[SOLVED] 代写代考 Concurrency and Parallelism

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Concurrency and Parallelism

Objectives
• Understand the concepts of concurrency and parallelism.

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• Understand the terms of critical section, mutual exclusion, race condition, deadlock, livelock, starvation
• Be aware of tools for enforcing mutual exclusions
• Be aware of the strategies for tackling deadlock:
prevention, avoidance and detection
• Understand the concept of threads and its benefits.
• Understand different thread implementations: user-level and kernel-level threads.
• Be aware of Flynn’s taxonomy and parallel computing
• Understand symmetrical multiprocessing (SMP)
• Understand Microkernel architecture

§ Stallings: Ch 4.1 – 4.3
§ Stallings: Ch 5.1 to 5.2
§ Stallings: Ch 6.1 to 6.4
§ Skim the rest of Ch 4, 5 and 6.

Concurrency
• Concurrency means more than one execution flow exists at the same time.
• These execution flows often share resources.
• In some systems, these execution flows share the same processor, thus they interleave with each other.
• In other systems they run on multiple processors, so they can run in parallel.

Benefit of Concurrency
• Concurrency allows more efficient use of resources – time, processor, memory, input and output devices etc.
• All modern operating systems are concurrent systems, as the operating system kernel and multiple processes exist at the same time.

Problems with Concurrency
• Race condition – two or more processes read and write shared data and the final results depend on the relative timing of the processes.
• Deadlock – two or more processes wait for each other and none can proceed any further.

Problems with Concurrency
• Starvation – a runnable process is indefinitely overlooked by the scheduler. Although it is able to proceed, but is never chosen.
• Livelock – two or more processes continuously change their states in response to changes in other processes without doing any useful work.

Difficulties of Concurrency • Sharing of global resources
• Operating system managing the allocation of resources optimally
• Difficult to locate programming errors

Race Condition – A Simple Example
Function echo and the two global variables chin and chout are shared by processes P1 and P2.
void echo() {
chin = getchar();
chout = chin;
putchar(chout);

Race Condition – A Simple Example
Process P1 Process P2 ..
chin = getchar();
chout = chin;
putchar(chout);
chin = getchar();
chout = chin;
putchar(chout);

Mutual Exclusion
• To avoid race conditions, we must enforce mutual exclusion in the critical sections of the processes
• Critical Section – a section of code within a process that requires access to shared resources which may not be executed while another process is in a corresponding section of code.
• Mutual Exclusion – only one process at a time is allowed in its critical section, e.g., only one process at a time is allowed to send command to the printer

Requirements for Mutual Exclusion
• Only one process at a time is allowed in the critical section for a resource
• A process that halts in its non-critical section must do so without interfering with other processes
• No deadlock or starvation

Requirements for Mutual Exclusion
• A process must not be delayed access to a critical section when there is no other process using it
• No assumptions are made about relative process speeds or number of processes
• A process remains inside its critical section for a finite time only

Mutual Exclusion: Hardware Support
• InterruptDisabling
– So the process is not interrupted by another process while
it is in its critical section
– This is dangerous if there is a bug in the code
• SpecialMachineInstructions – Test and Set instruction
– Exchange instruction

Mutual Exclusion: Semaphore
• Semaphores, such as binary semaphores, are often used in user processes to enforce mutual exclusions.
• Example: use a shared binary semaphore s:
use chin and cout V(s)
use chin and cout V(s)

• Permanent blocking of a set of processes that either compete for system resources or communicate with each other
• No efficient solution
• Involve conflicting needs for resources by two or
more processes
• Deadlocks are often the result of enforcing mutual exclusions when accessing shared resources.

Reusable Resources
• Used by only one process at a time and not depleted by that use
• Processes obtain resources that they later release for reuse by other processes
• Processors, I/O channels, main and secondary memory, devices, and data structures such as files, databases, and semaphores
• Deadlock occurs if each process holds one resource and requests the other

Example of Deadlock

Another Example of Deadlock
• Space is available for allocation of 200Kbytes, and the following sequence of events occur
Request 80 Kbytes; .. .
Request 60 Kbytes;
Request 70 Kbytes; .. .
Request 80 Kbytes;
• Deadlock occurs if both processes progress to their second request

Consumable Resources
• Created (produced) and destroyed (consumed)
• Interrupts, signals, messages, and information in I/O buffers
• Deadlock may occur if a Receive message is blocking
• May take a rare combination of events to cause deadlock

Example of Deadlock
• Deadlock occurs if receive is blocking
…… Receive(P2) …… Send(P2, M1)
……. Receive(P1) ……. Send(P1, M2)

Resource Allocation Graphs
• Directed graph that depicts a state of the system of resources and processes

Resource Allocation Graphs

Necessary Conditions for Deadlock
• For deadlock to occur, the following three conditions must exist:
– Mutual exclusion
• Only one process may use a resource at a time
– Hold-and-wait
• A process may hold allocated resources while awaiting
assignment of others – No preemption
• No resource can be forcibly removed from a process holding it 25

Necessary and Sufficient Conditions for Deadlock
• Circular wait – a closed chain of processes exists, such that each process holds at least one resource needed by the next process in the chain

Resource Allocation Graph

Deadlock Prevention • Mutual Exclusion
– not to enforce mutual exclusion, e.g., reading a shared file
– not always achievable • Hold and Wait
– Require a process request all of its required resources at one time

