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دسته بندی: الگوریتم ها و ساختارهای داده ویرایش: 1st نویسندگان: Thomas W. Christopher, George K. Thiruvathukal سری: ISBN (شابک) : 0130161640, 9780130161642 ناشر: Prentice Hall PTR سال نشر: 2000 تعداد صفحات: 421 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 12 مگابایت
در صورت تبدیل فایل کتاب High-Performance Java Platform Computing: Multithreaded and Networked Programming به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب محاسبات با عملکرد بالا Java Platform: برنامه نویسی چند رشته ای و شبکه ای نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Threading and concurrency are crucial to building high-performance Java applications -- but they have a reputation for complexity. High Performance Java Computing thoroughly demystifies these advanced development techniques. It delivers practical programming solutions, proven design patterns, and a rigorously-tested code library -- everything developers need to build optimized Java software for technical, business, and E-commerce applications. Start by understanding how threading and concurrency can be used to solve a wide variety of performance problems, enabling the construction of more powerful networked applications. Master the Java 2 Threads classes, including daemon threads, thread control, scheduling, and more. Review the key problems of parallelism -- including deadlocks, race conditions, and synchronization -- and discover proven techniques for avoiding or resolving them. Finally, master advanced techniques for building optimized concurrent code, including Java monitors, parallel execution of subroutines in shared memory, and parallelizing loops. Table of Contents Cover Contents Chapter 1: Foundations The von Neumann Machine Flynn's Taxonomy Control-Memory Taxonomy Speedup and Efficiency Amdahl's Law Scalability Problems of Parallelism Grain Size Starvation Deadlock Flooding and Throttling Layout Latency Scheduling Programming Techniques Chapter Wrap-up Exercises Chapter 2: Threads Why is Multithreading Useful? Overview of the Java Threads Classes Thread: The Class Responsible for Thread Creation and Execution Runnable: Making Threads Without Extending the Thread Class Hello World: A First Example of Multithreading Implementing Interfaces and Extending Classes: What's the Deal? Concepts A Little Bit of History Some Definitions Multiprogramming vs. Multitasking o Java Support for Multiprogramming Concurrency vs. Parallelism vs. Distribution Threads vs. Processes o Unix Processes Kernel-level vs. User-level Threads Quick Tour of Java Threads Functions Construction Daemon Threads Thread Control Very Useful Static Methods Thread Synchronization Cooperative Multitasking Prioritized Scheduling Miscellaneous Status Methods Methods Not Covered Here Exercises Chapter 3: Race Conditions and Mutual Exclusion Know Your Enemy! Race Conditions Egoist: A First Study in Race Conditions A Word on Priorities What is a Race Condition? Race0 Class Critical Sections and Object Locking Race1 Class--Fixing Race0 with Synchronization Conditions Motivating the Need for Conditions Key Object Methods Needed to Work with Conditions in Java File Copying: A Producer-Consumer Example Locks-Binary Semaphores: An Example of Using Conditions Race2: Reworked Race1 Using Locks Classic Synchronization Mechanisms Counting Semaphore Barrier Futures Deadlock What is Deadlock? How to Know When Deadlock Has Hit You? Four Conditions of Deadlock A Classic Example: Dining Philosophers Chapter Wrap-up Exercises Chapter 4: Monitors Real Monitors and Java Monitors Shared Classes Explicit Queues Overall Class Monitor in the Thread Package Monitor's Methods Interface MonitorCondition's Methods Interface MonitorLock Examples using Monitor Objects SimpleFuture SharedTableOfQueues Implementation of Monitor, Condition, and MonitorLock Monitor Entry and Exit Monitor.Condition Monitor.Lock The Multiple Reader-Writer Monitors Policies Entering and Leaving the Critical Sections The Single-Reader-Writer Monitor The Readers-Preferred Monitor The