BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Finland
1 × France
1 × USA
Collaborated with:
N.Satish P.Dubey M.M.A.Patwary B.C.Catanzaro K.Keutzer S.Madden R.Taft M.Vartak N.R.Satish M.Stonebraker A.Turmukhametova T.Mostak P.Indyk S.Dulloor M.J.Anderson S.G.Vadlamudi D.Das J.Snoek O.Rippel K.Swersky R.Kiros Prabhat R.P.Adams J.Seo J.Park M.A.Hassaan S.Sengupta Z.Yin
Talks about:
graph (4) analyt (3) use (3) processor (1) framework (1) benchmark (1) parallel (1) bayesian (1) support (1) similar (1)

Person: Narayanan Sundaram

DBLP DBLP: Sundaram:Narayanan

Contributed to:

ICML 20152015
VLDB 20152015
SIGMOD 20142014
VLDB 20132013
ICML 20082008

Wrote 6 papers:

ICML-2015-SnoekRSKSSPPA #network #optimisation #scalability #using
Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
VLDB-2015-SundaramSPDAV0D #effectiveness #graph #named #performance
GraphMat: High performance graph analytics made productive (NS, NS, MMAP, SD, MJA, SGV, DD, PD), pp. 1214–1225.
SIGMOD-2014-SatishSPSPHSYD #dataset #framework #graph #navigation #using
Navigating the maze of graph analytics frameworks using massive graph datasets (NS, NS, MMAP, JS, JP, MAH, SS, ZY, PD), pp. 979–990.
SIGMOD-2014-TaftVSSMS #benchmark #metric #named
GenBase: a complex analytics genomics benchmark (RT, MV, NRS, NS, SM, MS), pp. 177–188.
VLDB-2013-SundaramTSMIMD #parallel #similarity #streaming #twitter #using
Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing (NS, AT, NS, TM, PI, SM, PD), pp. 1930–1941.
ICML-2008-CatanzaroSK #classification #performance
Fast support vector machine training and classification on graphics processors (BCC, NS, KK), pp. 104–111.

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.