An operating system (OS) is an important component of most computer systems. At a minimum, the OS is responsible for managing tasks and resources. This becomes more challenging in a multicore environment, where multiple tasks can execute concurrently and must vie for shared resources. So the OS configuration is a critical consideration when building a multicore system. This chapter describes the different ways one or more OSes can be instantiated in multicore systems, along with many of the more critical controls that architects and programmers have for customizing the behavior of the OS. Included is a discussion of some of the debugging tools that are often shipped with OSes.
Kindle book details: Kindle Edition, 42 pages
The promise and challenges of multicore arise out of the concept of concurrency. Without concurrency, multicore is no better than a single core. The implications of concurrency both for faster program execution and for mind-numbing debugging are at the same time profound and subtle. Because everything that’s important about multicore relates to concurrency, this chapter tackles the topic at a high level. It presents some of the obvious aspects of attempts to run multiple tasks at the same time, but also introduces the many complications and difficulties that accompany thel benefits.
Kindle book details: Kindle Edition, 36 pages
This chapter will introduce the concepts of multicore related issues, while the subsequent chapters will go into further details. We will start with a general analysis of how electronic design trends lead to multicore hardware-software architectures as the only viable solution addressing consumer requirements on cost, performance and power. We will then categorize multicore architecture concepts by processing and communication requirements and show how different processing techniques combine to form multicore architectures that address the specific needs of different application domains. Special attention will be given to the programmability of the different hardware architectures and the impact that hardware has on software. We will close the chapter with a brief review of existing hardware architectures available on the market, as well as a brief discussion about programming models capable of expressing parallel functionality, which can then be mapped into multiple processor cores.
Kindle book details: Kindle Edition, 41 pages
Published by: Sams Publishing | Publication date: 07/17/2015Kindle book details: Kindle Edition, 832 pages
Essential Code and Commands Java Phrasebook gives you the code phrases you need to quickly and effectively complete your programming projects in Java. Concise and Accessible Easy to carry and easy to use—lets you ditch all those bulky books for one portable guide Flexible and Functional Packed with more than 100 customizable code snippets—so you can readily code functional Java in just about any situation Timothy Fisher has been working professionally in the Java software development field since 1997 and is currently a consultant for the Compuware Corporation in Detroit, Michigan. He enjoys writing about technology and has been a contributor to Java Developer’s Journal and XML Journal. Tim is also passionate about education and the use of advanced Internet technologies for education. Programming / Java
Published by: Sams Publishing | Publication date: 11/06/2006Kindle book details: Kindle Edition, 224 pages
Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today’s data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline. Author Michael Brzustowicz explains the basic math theory behind each step of the data science process, as well as how to apply these concepts with Java.You’ll learn the critical roles that data IO, linear algebra, statistics, data operations, learning and prediction, and Hadoop MapReduce play in the process. Throughout this book, you’ll find code examples you can use in your applications.
- Examine methods for obtaining, cleaning, and arranging data into its purest form
- Understand the matrix structure that your data should take
- Learn basic concepts for testing the origin and validity of data
- Transform your data into stable and usable numerical values
- Understand supervised and unsupervised learning algorithms, and methods for evaluating their success
- Get up and running with MapReduce, using customized components suitable for data science algorithms
Published by: O'Reilly Media | Publication date: 06/06/2017Kindle book details: Kindle Edition, 236 pages
Publication date: 08/15/2017Kindle book details: Kindle Edition, 183 pages
Beginning Java 8 APIs, Extensions and Libraries completes the Apress Java learning journey and is a comprehensive approach to learning the Java Swing, JavaFX, Java Scripting, JDBC and network programming APIs.This book covers the key extensions of the Java programming language such as Swing, JavaFX, network programming, and JDBC. Each topic starts with a discussion of the topic's background. A step-by-step process, with small snippets of Java code, provides easy-to-follow instructions. At the end of a topic, a complete and ready-to-run Java program is provided. This book contains over 130 images and diagrams to help you visualize and better understand the topics. More than 130 complete programs allow you to practice and quickly learn the topics.The Swing chapters discuss various aspects of working with a GUI, from the very basic concepts of developing a Swing application, to the most advanced topics, such as decorating a Swing component with a JLayer, drag-and-drop features, Synth Skinnable L&F, etc. The chapter on network programming covers the basics of network technologies first, and then, the advanced topics of network programming, using a Java class library. It covers IPv4 and IPv6, addressing schemes, subnetting, supernetting, multicasting, TCP/IP sockets, UPD sockets, asynchronous socket I/O, etc.The chapter on JDBC provides the details of connecting and working with databases such as Oracle, SQL Server, MySQL, DB2, Java DB (Apache Derby), Sybase, Adaptive Server Anywhere, etc. It contains a complete discussion on processing a ResultSet and a RowSet. It discusses how to use the RowSetFactory, to obtain a RowSet object of a specific type. Working with Large Objects (LOBs), such as Blob, Clob, and NClob, is covered in detail with Java code examples and database scripts.
