
PETSc
 Referenced in 1593 articles
[sw04012]
 data structures and routines that provide the building blocks for the implementation of largescale...

MapReduce
 Referenced in 263 articles
[sw00546]
 model initially developed for largescale web content processing. Data analysis meets the issue...

MINOS
 Referenced in 459 articles
[sw05095]
 MINOS is a largescale optimization system, for the solution of sparse linear and nonlinear ... factors of the basis matrix), automatic scaling of linear contraints, and automatic estimation of some ... efficiently. File formats for constraint and basis data are compatible with the industry MPS format...

SLEP
 Referenced in 42 articles
[sw13487]
 thus the algorithms can handle largescale sparse data. 2) Optimal Convergence Rate. The convergence...

Spark
 Referenced in 41 articles
[sw23653]
 have been highly successful in implementing largescale dataintensive applications on commodity clusters. However...

LIBLINEAR
 Referenced in 172 articles
[sw04880]
 open source library for largescale linear classification. It supports logistic regression and linear support ... that LIBLINEAR is very efficient on large sparse data sets...

MLlib
 Referenced in 25 articles
[sw15430]
 popular opensource platform for largescale data processing that is wellsuited for iterative...

MCF
 Referenced in 27 articles
[sw05167]
 give computational results for largescale test data (with up to 70 million variables) from...

GRID Infoware
 Referenced in 23 articles
[sw04166]
 single, unified resource for solving largescale compute and data intensive computing applications (e.g, molecular...

starBase
 Referenced in 10 articles
[sw23121]
 proteinRNA interaction networks from largescale CLIPSeq data. Although microRNAs (miRNAs), other ... CLIP, HITSCLIP, iCLIP, CLASH) data sets generated by 37 independent studies. By analyzing millions ... analysis and downloading of the aforementioned largescale data sets. This study will greatly expand...

iMiRNAPseDPC
 Referenced in 10 articles
[sw22425]
 larger and more stringent newly constructed benchmark dataset showed that our approach has remarkably ... genome analysis particularly in dealing with largescale data...

PLINK
 Referenced in 68 articles
[sw04581]
 perform a range of basic, largescale analyses in a computationally efficient manner. The focus ... PLINK is purely on analysis of genotype/phenotype data, so there is no support for steps...

Proteinortho
 Referenced in 9 articles
[sw29601]
 algorithm was designed to handle largescale data and can be applied to hundreds...

Jellyfish
 Referenced in 29 articles
[sw12431]
 largescale matrix completion. This paper develops Jellyfish, an algorithm for solving dataprocessing problems ... number of processors. On largescale matrix completion tasks, Jellyfish is orders of magnitude more ... codes. For example, on the Netflix Prize data set, prior art computes rating predictions...

GHadoop
 Referenced in 12 articles
[sw08480]
 adequate programming model for largescale dataintensive applications. The Hadoop framework is a well...

LargeVis
 Referenced in 6 articles
[sw34905]
 LargeVis: Visualizing Largescale and Highdimensional Data. We study the problem of visualizing large ... first compute a similarity structure of the data points and then project them into ... from scaling to largescale and highdimensional data (e.g., millions of data points...

Anaconda
 Referenced in 12 articles
[sw24789]
 collaborative teams of thousands of data scientists running largescale model deployments on highperformance...

SGDLibrary
 Referenced in 6 articles
[sw26680]
 learning (ML). One promising approach for largescale data is to use a stochastic optimization...

ExaGeoStat
 Referenced in 6 articles
[sw30062]
 first step in the merger of largescale data analytics and extreme computing for geospatial...

ABySS
 Referenced in 13 articles
[sw17343]
 efficiently assemble vast amounts of data generated from largescale sequencing projects, such...