tag :: tuning | BibSonomy

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17 Tips to Speed Up Eclipse | Personal Registry Editor
http://www.nicolasbize.com/blog/7-tips-to-speed-up-eclipse/
3 years ago by @jil
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eclipse
performance
ramdisk
tuning
eclipseperformanceramdisktuning
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1Chiptuning MERCEDES-BENZ C-KLASSE (W202) 1993-2000 C 250 Turbo-D (202.128), 150PS/110kW, 2497ccm
https://www.chiptuning.com/mercedes-benz/c-klasse-w202-1993-2000/c-250-turbo-d-202-128-150ps-110kw-2497ccm/powercontrol.html
3 years ago by @esistimfluss
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2017
C250
Mercedes
Tuning
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2Linux Performance Tools
auf Bilder klicken
5 years ago by @continued
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Benchmarking
Bilder
Linux
Maps
Observation
Operations
Performance
Performanz
Server
Tools
Tools_maps
Tuning
lang:en
Übersicht
BenchmarkingBilderLinuxMapsObservationOperationsPerformancePerformanzServerToolsTools_mapsTuninglang:enÜbersicht
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1tuning vm.swappiness; vm.vfs_cache_pressure; vm.min_free_kbytes / System Administration / Arch Linux Forums
slabtop command (part of the package procps) shows top memory objects used by the kernel. dstat can help you figure out what is happening. dstat -cdnpmgs --top-bio --top-cpu --top-mem Also have a look at smem ("smem -kt"), it can show you nicely what is in your swap.
5 years ago by @jil
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cache
fs
linux
parameter
pressure
proc
swap
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cachefslinuxparameterpressureprocswaptuningvm
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1filesystems - Can I configure my Linux system for more aggressive file system caching? - Unix & Linux Stack Exchange
http://unix.stackexchange.com/questions/30286/can-i-configure-my-linux-system-for-more-aggressive-file-system-caching
5 years ago by @jil
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cache
filesystem
fs
linux
parameter
ssd
sys
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cachefilesystemfslinuxparameterssdsystuning
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2How-to: Tune Your Apache Spark Jobs (Part 1) - Cloudera Engineering Blog
http://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-1/
5 years ago by @ans
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1Tuning Educational Structures in Europe
http://www.unideusto.org/tuningeu/home.html
5 years ago by @djimenezsanchez
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bolonia
competencias
eees
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1How-to: Tune Your Apache Spark Jobs (Part 2) - Cloudera Engineering Blog
http://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-2/#Tuning%20Parallelism
5 years ago by @becker
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cloudera
efficiency
read
spark
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tutorial
clouderaefficiencyreadsparktuningtutorial
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1HAProxy’s keep-alive functionality (and how it can speed up your site) | kill the radio
http://blog.killtheradio.net/technology/haproxys-keep-alive-functionality-and-how-it-can-speed-up-your-site/
6 years ago by @flimm
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haproxy
tuning
haproxytuning
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1Speeding up our API
https://developers.livechatinc.com/blog/speeding-up-our-api/
6 years ago by @flimm
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tuning
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1Introduction to JMH - Java Performance Tuning Guide
Java Performance Tuning Guide
6 years ago by @zuendorf
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Guide
Java
Performance
Tuning
GuideJavaPerformanceTuning
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1How-to: Tune Your Apache Spark Jobs (Part 2) | Cloudera Engineering Blog
http://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-2/
6 years ago by @becker
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spark
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2How-to: Tune Your Apache Spark Jobs (Part 1) | Cloudera Engineering Blog
http://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-1/
6 years ago by @becker
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read
spark
tune
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1Hadoop Performance Tuning - White Paper
https://hadoop-toolkit.googlecode.com/files/White%20paper-HadoopPerformanceTuning.pdf
6 years ago by @becker
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Hadoop
Paper
Performance
Tuning
White
HadoopPaperPerformanceTuningWhite
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17 Tips for Improving MapReduce Performance | Cloudera Developer Blog
http://blog.cloudera.com/blog/2009/12/7-tips-for-improving-mapreduce-performance/
7 years ago by @jaeschke
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cloudera
cluster
hadoop
performance
speed
tuning
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1 Synopsis of articles & videos on Performance tuning, JVM, GC in Java, Mechanical Sympathy, et al
http://www.javaadvent.com/2013/12/part-1-of-3-synopsis-of-articles-videos.html
7 years ago by @sac
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gc
java
jvm
profiling
tuning
gcjavajvmprofilingtuning
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1Performance tuning a Hive query - Stack Overflow
http://stackoverflow.com/questions/11387543/performance-tuning-a-hive-query
8 years ago by @dbenz
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hive
query
tuning
hivequerytuning
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1The Evolution of Web Development for Mobile Devices | April 2013 | Communications of the ACM
http://cacm.acm.org/magazines/2013/4/162507-the-evolution-of-web-development-for-mobile-devices/fulltext
8 years ago by @sac
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acm
de
development
mobile
tuning
web
acmdedevelopmentmobiletuningweb
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1How to tune parameters for machine learning
#-------------------------------------------------------------------- # SVM #-------------------------------------------------------------------- formula <- as.formula(factor(DIABETE2) ~ . ); svm.tune <- tune.svm(formula, data = train.set, gamma = 10^(-3:0), cost = 10^(-1:1)); svm.model <- svm(formula, data = train.set, kernel = "linear", gamma = svm.tune$best.parameters$gamma, cost = svm.tune$best.parameters$cost); #-------------------------------------------------------------------- # Confusion matrix #-------------------------------------------------------------------- train.pred <- predict(svm.model, train.set); test.pred <- predict(svm.model, test.set); svm.table <- table(pred = test.pred, true = test.result); print(svm.table);
8 years ago by @macek
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Parameter
SVM
Tuning
ParameterSVMTuning
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1Drupal caching, speed and performance | drupal.org
http://drupal.org/node/326504
8 years ago by @sac
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cache
drupal
performance
tuning
cachedrupalperformancetuning
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4How to Fine-Tune BERT for Text Classification?