Writers-Preferred Monitor The Alternating Readers-Writers Monitor The Take-a-Number Monitor Chapter Wrap-up Exercises Chapter 5: Parallel Execution of Subroutines in Shared Memory Creating and Joining Example: Trapezoidal Numeric Integration o Principles o Interface o Code o Discussion RunQueue RunQueue Methods o Managing the created threads o Termination o Adjusting maxThreadsCreated o Adjusting maxThreadsWaiting o Adjusting waitTime RunQueue Implementation o Fields o Xeqthreads o Enqueueing Runnables o Dequeueing Runnables Recursive Shell Sort: RunQueues and SimpleFutures ShellsortDC ShellsortDC Sort class Accumulator Accumulator Operations Patterns of Use of Accumulators o Awaiting completion o And or Or o Associative, commutative operations o Shared data structures Using Accumulators Numeric Integration TerminationGroup Combinatorial Search The 0-1 Knapsack Problem Parallel Depth-first Search for the Knapsack Problem Knapsack2 o Constructor o Method gen() o The Search class o Methods getSelected() and getProfit() PriorityRunQueue Branch-and-Bound with Priority Run Queues Branch and Bound for 0-1 Knapsack o Class Search o Class SearchFactory o Constructor A Purer Branch-and-Bound 0-1 Knapsack Chapter Wrap-up Exercises Chapter 6: Parallelizing Loops Chore Graphs Gathering Chores into Threads Example: Warshall's Algorithm Static Scheduling Dynamic Scheduling Example: Longest Common Subsequence Example: Shell Sort ShellsortBarrier class Class Sort Performance Chapter Wrap-up Exercises Chapter 7: Chores The RunDelayed Interface Futures FutureFactory Chore-programming Techniques Job Jars Chore Graphs Macro Dataflow o Macro dataflow chore graphs o Chore constructors o Fetching operands Flow of Control o Changing run queues o Switch statement o Create a continuation object o Create a local continuation object Macro Dataflow Examples: Vector Addition Continuations to Separate Operand Fetch from Operation Static Dataflow Style and Storing Operands in Instructions Fetching in continuations Chore Examples: Warshall's Algorithm WarshallDF1 and Warshall's Algorithm in Dataflow WarshallC1 through WarshallC3: Chores, But not Dataflow o WarshallC1 o WarshallC2 o WarshallC3 Chapter Wrap-up Exercises Chapter 8: Thread and Chore Synchronization TerminationGroup Barrier BarrierFactory AccumulatorFactory Parallel Quicksort Method sort() QuickSortThread2 Method quicksort() Shell Sort Chapter Wrap-up Chapter 9: Shared Tables of Queues Shared Tables of Queues Methods Implementing Synchronizations Using a Shared Table of Queues Named Futures Named, Locked Records Named Locks Named Semaphores Named Queues Indexed Keys Implementing More Synchronizations and Shared Structures Bounded buffers I-structures Barriers Reactive Objects Communicating through a Shared Table of Queues closure Block Performance Future Queues Methods Implementation of FutureQueue o Desired behavior o States of the future queue Example of FutureQueue: The Queued Readers-Writers Monitor o State of the monitor Future Tables Chapter Wrap-up Exercises Chapter 10: Streams Essentials The Streams Abstraction Building Your Own Stream Caesar Cipher: Very Basic Encryption Chapter Wrap-Up Exercises Chapter 11: Networking Exploring the Client Side Services: The Internet Story Destination Sendmail Java Networking: Socket and InetAddress Java packages used The use of OOP to create the GUI The constructor Layouts Event handling Sending mail: the final frontier Where are The Services? A Kind and Gentle Introduction to the Server Side Iterative Servers Simple Messaging Architecture The Message Class DateService and DateClient SMA Style Chapter Wrap-Up Exercises Chapter 12: Coordination Generic Mailbox Invocations GMI: Goals and Design Overview Callable: An Interface for Accepting Communication CallMessage: An Abstract Class for Marshalling and Unmarshalling! RemoteCallServer RemoteCallServerDispatcher RemoteCallClient Memo: A Remote Interface to SharedTableOfQueues Design MemoServer MemoClient Vector Inner Product Trapezoidal Integration Warshall's Algorithm Chapter Wrap-up Exercises Index