...
ACKNOWLEDGEMENTS Funding : This work was funded under the Wellcome Trust, Grant WT086696MA and a HECToR Distributed Computational Science and Engineering (dCSE) support award administered by NAG Ltd. ...
doi:10.1002/cpe.1787
pmid:23335858
pmcid:PMC3546371
fatcat:a3pza4wq4ja2jfmfprinvhkh6e
Community-driven development for computational biology at Sprints, Hackathons and Codefests
2014
BMC Bioinformatics
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, as well as providing an opportunity for new participants to get involved in collaborative projects. ...
However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants ...
The events' hosting institutions are thanked for providing facilities and support. ...
doi:10.1186/1471-2105-15-s14-s7
pmid:25472764
pmcid:PMC4255748
fatcat:p7jbtuipnbdafo3zauaqrhu5sq
Coaching sprinting: Expert coaches' perception of resistance-based training
2016
International journal of sports science & coaching
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Participants for the study comprised of seven expert track and field sprint coaches. ...
The aim of this study was to explore expert coaches' perceptions of resistance-based training for sprinting. ...
Overall, sport scientists and sports science journal articles and databases ranked low as a source of new ideas for training [22] . ...
doi:10.1177/1747954116667113
fatcat:p3ww5izjjfe5hihsn2exxcktum
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
[article]
2020
arXiv
pre-print
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Our method demonstrated a high performance and provides opportunities for new applications in the field of automated video analysis in canoe sprint. ...
Here, we propose an approach for the automated waterline detection. First, we utilized a pre-trained Mask R-CNN by means of transfer learning for canoe segmentation. ...
It is a two-stage framework built on top of a Faster R-CNN [29] : the first stage generates object proposals, while the second stage predicts the class of each object, refines its bounding box and generates ...
arXiv:2004.09573v1
fatcat:7wcx74y4hrdupfpcb7r2ojdzee
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