C. Sun, X. Qiu, Y. Xu, and X. Huang. Chinese Computational Linguistics, page 194--206. Cham, Springer International Publishing, (2019)
11 months ago by @nosebrain
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bert
deep
fine
learning
transfer
tuning
bertdeepfinelearningtransfertuning
(0)
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2Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
P. Probst, A. Boulesteix, and B. Bischl. Journal of Machine Learning Research (2019)
2 years ago by @jakobgerst
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machine-learning
tuning
machine-learningtuning
(0)
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1mlrMBO: A modular framework for model-based optimization of expensive black-box functions
B. Bischl, J. Richter, J. Bossek, D. Horn, J. Thomas, and M. Lang. arXiv preprint arXiv:1703.03373 (2017)
2 years ago by @jakobgerst
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bayesian-optimization
machine-learning
tuning
bayesian-optimizationmachine-learningtuning
(0)
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1A Complete Reference for Informatica Power Center ETL Tool
A. Gupta. International Journal of Trend in Scientific Research and Development 3 (2): 1063-1070 (February 2019)
2 years ago by @ijtsrd
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debugger
performance
tuning
udf
debuggerperformancetuningudf
(0)
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1AN ALTERNATE APPROACH TO RESOURCE ALLOCATION STRATEGY USING NETWORK METRICSIN GRID
Valliyammai. International Journal of Grid Computing & Applications (IJGCA) 1 (2): 1-11 (December 2010)
2 years ago by @himanhero
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Agents
Grid
Mobile
Monitoring
Network
Resource
Selection
metrics
tuning
AgentsGridMobileMonitoringNetworkResourceSelectionmetricstuning
(0)
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1Tuning Response Curves for Synthetic Biology
J. Ang, E. Harris, B. Hussey, R. Kil, and D. McMillen. ACS Synth. Biol. 2 (10): 547--567 (Aug 1, 2013)
2 years ago by @karthikraman
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dynamics
synthetic-biology
tuning
dynamicssynthetic-biologytuning
(0)
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1Tuning the range and stability of multiple phenotypic states with coupled positive-negative feedback loops.
M. Avenda\ no, C. Leidy, and J. Pedraza. Nature communications (Nov 5, 2013)
2 years ago by @karthikraman
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design-principles
feedback
regulation
tuning
design-principlesfeedbackregulationtuning
(0)
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1Predictable tuning of protein expression in bacteria
M. Bonde, M. Pedersen, M. Klausen, S. Jensen, T. Wulff, S. Harrison, A. Nielsen, M. Herrgard, and M. Sommer. Nature Methods 13 (3): 233--236 (Jan 11, 2016)
2 years ago by @karthikraman
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codon-bias
gene-expression
tuning
codon-biasgene-expressiontuning
(0)
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5Practical Bayesian Optimization of Machine Learning Algorithms.
J. Snoek, H. Larochelle, and R. Adams. NIPS, page 2960-2968. (2012)
2 years ago by @jakobgerst
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learning
machine
machine-learning
parameter-tuning
tuning
learningmachinemachine-learningparameter-tuningtuning
(0)
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1Review on Design of Control systems for ethered UUVs using PID controllers
M. Viswanath. International Journal of Trend in Scientific Research and Development (June 2017)
2 years ago by @ijtsrd
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&
Communication
Control-Navigation-communication
Electronics
Engineering
PID
ROV
Taguchi's
UUV
controllers.
