Parallel Computing for Data Science: With Examples in R, C++ and Cuda
暫譯: 數據科學的並行計算：以 R、C++ 和 Cuda 為例
Matloff, Norman
- 出版商: CRC
- 出版日期: 2020-12-18
- 售價: $2,480
- 貴賓價: 9.5 折 $2,356
- 語言: 英文
- 頁數: 328
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367738198
- ISBN-13: 9780367738198
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相關分類:
C++ 程式語言、CUDA、Data Science
海外代購書籍(需單獨結帳)
相關主題
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)
《平行計算與資料科學：以 R、C++ 和 CUDA 為例》是首批專注於平行資料結構、演算法、軟體工具及資料科學應用的平行計算書籍之一。它的範例不僅來自於經典的「n 個觀察值，p 個變數」矩陣格式，還包括時間序列、網路圖模型以及資料科學中常見的其他多種結構。這些範例展示了在平行程式設計中遇到的各種問題。
本書主要集中於計算，展示如何在三種類型的平台上進行計算：多核心系統、叢集和圖形處理單元（GPUs）。它還討論了跨越多種硬體的軟體套件，這些套件可以從多種程式語言中使用。讀者會發現，本書所建立的基礎能夠很好地推廣到其他語言，如 Python 和 Julia。
作者簡介
Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He has published numerous articles in prestigious journals, such as the ACM Transactions on Database Systems, ACM Transactions on Modeling and Computer Simulation, Annals of Probability, Biometrika, Communications of the ACM, and IEEE Transactions on Data Engineering. He earned a PhD in pure mathematics from UCLA, specializing in probability/functional analysis and statistics.
作者簡介(中文翻譯)
諾曼·馬特洛夫博士是加州大學戴維斯分校的計算機科學教授，並且是統計系的創始成員之一。他是一位統計顧問，曾任資料庫軟體開發人員。他在多個知名期刊上發表了大量文章，如ACM Transactions on Database Systems、ACM Transactions on Modeling and Computer Simulation、Annals of Probability、Biometrika、Communications of the ACM和IEEE Transactions on Data Engineering。他在加州大學洛杉磯分校獲得純數學博士學位，專攻機率/函數分析和統計學。
