Exploring the Dataflow Supercomputing Paradigm: Example Algorithms for Selected Applications
暫譯: 探索數據流超級計算範式：選定應用的示例算法

Milutinovic, Veljko, Kotlar, Milos

Exploring the Dataflow Supercomputing Paradigm: Example Algorithms for Selected Applications
  • 出版商: Springer
  • 出版日期: 2019-06-13
  • 售價: $2,390
  • 貴賓價: 9.5 折 $2,271
  • 語言: 英文
  • 頁數: 315
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303013802X
  • ISBN-13: 9783030138028
  • 相關分類: Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

這本實用的文本/參考書描述了在資料流（DataFlow）範式中實現各種演算法的過程，突顯了資料流計算在影像理解、生物醫學、物理模擬和商業等領域的令人興奮的潛力。

此外，將其他演算法映射到資料流架構的內容也涵蓋在同一團隊的以下Springer書籍中：《資料流超級計算基礎：研究、開發與教育》、《資料流超級計算基礎：演算法、應用與實現》，以及《資料流超級計算指南》。

主題與特點：介紹了一種針對大型圖形的圖形劃分新方法，涉及骨架圖的構建；描述了一個雲端支持的基於網頁的整合開發環境，能夠在沒有用戶擁有的資料流硬體的情況下開發和運行程式；展示了一種計算一維函數極值的新方法，通過實現黃金分割搜尋（Golden Section Search）演算法；回顧了使用矩陣和向量作為底層數據結構的資料流架構的演算法；提出了一種基於變量排斥力法的球面碼設計演算法；討論了使用資料流範式實現的臉部識別應用；提出了一種基於感興趣區域的乳房X光影像分割方法，適用於高性能可重構的資料流計算機；調查了在物理模擬中多樣化的資料流應用，並研究了一種資料流實現的比特幣挖礦演算法。

這本獨特的著作將成為資料流計算及超級計算領域研究人員和程式設計師的重要參考資料。研究生和高年級本科生也會發現這本書是資料探勘、微處理器系統和VLSI系統課程的理想補充教材。

作者簡介

Dr. Veljko Milutinovic teaches DataFlow supercomputing in the School of Informatics, Computing, and Engineering at Indiana University, Bloomington, IN, USA, and previously served for about a decade on the faculty of Purdue University in West Lafayette, IN, USA. He is a co-designer of DARPA's first GaAs RISC microprocessor on 200MHz and a co-designer of the DARPA's 4096-processor systolic array. He is a Life Fellow of the IEEE and a Life Member the ACM. He is a Member of The Academy of Europe, a Member of the Serbian National Academy of Engineering, and a Foreign Member of the Montenegrin Academy of Sciences and Arts. He serves as a Senior Advisor to Maxeler Technologies in London, UK.
Mr. Milos Kotlar is a Software Engineer at the Swiss-Swedish company ABB (ASEA Brown Boveri) of Zurich, Switzerland and a Ph.D. student at the School of Electrical Engineering at the University of Belgrade, Serbia. He serves as a TA for DataFlow supercomputing courses and as an RA for DataFlow supercomputing research in the domain of tensor calculus.

作者簡介(中文翻譯)

維爾科·米盧提諾維奇博士在美國印第安納州布盧明頓的印第安納大學資訊學、計算與工程學院教授資料流超級計算，並曾在美國印第安納州西拉法葉的普渡大學任教約十年。他是DARPA首款200MHz GaAs RISC微處理器的共同設計者，以及DARPA的4096處理器脈動陣列的共同設計者。他是IEEE的終身會士及ACM的終身會員。他是歐洲學院的成員，塞爾維亞國家工程院的成員，以及黑山科學與藝術學院的外國成員。他擔任英國倫敦Maxeler Technologies的高級顧問。
米洛斯·科特拉爾先生是瑞士蘇瑞公司ABB（ASEA Brown Boveri）的一名軟體工程師，並且是塞爾維亞貝爾格萊德大學電氣工程學院的博士生。他擔任資料流超級計算課程的助教（TA）以及在張量微積分領域的資料流超級計算研究的研究助理（RA）。

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