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Raspberry Pi supercomputing and scientific programm [electronic resource] : MPI4PY, NumPy, and SciPy for enthusiasts

Raspberry Pi supercomputing and scientific programm [electronic resource] : MPI4PY, NumPy, and SciPy for enthusiasts

Material type
E-Book(소장)
Personal Author
Pajankar, Ashwin.
Title Statement
Raspberry Pi supercomputing and scientific programm [electronic resource] : MPI4PY, NumPy, and SciPy for enthusiasts / Ashwin Pajankar.
Publication, Distribution, etc
Berkeley, CA :   Apress,   c2017.  
Physical Medium
1 online resource (xxii, 171 p.) : ill. (some col.).
Series Statement
Technology in action.
ISBN
9781484228777 9781484228784 (eBook)
요약
Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming. The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals and images, carry out calculations using algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home. You will: Discover the essentials of supercomputing Build a low-cost cluster of Raspberry Pis at home Harness the power of parallel programming and the Message Passing Interface (MPI) Use your supercomputer for symbolic, numerical, and scientific programming.
General Note
Title from e-Book title page.  
Content Notes
Chapter 1: Introduction to Single Board Computers and Raspberry Pi -- Chapter 2: Important Linux Commands and Remote Connectivity -- Chapter 3: Introduction to Python -- Chapter 4: ­­­­­­­Introduction to Supercomputers -- Chapter 5: ­­­Message Passing Interface -- Chapter 6: Building the Supercomputer -- Chapter 7: Overclocking Raspberry Pi -- Chapter 8: Parallel Programming in Python 3 -- Chapter 9: Introduction to SciPy Stack and Symbolic Programming -- Chapter 10: Introduction to NumPy -- Chapter 11: Introduction to SciPy -- Chapter 12: Signal Processing with SciPy -- Chapter 13: Image processing with SciPy -- Chapter 14: Matplotlib.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Computer science. Programming languages (Electronic computers).
Short cut
URL
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020 ▼a 9781484228777
020 ▼a 9781484228784 (eBook)
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245 1 0 ▼a Raspberry Pi supercomputing and scientific programm ▼h [electronic resource] : ▼b MPI4PY, NumPy, and SciPy for enthusiasts / ▼c Ashwin Pajankar.
260 ▼a Berkeley, CA : ▼b Apress, ▼c c2017.
300 ▼a 1 online resource (xxii, 171 p.) : ▼b ill. (some col.).
490 1 ▼a Technology in action.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Chapter 1: Introduction to Single Board Computers and Raspberry Pi -- Chapter 2: Important Linux Commands and Remote Connectivity -- Chapter 3: Introduction to Python -- Chapter 4: ­­­­­­­Introduction to Supercomputers -- Chapter 5: ­­­Message Passing Interface -- Chapter 6: Building the Supercomputer -- Chapter 7: Overclocking Raspberry Pi -- Chapter 8: Parallel Programming in Python 3 -- Chapter 9: Introduction to SciPy Stack and Symbolic Programming -- Chapter 10: Introduction to NumPy -- Chapter 11: Introduction to SciPy -- Chapter 12: Signal Processing with SciPy -- Chapter 13: Image processing with SciPy -- Chapter 14: Matplotlib.
520 ▼a Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis. Once the cluster is built, its power has to be exploited by means of programs to run on it. So, Raspberry Pi Supercomputing and Scientific Programming teaches you to code the cluster with the MPI4PY library of Python 3. Along the way, you will learn the concepts of the Message Passing Interface (MPI) standards and will explore the fundamentals of parallel programming on your inexpensive cluster. This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming. The book finishes with details of symbolic mathematics and scientific and numerical programming in Python, using SymPi, SciPy, NumPy, and Matplotlib. You’ll see how to process signals and images, carry out calculations using algebra, and visualize your results, all using Python code. With the power of a Raspberry Pi supercomputer at your fingertips, data-intensive scientific programming becomes a reality at home. You will: Discover the essentials of supercomputing Build a low-cost cluster of Raspberry Pis at home Harness the power of parallel programming and the Message Passing Interface (MPI) Use your supercomputer for symbolic, numerical, and scientific programming.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Programming languages (Electronic computers).
830 0 ▼a Technology in action.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-1-4842-2878-4
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 004.1 Accession No. E14014268 Availability Loan can not(reference room) Due Date Make a Reservation Service M

Contents information

Author Introduction

애쉬윈 파얀카(지은이)

프로그래머, 메이커, 작가, 유튜버로 박학다식하며 과학의 대중화에 힘쓰고 있다. 인도의 IIT 하이데라바드 MTech에서 컴퓨터 과학과 공학을 전공했다. 과학, 기술, 공학, 수학(STEM, science, technology, engineering, and mathematics)의 진흥에 관심을 갖고 있다. 팩트출판사(Packt Publication)에서 3권, 린펍(Leanpub)에서 6권, 에이프레스(Apress)에서 2권의 책을 출판했다. 또한 팩트출판사에서 출판한 4권의 책을 리뷰했다. 이 책은 에이프레스에서 출판하는 세 번째 책이며, 현재 몇 권의 책을 더 집필하고 있다.

