Guest Editors Introduction: Extreme Data

Manish Parashar; George K. Thiruvathukal

doi:10.1109/MCSE.2014.83

Guest Editors Introduction: Extreme Data

Manish Parashar, George K. Thiruvathukal

Department of Computer Science

Rutgers University - New Brunswick/Piscataway

Research output: Contribution to journal › Article › peer-review

Abstract

The guest editors discuss work that can accelerate insights from extreme data, from innovative algorithmic formulations to implementation frameworks and software stacks.

Original language	American English
Journal	Computer Science: Faculty Publications and Other Works
Volume	16
Issue number	4
DOIs	https://doi.org/10.1109/MCSE.2014.83
State	Published - Aug 1 2014

Keywords

scientific computing
data-intensive science and engineering
Big Data workflows
dictionary learning
distributed hash tables
Sloan Digital Sky Server
geospatial datasets

Disciplines

Computer Sciences

Access to Document

10.1109/MCSE.2014.83License: Unspecified

Guest Editors Introduction Extreme DataFinal published version, 1.18 MBLicense: Unspecified

Cite this

@article{7182ef88802445589a4955f69fbe7dfb,

title = "Guest Editors Introduction: Extreme Data",

abstract = " The guest editors discuss work that can accelerate insights from extreme data, from innovative algorithmic formulations to implementation frameworks and software stacks.",

keywords = "scientific computing, data-intensive science and engineering, Big Data workflows, dictionary learning, distributed hash tables, Sloan Digital Sky Server, geospatial datasets",

author = "Manish Parashar and Thiruvathukal, \{George K.\}",

note = "M. Parashar and G. K. Thiruvathukal, {"}Extreme Data [Guest editors' introduction],{"} in Computing in Science \& Engineering, vol. 16, no. 4, pp. 8-10, July-Aug. 2014. doi: 10.1109/MCSE.2014.83",

year = "2014",

month = aug,

day = "1",

doi = "10.1109/MCSE.2014.83",

language = "American English",

volume = "16",

journal = "Computer Science: Faculty Publications and Other Works",

number = "4",

}

TY - JOUR

T1 - Guest Editors Introduction: Extreme Data

AU - Parashar, Manish

AU - Thiruvathukal, George K.

N1 - M. Parashar and G. K. Thiruvathukal, "Extreme Data [Guest editors' introduction]," in Computing in Science & Engineering, vol. 16, no. 4, pp. 8-10, July-Aug. 2014. doi: 10.1109/MCSE.2014.83

PY - 2014/8/1

Y1 - 2014/8/1

N2 - The guest editors discuss work that can accelerate insights from extreme data, from innovative algorithmic formulations to implementation frameworks and software stacks.

AB - The guest editors discuss work that can accelerate insights from extreme data, from innovative algorithmic formulations to implementation frameworks and software stacks.

KW - scientific computing

KW - data-intensive science and engineering

KW - Big Data workflows

KW - dictionary learning

KW - distributed hash tables

KW - Sloan Digital Sky Server

KW - geospatial datasets

UR - https://ecommons.luc.edu/cs_facpubs/133

U2 - 10.1109/MCSE.2014.83

DO - 10.1109/MCSE.2014.83

M3 - Article

VL - 16

JO - Computer Science: Faculty Publications and Other Works

JF - Computer Science: Faculty Publications and Other Works

IS - 4

ER -

Guest Editors Introduction: Extreme Data

Abstract

Keywords

Disciplines

Access to Document

Other files and links

Cite this