method
self
tuning
&CommunicationControl-Navigation-communicationElectronicsEngineeringPIDROVTaguchi'sUUVcontrollers.methodselftuning
(0)
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2Effect of Band Bending and Energy Level Alignment at the Donor/Acceptor Interface on Open-Circuit Voltage in Organic Solar Cells
S. Izawa, N. Shintaku, and M. Hiramoto. The Journal of Physical Chemistry Letters (May 2018)
3 years ago by @cgoehler
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opencircuitvoltage
organics
smallMolecules
tuning
workfunction
opencircuitvoltageorganicssmallMoleculestuningworkfunction
(0)
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2MLtuner: System Support for Automatic Machine Learning Tuning
H. Cui, G. Ganger, and P. Gibbons. (2018)cite arxiv:1803.07445.
3 years ago by @rcb
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hyperparameter
tuning
hyperparametertuning
(0)
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1Band Gap Tuning via Lattice Contraction and Octahedral Tilting in Perovskite Materials for Photovoltaics
R. Prasanna, A. Gold-Parker, T. Leijtens, B. Conings, A. Babayigit, H. Boyen, M. Toney, and M. McGehee. Journal of the American Chemical Society 0 (ja): null (0)PMID: 28704048.
4 years ago by @fabianopkm
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bandgap
contracting
perovskite
tilting
tuning
bandgapcontractingperovskitetiltingtuning
(0)
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2A scalable auto-tuning framework for compiler optimization
A. Tiwari, C. Chen, J. Chame, M. Hall, and J. Hollingsworth. Parallel Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on, page 1--12. (May 2009)
6 years ago by @christophv
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Application_software
Auto-tuning
CHiLL_compiler
Computer_architecture
Costs
Expose
Intel_compiler
Kernel
Optimizing_compilers
Parallel_architectures
Program_processors
Programming_profession
Software_libraries
Tuning
autotuning_compiler-generated_code
compiler_optimization
computation_kernels
parallel_processing
parallel_search_backend
program_compilers
scalable_autotuning_framework
search_algorithm
Application_softwareAuto-tuningCHiLL_compilerComputer_architectureCostsExposeIntel_compilerKernelOptimizing_compilersParallel_architecturesProgram_processorsProgramming_professionSoftware_librariesTuningautotuning_compiler-generated_codecompiler_optimizationcomputation_kernelsparallel_processingparallel_search_backendprogram_compilersscalable_autotuning_frameworksearch_algorithm
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2Exploratory Performance Analysis and Tuning of Parallel Interactive Volume Visualization on Large Displays
A. Panagiotidis, S. Frey, and T. Ertl. Eurographics Conference on Visualization (EuroVis) - Short Papers, page 13-17. The Eurographics Association, (2015)
6 years ago by @alexandrospanagiotidis
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analysis
coordinates
display
high-resolution
large
myown
parallel
performance
rendering
tuning
volume
analysiscoordinatesdisplayhigh-resolutionlargemyownparallelperformancerenderingtuningvolume
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2Fast sparse matrix-vector multiplication on graphics processing unit for finite element analysis
A. Cheik Ahamed, and F. Magoulès. High Performance Computing and Communication 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on, page 1307-1314. (June 2012)
6 years ago by @akcheik
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Finite
algebra
analysis
dblp
dynamic
element
graphics
gridification
iterative
linear
matrix-vector
methods
multiplication
myown
processing
sparse
tuning
unit
Finitealgebraanalysisdblpdynamicelementgraphicsgridificationiterativelinearmatrix-vectormethodsmultiplicationmyownprocessingsparsetuningunit
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1A mathematical model for optimal tuning systems
L. Polansky, D. Rockmore, M. Johnson, D. Repetto, and W. Pan. Perspectives of New Music (2009)
6 years ago by @joaakive
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mathematical
music
system
tuning
mathematicalmusicsystemtuning
(0)
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1Solution of Electromagnetic and Velocity Fields for an Electrohydrodynamic Fluid Dynamical System
H. Rajveer S Yaduvanshi. International Journal of Advanced Computer Science and Applications(IJACSA) (2011)
7 years ago by @thesaiorg
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Incompressible
Navier-Maxwell’s
ability.,Permittivity
coupled
equations,
fluid,
frequency
reconfigure
resonance
tuning
IncompressibleNavier-Maxwell’sability.,Permittivitycoupledequations,fluid,frequencyreconfigureresonancetuning
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1SS-SVM (3SVM): A New Classification Method for Hepatitis Disease Diagnosis
T. Mohammed H. Afif Abdel-Rahman Hedar. International Journal of Advanced Computer Science and Applications(IJACSA) (2013)
7 years ago by @thesaiorg
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Classification;
Machine;
Parameter
Scatter
Search;
Support
Vector
tuning
Classification;Machine;ParameterScatterSearch;SupportVectortuning
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1Optimized Histogram Based Contrast Limited Enhancement for Mammogram Images
M. Shelda Mohan. ACEEE Int. J. on Information Technology (March 2013)
8 years ago by @ideseditor
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CLAHE
Contrast
Criterion
Enhancement
Equalization
Histogram
Local
Objective
Optimization
Parameter
Tuning
parameter
CLAHEContrastCriterionEnhancementEqualizationHistogramLocalObjectiveOptimizationParameterTuningparameter
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