Viser: Foundations of Multithreaded, Parallel, and Distributed Programming

Foundations of Multithreaded, Parallel, and Distributed Programming

Foundations of Multithreaded, Parallel, and Distributed Programming

Gregory Andrews
(1999)
Sprog: Engelsk
Pearson Education
499,00 kr. 449,10 kr.
Bestil nu og få den leveret inden for 2-3 hverdage.

Detaljer om varen

  • Hardback: 688 sider
  • Udgiver: Pearson Education (November 1999)
  • ISBN: 9780201357523
Dette er en bogpakke, som indeholder disse bøger:
9780201357523 - Foundations of Multithreaded, Parallel, and Distributed Programming
9780201357523 - Foundations of Multithreaded, Parallel, and Distributed Programming
1. The Concurrent Computing Landscape. The Essence of Concurrent Programming. Hardware Architectures. Single Processor Machines. Shared-Memory Multiprocessors. Multicomputers Networks. Applications and Programming Styles. Iterative Parallelism: Matrix Multiplication. Recursive Parallelism: Adaptive Quadrature. Producers and Consumers: Unix Pipes. Clients and Servers: Remote Files. Peers: Distributed Matrix Multiplication. Summary of Programming Notation. Declarations Sequential Statements. Concurrent Statements and Process Declarations. Comments. I. SHARED VARIABLE PROGRAMMING.
2. Processes and Synchronization. States, Actions, Histories, and Properties. Parallelization: Finding Patterns in Files. Synchronization: The Maximum of an Array. Atomic Actions and Await Statements. Fine-Grained Atomicity. Specifying Synchronization: The Await Statement. Finding Patterns in a File Revisited. A Synopsis of Axiomatic Semantics. Formal Logical Systems. A Programming Logic. Semantics of Concurrent Execution. Techniques for Avoiding Interference. Disjoint Variables Weakened Assertions. Global Invariants. Synchronization. An Example: The Array Copy Problem Revisited. Safety and Liveness Properties. Proving Safety Properties. Scheduling Policies and Fairness.
3. Locks and Barriers. The Critical Section Problem. Critical Sections: Spin Locks. Test and Set. Test and Test and Set. Implementing Await Statements. Critical Sections: Fair Solutions. The Tie-Breaker Algorithm. The Ticket Algorithm. The Bakery Algorithm. Barrier Synchronization. Shared Counter. Flags and Coordinators. Symmetric Barriers. Data Parallel Algorithms. Parallel Prefix Computations. Operations on Linked Lists. Grid Computations: Laplace''s Equation. Synchronous Multiprocessors. Parallel Computing with a Bag of Tasks. Matrix Multiplication. Adaptive Quadrature.
4. Semaphores. Syntax and Semantics. Basic Problems and Techniques. Critical Sections: Mutual Exclusion. Barriers: Signaling Events. Producers and Consumers: Split Binary Semaphores. Bounded Buffers: Resource Counting. The Dining Philosophers. Readers and Writers. Readers/Writers as an Exclusion Problem. Readers/Writers Using Condition Synchronization. The Technique of Passing the Baton. Alternative Scheduling Policies. Resource Allocation and Scheduling. Problem Definition and General Solution Pattern. Shortest-Job-Next Allocation. Case Study: Pthreads. Thread Creation. Semaphores. Example: A Simple Producer and Consumer.
5. Monitors. Syntax and Semantics. Mutual Exclusion. Condition Variables. Signaling Disciplines. Additional Operations on Condition Variables. Synchronization Techniques. Bounded Buffers: Basic Condition Synchronization. Readers and Writers: Broadcast Signal. Shortest-Job-Next Allocation: Priority Wait. Interval Timer: Covering Conditions. The Sleeping Barber: Rendezvous. Disk Scheduling: Program Structures. Scheduler as a Separate Monitor. Scheduler as an Intermediary. Scheduler as a Nested Monitor. Case Study: Java. The Threads Class. Synchronized Methods. Parallel Readers/Writers. Exclusive Readers/Writers. True Readers/Writers. Case Study: Pthreads. Locks and Condition Variables. Example: Summing the Elements of a Matrix.
6. Implementations. A Single-Processor Kernel. A Multiprocessor Kernel. Implementing Semaphores in a Kernel. Implementing Monitors in a Kernel. Implementing Monitors Using Semaphores. II. DISTRIBUTED PROGRAMMING.
7. Message Passing. Asynchronous Message Passing. Filters: A Sorting Network. Clients and Servers. Active Monitors. A Self-Scheduling Disk Driver. File Servers: Conversational Continuity. Interacting Peers: Exchanging Values. Synchronous Message Passing. Case Study: CSP. Communication Statements. Guarded Communication. Example: The Sieve of Eratosthenes. Case Study: Linda. Tuple Space and Process Interaction. Example: Prime Numbers with a Bag of Tasks. Case Study: MPI. Basic Functions. Global Communication and Synchronization. Case Study: Java. Networks and Sockets. Example: A Remote File Reader.
8. RPC and Rendezvous. Remote Procedure Call. Synchronization in Modules. A Time Server Caches in a Distributed File System. A Sorting Network of Merge Filters. Interacting Peers: Exchanging Values. Rendezvous. Input Statements. Client/Server Examples. A Sorting Network of Merge Filters. Interacting Peers: Exchanging Value

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