BibSLEIGH
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Used together with:
use (5)
applic (3)
core (3)
skew (3)
distribut (3)

Stem mapreduc$ (all stems)

15 papers:

SIGMODSIGMOD-2014-ElmeleegyOR #distributed #memory management #named #pipes and filters #using
SpongeFiles: mitigating data skew in mapreduce using distributed memory (KE, CO, BR), pp. 551–562.
SIGMODSIGMOD-2014-LevinK #network #pipes and filters #social #using
Stratified-sampling over social networks using mapreduce (RL, YK), pp. 863–874.
HPDCHPDC-2014-El-HelwHB #clustering #manycore #named #pipes and filters
Glasswing: accelerating mapreduce on multi-core and many-core clusters (IEH, RFHH, HEB), pp. 295–298.
CIKMCIKM-2013-LinYM #named #pipes and filters #sql
MRPacker: an SQL to mapreduce optimizer (XL, YY, SM), pp. 1157–1160.
RecSysRecSys-2013-SchelterBSAM #distributed #matrix #pipes and filters #using
Distributed matrix factorization with mapreduce using a series of broadcast-joins (SS, CB, MS, AA, VM), pp. 281–284.
SIGMODSIGMOD-2012-KwonBHR #named #pipes and filters
SkewTune: mitigating skew in mapreduce applications (YK, MB, BH, JAR), pp. 25–36.
SIGMODSIGMOD-2012-SuS #pipes and filters
Oracle in-database hadoop: when mapreduce meets RDBMS (XS, GS), pp. 779–790.
SIGMODSIGMOD-2011-Quiane-RuizPSD #pipes and filters
RAFT at work: speeding-up mapreduce applications under task and node failures (JAQR, CP, JS, JD), pp. 1225–1228.
KDDKDD-2011-GhotingKPK #algorithm #data mining #implementation #machine learning #mining #named #parallel #pipes and filters #tool support
NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce (AG, PK, EPDP, RK), pp. 334–342.
SIGIRSIGIR-2011-LeeHWHS #dataset #graph #image #learning #multi #pipes and filters #scalability #using
Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce (WYL, LCH, GLW, WHH, YFS), pp. 1121–1122.
ESEC-FSEESEC-FSE-2011-CsallnerFL #source code #testing
New ideas track: testing mapreduce-style programs (CC, LF, CL), pp. 504–507.
HPDCHPDC-2011-BalkirFR #architecture #distributed #mining #pipes and filters #using
A distributed look-up architecture for text mining applications using mapreduce (ASB, ITF, AR), pp. 279–280.
ISMMISMM-2011-SingerKBL #garbage collection #java #multi #pipes and filters
Garbage collection auto-tuning for Java mapreduce on multi-cores (JS, GK, GB, ML), pp. 109–118.
ICEISICEIS-DISI-2009-MartinoSPV #co-evolution #database #framework #pipes and filters
A Mapreduce Framework for Change Propagation in Geographic Databases (FDM, SS, GP, MV), pp. 31–36.
HPDCHPDC-2009-IbrahimJCCWQ #implementation #named #pipes and filters #towards #virtual machine
CLOUDLET: towards mapreduce implementation on virtual machines (SI, HJ, BC, HC, SW, LQ), pp. 65–66.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.