國立虎尾科技大學 |

Exploring the DataFlow Supercomputing Paradigm = Example Algorithms for Selected Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Exploring the DataFlow Supercomputing Paradigm/ edited by Veljko Milutinovic, Milos Kotlar.
其他題名:	Example Algorithms for Selected Applications /
其他作者:	Milutinovic, Veljko.
面頁冊數:	X, 315 p. 212 illus., 101 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer communication systems. -
電子資源:	https://doi.org/10.1007/978-3-030-13803-5
ISBN:	9783030138035

Exploring the DataFlow Supercomputing Paradigm = Example Algorithms for Selected Applications /
Exploring the DataFlow Supercomputing ParadigmExample Algorithms for Selected Applications /[electronic resource] :edited by Veljko Milutinovic, Milos Kotlar. - 1st ed. 2019. - X, 315 p. 212 illus., 101 illus. in color.online resource. - Computer Communications and Networks,1617-7975. - Computer Communications and Networks,.

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.

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.

ISBN: 9783030138035

Standard No.: 10.1007/978-3-030-13803-5doiSubjects--Topical Terms:

1115394
Computer communication systems.

LC Class. No.: TK5105.5-5105.9

Dewey Class. No.: 004.6

Exploring the DataFlow Supercomputing Paradigm = Example Algorithms for Selected Applications /
LDR:04225nam a22004095i 4500 001 1008174
003 DE-He213
005 20200703021125.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030138035 $9 978-3-030-13803-5
024 7 $a 10.1007/978-3-030-13803-5 $2 doi
035 $a 978-3-030-13803-5
050 4 $a TK5105.5-5105.9
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 004.6 $2 23
245 1 0 $a Exploring the DataFlow Supercomputing Paradigm $h [electronic resource] : $b Example Algorithms for Selected Applications / $c edited by Veljko Milutinovic, Milos Kotlar.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a X, 315 p. 212 illus., 101 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Computer Communications and Networks, $x 1617-7975
505 0 $a 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.
520 $a 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.
650 0 $a Computer communication systems. $3 1115394
650 0 $a Electrical engineering. $3 596380
650 0 $a Big data. $3 981821
650 0 $a Computers. $3 565115
650 0 $a Input-output equipment (Computers). $3 1254918
650 1 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Communications Engineering, Networks. $3 669809
650 2 4 $a Big Data. $3 1017136
650 2 4 $a Computation by Abstract Devices. $3 669792
650 2 4 $a Input/Output and Data Communications. $3 669873
700 1 $a Milutinovic, Veljko. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1113373
700 1 $a Kotlar, Milos. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1226835
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030138028
776 0 8 $i Printed edition: $z 9783030138042
776 0 8 $i Printed edition: $z 9783030138059
830 0 $a Computer Communications and Networks, $x 1617-7975 $3 1255420
856 4 0 $u https://doi.org/10.1007/978-3-030-13803-5
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)