The Resource Exploring the DataFlow Supercomputing Paradigm : Example Algorithms for Selected Applications, edited by Veljko Milutinovic, Milos Kotlar, (electronic resource)

Exploring the DataFlow Supercomputing Paradigm : Example Algorithms for Selected Applications, edited by Veljko Milutinovic, Milos Kotlar, (electronic resource)

Label
Exploring the DataFlow Supercomputing Paradigm : Example Algorithms for Selected Applications
Title
Exploring the DataFlow Supercomputing Paradigm
Title remainder
Example Algorithms for Selected Applications
Statement of responsibility
edited by Veljko Milutinovic, Milos Kotlar
Contributor
Editor
Editor
Provider
Subject
Language
eng
Summary
This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: Introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph Describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user Showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm Reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure Presents an algorithm for spherical code design, based on the variable repulsion force method Discusses the implementation of a face recognition application, using the DataFlow paradigm Proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers Surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems
Member of
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • rrMSO9fuVak
  • YdeeBD0_bHA
Image bit depth
0
LC call number
TK5105.5-5105.9
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Milutinović, Veljko
  • Kotlar, Milos.
  • SpringerLink
Series statement
Computer Communications and Networks,
http://library.link/vocab/subjectName
  • Computer Communication Networks
  • Telecommunication
  • Big data
  • Computer science
  • Data transmission systems
  • Computer Communication Networks
  • Communications Engineering, Networks
  • Big Data
  • Computation by Abstract Devices
  • Input/Output and Data Communications
Label
Exploring the DataFlow Supercomputing Paradigm : Example Algorithms for Selected Applications, edited by Veljko Milutinovic, Milos Kotlar, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part I: Theoretical Issues -- A Method for Big-Graph Partitioning Using a Skeleton Graph -- On Cloud-Supported Web-Based Integrated Development Environments for Programming DataFlow Architectures -- Part II: Applications in Mathematics -- Minimization and Maximization of Functions: Golden Section Search in One Dimension -- Matrix-Based Algorithms for DataFlow Computer Architecture: An Overview and Comparison -- Application of Maxeler DataFlow Supercomputing to Spherical Code Design -- Part III: Applications in Image Understanding, Biomedicine, Physics Simulation, and Business -- Face Recognition Using Maxeler DataFlow -- Biomedical Image Processing Using Maxeler DataFlow Engines -- An Overview of Selected DataFlow Applications in Physics Simulations -- Bitcoin Mining Using Maxeler DataFlow Computers
Dimensions
unknown
Extent
X, 315 p. 212 illus., 101 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030138035
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-13803-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-13803-5
Label
Exploring the DataFlow Supercomputing Paradigm : Example Algorithms for Selected Applications, edited by Veljko Milutinovic, Milos Kotlar, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Part I: Theoretical Issues -- A Method for Big-Graph Partitioning Using a Skeleton Graph -- On Cloud-Supported Web-Based Integrated Development Environments for Programming DataFlow Architectures -- Part II: Applications in Mathematics -- Minimization and Maximization of Functions: Golden Section Search in One Dimension -- Matrix-Based Algorithms for DataFlow Computer Architecture: An Overview and Comparison -- Application of Maxeler DataFlow Supercomputing to Spherical Code Design -- Part III: Applications in Image Understanding, Biomedicine, Physics Simulation, and Business -- Face Recognition Using Maxeler DataFlow -- Biomedical Image Processing Using Maxeler DataFlow Engines -- An Overview of Selected DataFlow Applications in Physics Simulations -- Bitcoin Mining Using Maxeler DataFlow Computers
Dimensions
unknown
Extent
X, 315 p. 212 illus., 101 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030138035
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-13803-5
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-13803-5

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