Published by: Apress | Publication date: 09/22/2014Kindle book details: Kindle Edition, 799 pages
With more than 150 detailed recipes, this cookbook shows experienced Clojure developers how to solve a variety of programming tasks with this JVM language. The solutions cover everything from building dynamic websites and working with databases to network communication, cloud computing, and advanced testing strategies. And more than 60 of the world’s best Clojurians contributed recipes.Each recipe includes code that you can use right away, along with a discussion on how and why the solution works, so you can adapt these patterns, approaches, and techniques to situations not specifically covered in this cookbook.
- Master built-in primitive and composite data structures
- Create, develop and publish libraries, using the Leiningen tool
- Interact with the local computer that’s running your application
- Manage network communication protocols and libraries
- Use techniques for connecting to and using a variety of databases
- Build and maintain dynamic websites, using the Ring HTTP server library
- Tackle application tasks such as packaging, distributing, profiling, and logging
- Take on cloud computing and heavyweight distributed data crunching
- Dive into unit, integration, simulation, and property-based testing
Published by: O'Reilly Media | Publication date: 03/05/2014Kindle book details: Kindle Edition, 476 pages
This book will teach you everything you need to know to create compelling graphics on Android. You’ll learn the basics of OpenGL by building a simple game of air hockey, and along the way, you’ll see how to initialize OpenGL and program the graphics pipeline using shaders. Each lesson builds upon the one before it, as you add colors, shading, 3D projections, touch interaction, and more. Then, you’ll find out how to turn your idea into a live wallpaper that can run on the home screen. You’ll learn about more advanced effects involving particles, lighting models, and the depth buffer. You’ll understand what to look for when debugging your program, and what to watch out for when deploying to the market. OpenGL can be somewhat of a dark art to the uninitiated. As you read this book, you’ll learn each new concept from first principles. You won’t just learn about a feature; you’ll also understand how it works, and why it works the way it does. Everything you learn is forward-compatible with the just-released OpenGL ES 3, and you can even apply these techniques to other platforms, such as iOS or HTML5 WebGL. What You Need Preferably an Android phone or tablet that supports OpenGL ES 2. Top Five OpenGL ES Tips 1) Avoid expensive operations on the UI and rendering threads. To avoid frame rate stutters or the dreaded “Application not responding” dialog from appearing, expensive operations should be run asynchronously in a background thread. This is especially important when it comes to the rendering thread, as rendering at 30 frames per second means that each frame has to complete in about 33 milliseconds to avoid frame stutters. Garbage collection is an expensive operation that happens non-deterministically and can cause rendering stalls, so to avoid this, youâ€™ll also want to minimize object allocation during a frame to reduce pressure on the garbage collector. You may even see benefits to doing a manual GC at certain points in the application. 2) Do expensive texture and shader loads during intermissions. Some expensive operations need to be done on the rendering thread, such as texture loads and shader compilations. These operations can cause noticeable stuttering if they happen in the middle of rendering, so to avoid this, preload these resources at opportune times, such as when the game / application is loaded, or at the beginning of each level. 3) Take advantage of the libraries out there. There are many libraries out there that support OpenGL ES 2.0 development without boxing you into a framework or a closed-source middleware solution. Libgdx is one of these libraries, and by using a library like libgdx, you can more easily port your code to other platforms, as well as take advantage of the library’s math classes and asset loading management. 4) Read the documentation The OpenGL specs and manuals are available for free from Khronos.org. Each GPU vendor also shares a wealth of free information on how to use their GPUs, and as you read the documentation, you’ll find that they generally share a lot of advice in common, such as "minimize state switches" and "avoid discard in a fragment shader." Reading these documents and specs will give you a lot more insight into how the GPUs work at a lower level, and will help you understand what the pitfalls are, and how to avoid premature pessimization when writing your OpenGL code. 5) Focus on what will impress the end user Sometimes it’s easy to lose sight of the end goal, and to become focused on optimizing areas that won’t make much of a difference to the end user. Does it matter if we get this shader to execute 2% faster? Or will we make much more of a visual impact by finding a better artist? Find out what the most important areas are, and then focus on improving those first.
Published by: Pragmatic Bookshelf | Publication date: 06/26/2013Kindle book details: Kindle Edition, 346 pages