Information Provided By: : Aladin

Table of Contents

Intro -- Contents at a Glance -- Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Single Board Computers and Raspberry Pi -- Single Board Computers (SBCs) -- Differences Between SBCs and Regular Computers -- System on Chip -- SoC vs. Regular CPU -- History of SBCs -- Popular SBC Families -- Raspberry Pi -- Raspberry Pi Setup -- Hardware required for Raspberry Pi setup -- Raspberry Pi -- Computer -- I/O Devices -- MicroSD card -- Power Supply -- SD/microSD Card Reader -- Monitor -- Manual Preparation of the MicroSD Card for Raspberry Pi -- Download the Required Free Software -- Download Accelerator Plus -- Win32DiskImager -- WinZip or WinRaR -- Download and Extract the Raspbian OS Image -- Writing the Raspbian OS Image to the MicroSD Card -- Altering the Contents of the config.txt File for VGA Monitors -- Booting up the Pi -- Configuring the Pi -- Raspbian -- config.txt -- Connecting Raspberry Pi to a Network and the Internet -- WiFi -- Ethernet -- Static IP address -- Dynamic IP address -- Updating the Pi -- Updating the Firmware -- Updating and Upgrading Raspbian -- Updating raspi-config -- Shutting Down and Restarting Pi -- Conclusion -- Chapter 2: Important Linux Commands and Remote Connectivity -- Important and Useful Linux Commands -- Getting Help with Linux Commands -- Network-related Commands -- ifconfig -- iwconfig -- iwlist wlan0 scan -- ping -- System Information Commands -- CPU-related Information -- Memory-related Information -- System and OS Version Information -- Partition-related Information -- Other Useful Commands -- Enabling Pi for SSH from raspi-config -- Connecting to the Raspberry Pi Remotely from Windows -- Checking the Connectivity with Pi from Another Computer -- PuTTY -- Accessing Raspberry Pi Desktop Remotely -- WinSCP -- Connecting to Raspberry Pi Using Linux or macOS -- Remote Login with SSH -- Forwarding Using SSH -- SCP for File Transfer -- Conclusion -- Chapter 3: Introduction to Python -- History of Python -- Features of Python -- Simple -- Easy to Learn -- Easy to Read -- Easy to Maintain -- Open Source -- High-level Language -- Portable -- Interpreted -- Object-Oriented -- Extensible -- Extensive Libraries -- Robust -- Rapid Prototyping -- Memory Management -- Powerful -- Community Support -- Python 3 -- The Differences Between Python 2 and Python 3 -- Why Use Python 3? -- Python 2 and Python 3 on Raspbian -- Running a Python Program and Python Modes -- Interactive Mode -- Normal Mode -- IDEs for Python -- IDLE -- Geany -- Conclusion -- Chapter 4: Introduction to Supercomputing -- Concept of the Supercomputer -- Brief history of Supercomputers -- Cluster -- Heterogenous Cluster -- Beowulf Cluster -- Parallelism and Concurrency -- Parallelism -- Concurrency -- Parallel Programming -- Conclusion -- Chapter 5: Message Passing Interface -- Message Passing Interface -- History and Evolution of the MPI Standard -- Features of MPI -- Implementations of MPI -- MPI4PY -- Why Use the Python, MPI, and MPI4PY Combination? -- Installing MPI4PY for Python3 on Raspbian -- Installing nmap -- Conclusion -- Chapter 6: Building the Supercomputer -- Making a Backup of the MicroSD card -- Preparing Nodes of the Supercomputer -- Networking the Pis -- LAN with DHCP -- WiFi Network -- LAN with Static IP Addresses -- Using nmap to Find the IP Addresses of Pis -- Running the hostname Command on Multiple Pis with mpirun -- Exchanging the ssh-keygen Keys for Automatic Authentication -- Organizing the Pis in the Cluster -- Conclusion -- Chapter 7: Overclocking Raspberry Pi -- Risks of Overclocking Raspberry Pi -- Installing a Heatsink on Pi -- Procuring Heatsinks -- Overclocking the Pi with raspi-config -- Overclocking the Pi with /boot/config.txt -- Options in /boot/config.txt -- /boot/config.txt Options for the Various Models of Pi -- Options for Pi B and Pi B+ -- Options for Pi 2 -- Options for Pi 3 -- Conclusion -- Chapter 8: Parallel Programming in Python 3 -- Basics of MPI4PY -- Getting Started with MPI4PY -- Conditional Statements -- Checking the Number of Processes -- Sending and Receiving Data -- Dynamically Sending and Receiving Data -- Data Tagging -- Data Broadcasting -- Data Scattering -- Data Gathering -- Conclusion -- Chapter 9: Introduction to SciPy Stack and Symbolic Programming -- The Scientific Python Stack -- Installation of the SciPy Stack -- SymPy -- Getting Started -- Symbols -- Converting Strings to SymPy Expressions -- Sympy’s Printing Functionality -- Simplification in SymPy -- Calculus -- Conclusion -- Chapter 10: Introduction to NumPy -- Basics of NumPy -- Jupyter -- Jupyter Notebooks -- The N-Dimensional Array (ndarray) -- ndarray Attributes -- Data Types -- Array Creation Routines -- Matrix and Linear Algebra -- Trigonometric Methods -- Random Numbers and Statistics -- Fourier Transforms -- Conclusion -- Chapter 11: Introduction to SciPy -- Scientific and Mathematical Constants in SciPy -- Linear algebra -- Integration -- Interpolation -- Conclusion -- Chapter 12: Signal Processing with SciPy -- Waveforms -- Window Functions -- Mexican Hat Wavelet -- Convolution -- Conclusion -- Chapter 13: Image Processing with SciPy -- First Image Processing Program -- Simple Image Processing -- Introduction to NumPy for Image Processing -- Matplotlib for Image Processing -- Image Channels -- Conclusion -- Chapter 14: Matplotlib -- Reading an Image -- Colormaps -- Colorbar -- Matplotlib for Image Processing -- Interpolation Methods -- Conclusion -- Summary of the Book -- Index -- .

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