Parallel Computing for Data Science: With Examples in R, C++ and CUDA (Hardcover)

Norman Matloff

  • 出版商: CRC
  • 出版日期: 2015-06-04
  • 售價: $2,275
  • 貴賓價: 9.5$2,161
  • 語言: 英文
  • 頁數: 328
  • 裝訂: Hardcover
  • ISBN: 1466587016
  • ISBN-13: 9781466587014
  • 相關分類: C++ 程式語言CUDAData Science
  • 立即出貨 (庫存 < 3)

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商品描述

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.

 

With the main focus on computation, the book shows how to compute on three types of platforms: multicore systems, clusters, and graphics processing units (GPUs). It also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Readers will find that the foundation established in this book will generalize well to other languages, such as Python and Julia.

商品描述(中文翻譯)

《Parallel Computing for Data Science: With Examples in R, C++ and CUDA》是首批專注於並行資料結構、演算法、軟體工具和資料科學應用的並行計算書籍之一。它不僅包含了來自經典的「n觀測值,p變數」矩陣格式的範例,還包括了來自時間序列、網絡圖模型和其他在資料科學中常見的結構的範例。這些範例展示了並行程式設計中遇到的各種問題。

本書主要關注計算,展示了如何在三種平台上進行計算:多核系統、叢集和圖形處理單元(GPU)。它還討論了跨越多種硬體類型並可從多種程式語言使用的軟體套件。讀者將發現本書所建立的基礎將很好地適用於其他語言,如Python和Julia。