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Questions and Answers
What is a thread?
What is a thread?
What is a benefit of using threads in an application?
What is a benefit of using threads in an application?
Thread creation is heavier than process creation.
Thread creation is heavier than process creation.
False
What does Amdahl's Law identify?
What does Amdahl's Law identify?
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Which primary thread libraries are used for managing user threads?
Which primary thread libraries are used for managing user threads?
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What is the primary difference between User threads and Kernel threads?
What is the primary difference between User threads and Kernel threads?
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Match the multithreading model with its description:
Match the multithreading model with its description:
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Many-to-One threading model allows multiple threads to run in parallel on a multicore system.
Many-to-One threading model allows multiple threads to run in parallel on a multicore system.
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What does the Two-level Model allow that differs from Many-to-Many?
What does the Two-level Model allow that differs from Many-to-Many?
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Java threads may be created by either extending the ______ class or implementing the Runnable interface.
Java threads may be created by either extending the ______ class or implementing the Runnable interface.
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What does Implicit Threading involve?
What does Implicit Threading involve?
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What is the main advantage of using Thread Pools?
What is the main advantage of using Thread Pools?
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Study Notes
Chapter 4: Threads
- Threads: a fundamental unit of CPU utilization that forms the basis of multithreaded computer systems
Motivation
- Most modern applications are multithreaded, where multiple tasks within an application can be implemented by separate threads
- Examples of tasks: update display, fetch data, spell checking, answer a network request
- Process creation is heavy-weight, while thread creation is light-weight
- Kernels are generally multithreaded
Multithreaded Server Architecture
-
Benefits:
- Responsiveness: allows continued execution if part of process is blocked, especially important for user interfaces
- Resource Sharing: threads share resources of process, easier than shared memory or message passing
- Economy: cheaper than process creation, thread switching lower overhead than context switching
- Scalability: process can take advantage of multiprocessor architectures
Multicore Programming
-
Challenges:
- Dividing activities
- Balance
- Data splitting
- Data dependency
- Testing and debugging
- Parallelism: a system can perform more than one task simultaneously
- Concurrency: supports more than one task making progress, single processor/core, scheduler providing concurrency
Multicore Programming (Cont.)
-
Types of parallelism:
- Data parallelism: distributes subsets of the same data across multiple cores, same operation on each
- Task parallelism: distributing threads across cores, each thread performing unique operation
-
Architectural support for threading:
- CPUs have cores as well as hardware threads
- Consider Oracle SPARC T4 with 8 cores, and 8 hardware threads per core
Concurrency vs. Parallelism
- Concurrent execution: on a single-core system
- Parallelism: on a multi-core system
Single and Multithreaded Processes
- Single-threaded process: only one thread of execution
- Multithreaded process: multiple threads of execution
Amdahl's Law
- Identifies performance gains: from adding additional cores to an application that has both serial and parallel components
- S is serial portion: N processing cores
- Formula: Speedup = (1 - S) / (1 - S + S/N)
- Serial portion: has a disproportionate effect on performance gained by adding additional cores
User Threads and Kernel Threads
- User threads: management done by user-level threads library
-
Three primary thread libraries:
- POSIX Pthreads
- Windows threads
- Java threads
- Kernel threads: supported by the Kernel
-
Examples:
- Windows
- Solaris
- Linux
- Tru64 UNIX
- Mac OS X
Multithreading Models
- Many-to-One: many user-level threads mapped to single kernel thread
- One-to-One: each user-level thread maps to kernel thread
- Many-to-Many: many user-level threads mapped to many kernel threads
- Two-level Model: similar to many-to-many, except that it allows a user thread to be bound to kernel thread
Thread Libraries
- Provides programmer with API: for creating and managing threads
-
Two primary ways of implementing:
- Library entirely in user space
- Kernel-level library supported by the OS
Pthreads
- May be provided: either as user-level or kernel-level
- A POSIX standard: API for thread creation and synchronization
- Specification, not implementation: API specifies behavior of the thread library, implementation is up to development of the library
- Common in UNIX operating systems: Solaris, Linux, Mac OS X
Windows Multithreaded C Program
- Example of creating threads: using Windows API
Java Threads
- Managed by the JVM: typically implemented using the threads model provided by underlying OS
-
Java threads may be created by:
- Extending Thread class
- Implementing the Runnable interface
Implicit Threading
- Growing in popularity: as numbers of threads increase, program correctness more difficult with explicit threads
- Creation and management of threads: done by compilers and run-time libraries rather than programmers
-
Three methods explored:
- Thread Pools
- OpenMP
- Grand Central Dispatch
- Other methods: Microsoft Threading Building Blocks (TBB), java.util.concurrent package
Thread Pools
- Create a number of threads: in a pool where they await work
-
Advantages:
- Usually slightly faster to service a request with an existing thread than create a new thread
- Allows the number of threads in the application(s) to be bound to the size of the pool
- Separating task to be performed from mechanics of creating task allows different strategies for running task
OpenMP
- Set of compiler directives: and an API for C, C++, FORTRAN
- Provides support for parallel programming: in shared-memory environments
- Identifies parallel regions: blocks of code that can run in parallel
- Examples: #pragma omp parallel, #pragma omp parallel for
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Description
Learn about threads, a fundamental unit of CPU utilization, and how they form the basis of multithreaded computer systems. Understand the motivation behind multithreading and its benefits.