Deadlock Prevention
• No Preemption
– Process must release resource and request again
– Operating system may preempt a process to require it releases its resources
• Circular Wait
– Define a linear ordering of resource types

Deadlock Avoidance
• A decision is made dynamically on whether the current resource allocation request will, if granted, potentially lead to a deadlock
• Requires knowledge of future process request

Two Approaches to Deadlock Avoidance
• Do not start a process if its demands might lead to deadlock
• Do not grant an incremental resource request to a process if this allocation might lead to deadlock

The Banker’s Algorithm
• State of the system is the current allocation of resources to processes
• Safe state is where there is at least one sequence that does not result in deadlock
• Unsafe state is a state that is not safe

Strategies once Deadlock Detected
• Abort all deadlocked processes
• Back up each deadlocked process to some previously defined checkpoint, and restart all process
– Original deadlock may occur
• Successively abort deadlocked processes until
deadlock no longer exists
• Successively preempt resources until deadlock no longer exists

Starvation – Dining Philosophers Problem

UNIX Concurrency Mechanisms
• Messages
• Shared memory • Semaphores

Process vs Thread
• A traditional process has two functionalities:
– Resource ownership – process includes a virtual address space to hold the process image
– Scheduling/execution – follows an execution path that may be interleaved with other processes
• These two characteristics are treated independently by the operating system

Process vs Thread
• Scheduling and execution is referred to as a thread
• Resource ownership is referred to as a process or task

Multithreading
• Operating system supports multiple threads of execution within a single process
• MS-DOSsupportsasinglethread
• TraditionalUNIXsupportsmultipleuserprocesses
but only supports one thread per process
• Windows, Solaris, Linux, Mach, and OS/2 and Darwin (macOS) support multiple threads

• Have a virtual address space which holds the process image
• Protected access to processors, other processes, files, and I/O resources

• An execution state (running, ready, etc.)
• Saved thread context when not running
• Has an execution stack
• Some per-thread static storage for local variables
• Access to the memory and resources of its process
– all threads of a process share this

Benefits of Threads
• Takes less time to create a new thread than a process
• Less time to terminate a thread than a process
• Less time to switch between two threads within the same process
• Since threads within the same process share memory and files, they can communicate with each other without invoking the kernel

• Suspending a process involves suspending all threads of the process since all threads share the same address space
• Termination of a process, terminates all threads within the process

Thread States
• States associated with a change in thread state
• Spawn another thread
• Deallocate register context and stacks

Example – Remote Procedure Call Using Single Thread
§ The process has to wait two different servers sequentially, thus taking longer to complete.

Example: Remote Procedure Call Using Threads

Multithreading

User-Level Threads
• All thread management is done by the application
• The kernel is not aware of the existence of threads

User-Level Threads

Kernel-Level Threads
• Windows is an example of this approach
• Kernel maintains context information for the process and the threads
• Scheduling is done on a thread basis

Kernel-Level Threads

Combined Approaches
• Example is Solaris
• Thread creation done in the user space
• Bulk of scheduling and synchronization of threads within application

Combined Approaches

Relationship Between Threads and Processes

Categories of Computer Systems – Flynn’s taxonomy
• Single Instruction Single Data (SISD) stream
– Single processor executes a single instruction stream to operate on data stored in a single memory
• Single Instruction Multiple Data (SIMD) stream
– Each instruction is executed on a different set of data by the different processors

Categories of Computer Systems – Flynn’s Taxonomy
• Multiple Instruction Single Data (MISD) stream
– A sequence of data is transmitted to a set of processors, each of which executes a different instruction sequence. Never implemented
• Multiple Instruction Multiple Data (MIMD)
– A set of processors simultaneously execute different instruction sequences on different data sets

Symmetric Multiprocessing (SMP)
• Kernel can execute on any processor
• Typically, each processor does self- scheduling from the pool of available process or threads

Parallel Computing
• Parallel Computing – Use multiple processors
to solve one task.
• Need to split the program into multiple parts that can run on multiple processors in parallel.
• The main aim is to shorten the execution time.

Multiprocessor Operating System Design Considerations
• Simultaneous concurrent processes or threads
• Scheduling
• Synchronization
• Memory management
• Reliability and fault tolerance

Microkernels
• Small operating system core
• Contains only essential core operating systems functions
• Many services traditionally included in the operating system are now external subsystems
– Device drivers
– File systems
– Virtual memory manager – Windowing system
– Security services

Benefits of a Microkernel Organization
• Uniform interface on request made by a process
– Don’t distinguish between kernel-level and user-level
– All services are provided by means of message passing
• Extensibility
– Allows the addition of new services
• Flexibility
– New features added
– Existing features can be subtracted

Benefits of a Microkernel Organization
• Portability
– Changes needed to port the system to a new processor is changed in the microkernel – not in the other services
• Reliability
– Modular design
– Small microkernel can be rigorously tested

Benefits of Microkernel Organization
• Distributed system support
– Message are sent without knowing what the
target machine is
• Object-oriented operating system
– Components are objects with clearly defined interfaces that can be interconnected to form software

Microkernel: Examples
• Windows 2000, XP etc
• Mac OS X (darwin)
• Linux is a notable exception

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[SOLVED] 代写代考 Concurrency and Parallelism
30 $