國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Exploring the dataflow supercomputin...

Kotlar, Milos.

Exploring the dataflow supercomputing paradigmexample algorithms for selected applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploring the dataflow supercomputing paradigmedited by Veljko Milutinovic, Milos Kotlar.
其他題名:	example algorithms for selected applications /
其他作者:	Milutinovic, Veljko.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	x, 315 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data flow computing.
電子資源:	https://doi.org/10.1007/978-3-030-13803-5
ISBN:	9783030138035$q(electronic bk.)

Exploring the dataflow supercomputing paradigmexample algorithms for selected applications /
Exploring the dataflow supercomputing paradigmexample algorithms for selected applications /[electronic resource] :edited by Veljko Milutinovic, Milos Kotlar. - Cham :Springer International Publishing :2019. - x, 315 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

348292
Data flow computing.

LC Class. No.: QA76.9.D338 / E97 2019

Dewey Class. No.: 004

Exploring the dataflow supercomputing paradigmexample algorithms for selected applications /
LDR:03838nmm a2200337 a 4500 001 558690
003 DE-He213
005 20190527174531.0
006 m d
007 cr nn 008maaau
008 191219s2019 gw s 0 eng d
020 $a 9783030138035$q(electronic bk.)
020 $a 9783030138028$q(paper)
024 7 $a 10.1007/978-3-030-13803-5 $2 doi
035 $a 978-3-030-13803-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D338 $b E97 2019
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 004 $2 23
090 $a QA76.9.D338 $b E96 2019
245 0 0 $a Exploring the dataflow supercomputing paradigm $h [electronic resource] : $b example algorithms for selected applications / $c edited by Veljko Milutinovic, Milos Kotlar.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 315 p. : $b ill., digital ; $c 24 cm.
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 Data flow computing. $3 348292
650 0 $a Supercomputers. $3 211440
650 1 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Big Data. $3 760530
650 2 4 $a Computation by Abstract Devices. $3 273703
650 2 4 $a Input/Output and Data Communications. $3 274473
700 1 $a Milutinovic, Veljko. $3 719290
700 1 $a Kotlar, Milos. $3 841409
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Computer communications and networks. $3 560387
856 4 0 $u https://doi.org/10.1007/978-3-030-13803-5
950 $a Computer Science (Springer-11645)