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Concurrency: Mutual Exclusion and Synchronization

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Title: Concurrency: Mutual Exclusion and Synchronization


1
Concurrency Mutual Exclusion and Synchronization
  • Chapter 6

2
Concurrent Execution Effects
  • Concurrent processes (or threads) often need to
    share data (maintained either in shared memory or
    files) and resources
  • If there is no controlled access to shared data,
    some processes may get an inconsistent view of
    this data
  • The action performed by concurrent processes will
    then depend on the order in which their execution
    is interleaved

3
Concurrent Processes Another Example
  • Process P1 and P2 are running same procedure
  • Shared variable a
  • Processes can be preempted anytime
  • If P1 is first interrupted after user input and
    P2 executes entirely
  • Then the character echoed by P1 will be the one
    read by P2 !!

static char a void echo() cin gtgt a
cout ltlt a
4
Critical Section Problem
  • When a process executes code that manipulates
    shared data (or resource), we say that the
    process is in its critical section (CS) (for that
    shared data)
  • The execution of critical sections must be
    mutually exclusive
  • At any time, only one process is allowed to
    execute in its critical section (even with
    multiple CPUs)
  • Each process must then request permission to
    enter its critical section (CS)

5
Process General Structure
  • Repeat
  • Entry section
  • Critical section
  • Exit section
  • Remainder section
  • Until false

Examples - a control system that manipulates a
termostat - a process that controls the robot in
an automated factory floor - a control process in
a satellite
6
Critical Section Problem
  • To design a protocol that the processes can use
    to cooperate and safely access their critical
    section
  • What is a protocol?
  • Processes actions should not not depend on the
    order in which their execution is interleaved
  • Typically a symmetric solution is desirable

7
Critical Section Framework
  • Each process executes at nonzero speed but no
    assumption on the relative speed of the n
    processes
  • In a multiprocessor environment, memory hardware
    prevents simultaneous access to the same memory
    location
  • No assumptions about order of interleaved
    execution

8
CS Solution Requirements
  • Mutual Exclusion
  • At any time, at most one process can be in its
    CS
  • Progress
  • If no process is executing in its CS, while some
    processes wish to enter their CS, only processes
    that are not in their remainder section (RS) can
    participate in the decision of which will enter
    its CS next.
  • This selection cannot be postponed indefinitely

9
CS Solution Requirements
  • Bounded Waiting
  • There is a bound on the number of times that
    other processes are allowed to enter their CS,
    After a process has made a request to enter its
    CS and before the request is granted
  • This is required to make sure that no process
    suffers starvation
  • Is this condition sufficient to guarantee that
    there will be no startvation?

10
Solutions Types
  • Software solutions
  • Algorithms whose correctness does not rely on any
    other assumptions, beside those stated in the
    framework
  • Hardware solutions
  • Special machine instructions are provided
  • Operation system solutions
  • Special functions and data structures are
    provided to the programmer

11
Semaphores
  • OS supported, synchronization tools that do not
    require busy waiting
  • A semaphore S is an integer variable that, apart
    from initialization, can only be accessed through
    two atomic and mutually exclusive operations
  • wait(S) and signal(S) also P(S) and V(S)
  • A process that has to wait is put in a blocked
    queue
  • Queue of processes waiting on semaphore S

12
Semaphore Structure
type semaphore record count
integer queue list of
process end var S semaphore
  • When a process must wait for a semaphore S, it is
    blocked and put on the semaphores queue
  • The signal operation removes one process from the
    semaphore queue and adds it to the list of ready
    processes
  • FIFO, or other policies can be used to select
    next process

13
Semaphore Atomic Operations
wait(S) S.count-- if (S.countlt0)
block this process place this process in
S.queue
signal(S) S.count if (S.countlt0)
remove a process P from S.queue place this
process P on ready list
S.count must be initialized to a nonnegative
value, depending on application
14
Semaphores Properties
  • When S.count gt0, S.count represents the number
    of processes that can execute wait(S) without
    being blocked
  • When S.countlt0, S.count represents the number
    of processes waiting on S
  • Atomicity and mutual exclusion is achieved
  • No two process can completely execute wait() and
    signal() operations on the same semaphore at the
    same time, even with multiple CPUs
  • Hence, the blocks of code defining wait(S) and
    signal(S) are, in fact, critical sections

15
Semaphores Atomic Property
  • The critical sections defined by wait(S) and
    signal(S) are very short, around 10 instructions
  • Solutions
  • For uniprocessor, disable interrupts during these
    operations
  • This does not work on a multiprocessor machine.
  • For multiprocessors, use previous software or
    hardware schemes.
  • The amount of busy waiting should be small.

16
Semaphore-Based Solutions
  • Case of n processes
  • Initialize S.count to 1
  • Then only 1 process is allowed into CS (mutual
    exclusion)
  • To allow k processes into CS, initialize S.count
    to k

Process Pi repeat wait(S) CS signal(S)
RS forever
17
Semaphore-Based Synchronization
  • Proper synchronization is achieved as follows
  • P1
  • S1
  • signal(synch)
  • P2
  • wait(synch)
  • S2
  • We have 2 processes P1 and P2
  • Statement S1 in P1 needs to be performed before
    statement S2 in P2
  • Define a semaphore synch
  • Initialize synch to 0

18
The Producer/Consumer Problem
  • A common paradigm for cooperating processes
  • A producer process produces information that is
    consumed by a consumer process
  • Ex1 a print program produces characters that are
    consumed by a printer
  • Ex2 an assembler produces object modules that
    are consumed by a loader
  • We need a buffer to hold items that are produced
    and eventually consumed

19
P/C Unbounded Buffer
  • We assume first an unbounded buffer consisting
    of a linear array of elements
  • in points to the next item to be produced
  • out points to the next item to be consumed

20
P/C Unbounded Buffer
  • We need a semaphore S to perform mutual exclusion
    on the buffer
  • Only 1 process at a time can access the buffer
  • We need another semaphore N to synchronize
    producer and consumer on the number N ( in -
    out) of items in the buffer
  • An item can be consumed only after it has been
    created

21
P/C Unbounded Buffer
  • The producer is free to add an item into the
    buffer at any time
  • It performs wait(S) before appending and
    signal(S) afterwards to prevent customer access
  • It also performs signal(N) after each append to
    increment N
  • The consumer must first do wait(N) to see if
    there is an item to consume and use
    wait(S)/signal(S) to access the buffer

22
P/C Unbounded Buffer
Init S.count1 N.count0 inout0
Consumer repeat wait(N) wait(S)
wtake() signal(S) consume(w) forever
append(v) binv in
Producer repeat produce v wait(S)
append(v) signal(S) signal(N) forever
take() wbout out return w
23
P/C Unbounded Buffer
  • Observations
  • Putting signal(N) inside the CS of the producer
    (instead of outside) has no effect since the
    consumer must always wait for both semaphores
    before proceeding
  • The consumer must perform wait(N) before wait(S),
    otherwise deadlock occurs if consumer enter CS
    while the buffer is empty
  • Using semaphores is a difficult art...

24
P/C Finite Circular Buffer of Size k
  • Can consume only when the number N of consumable
    items is at least 1 (now N!in-out)
  • Can produce only when number E of empty spaces is
    at least 1

25
P/C Finite Circular Buffer of Size k
  • Similar to previous case
  • A semaphore S to have mutual exclusion on buffer
    access is needed
  • A semaphore N to synchronize producer and
    consumer on the number of consumable items is
    needed
  • In addition
  • A semaphore E to synchronize producer and
    consumer on the number of empty spaces is needed

26
P/C Finite Circular Buffer of Size k
Initialization S.count1in0 N.count0out
0E.countk
append(v) binv in(in1) mod k
Producer repeat produce v wait(E)
wait(S) append(v) signal(S)
signal(N) forever
Consumer repeat wait(N) wait(S)
wtake() signal(S) signal(E)
consume(w) forever
take() wbout out(out1) mod
k return w
critical sections
27
The Dining Philosophers A Classical
Synchronization Problem
  • It Illustrates the difficulty of allocating
    resources among process without deadlock and
    starvation
  • Five philosophers who only eat and think
  • Each needs to use 2 forks for eating
  • Only five forks are available

28
Dining Philosophers Problem
  • Each philosopher is a process
  • One semaphore per fork
  • fork array0..4 of semaphores
  • Initialization forki.count1 for i0..4
  • Deadlock if each philosopher starts by picking
    his left fork!

Process Pi repeat think wait(forki)
wait(forki1 mod 5) eat signal(forki1 mod
5) signal(forki) forever
29
Dining Philosophers Problem
  • A solution admit only 4 philosophers at a time
    that tries to eat
  • Then 1 philosopher can always eat when the other
    3 are holding 1 fork
  • Hence, we can use another semaphore T that would
    limit at 4 the numb. of philosophers sitting at
    the table
  • Initialize T.count4

Process Pi repeat think wait(T)
wait(forki) wait(forki1 mod 5) eat
signal(forki1 mod 5) signal(forki)
signal(T) forever
30
Binary Semaphores
  • The semaphores we have studied are called
    counting, or integer, semaphores
  • Binary semaphores
  • Similar to counting semaphores except that
    count is Boolean valued
  • Counting semaphores can be implemented by binary
    semaphores...
  • Generally, more difficult to use than counting
    semaphores (eg they cannot be initialized to an
    integer k gt 1)

31
Binary Semaphores
waitB(S) if (S.value 1) S.value
0 else block this process place
this process in S.queue
signalB(S) if (S.queue is empty) S.value
1 else remove a process P from
S.queue place this process P on ready list

32
Spinlocks
  • They are counting semaphores that use busy
    waiting (instead of blocking)
  • Useful on multi processors when critical sections
    last for a short time
  • A small amount of CPU time can be wasted, but no
    process switch

wait(S) S-- while Slt0 do signal(S)
S
33
Semaphores Critique
  • Semaphores provide a powerful tool for enforcing
    mutual exclusion and coordinate processes
  • The wait(S) and signal(S) operations can be
    scattered among several processes.
  • Hence, difficult to understand their effects
  • Usage must be correct in all the processes
  • One incorrect or malicious process can cause the
    rest of the processes to fail

34
Software solutions
  • Case of 2 processes
  • Algorithm 1, 2 and 3. Which are correct?
  • Algorithm 3 is correct (Petersons algorithm)
  • General case of n processes
  • Bakery algorithm
  • Notation
  • We start with 2 processes P0 and P1
  • When describing process Pi, Pj always denotes the
    other process (i ! j)

35
Algorithm 1
Process Pi Repeat while(turn!i) CS
turnj RS forever
36
Algorithm 1
  • The shared variable turn is initialized (to 0 or
    1) before executing any Pi
  • Pis critical section is executed iff turn i
  • Pi is busy waiting if Pj is in CS mutual
    exclusion is satisfied
  • Progress requirement is not satisfied since it
    requires strict alternation of CSs
  • Ex P0 has a large RS and P1 has a small RS. If
    turn0, P0 enters its CS and then its long RS
    (turn1). P1 enters its CS and then its RS
    (turn0) and tries again to enter its CS request
    refused! P1 has to wait that P0 leaves its RS.

37
Algorithm 1 Limitations
  • Algorithm 1 does not retain enough information
    about the state of each process
  • It remembers only which process is allowed to
    enter its CS
  • It does not allow a processes to enter its CS
    even when the other process is in its RS
  • It has to wait its turn

38
Algorithm 2
  • Keep a boolean var for each process flag0 and
    flag1
  • Pi signals that it is ready to enter its CS by
    flagitrue

Process Pi Repeat flagitrue
while(flagj) CS flagifalse
RS forever
39
Algorithm 2
  • Mutual Exclusion is satisfied but not the
    progress requirement
  • If we have the sequence
  • T0 flag0true
  • T1 flag1true
  • Both process will wait forever to enter their CS
  • A deadlock situation

40
Algorithm 3 Petersons Algorithm
  • Initialization
  • flag0flag1false
  • turn 0 or 1
  • Willingness to enter CS specified by
    flagitrue
  • If both processes attempt to enter their CS
    simultaneously, only one turn value will last
  • Exit section specifies that Pi is unwilling to
    enter CS

41
Petersons Algorithm
Process Pi repeat flagitrue turnj
do while (flagj and turnj) CS
flagi false RS forever
42
Proof of Correctness
  • Mutual exclusion is preserved since
  • P0 and P1 are both in CS only if flag0
    flag1 true and only if turn i for each Pi
    (impossible)
  • Progress and bounded waiting requirements are
    also satisfied
  • Pi cannot enter CS only when the while() loop
    condition Is flag j true and turn j.
  • If Pj is not ready to enter CS then flag j
    false and Pi can enter its CS

43
Proof of Correctness
  • If Pj has set flag jtrue and is in its
    while(), then either turni or turnj
  • If turni, then Pi enters CS. If turnj then Pj
    enters CS but will then reset flag jfalse on
    exit allowing Pi to enter CS
  • but if Pj has time to reset flag jtrue, it
    must also set turni
  • since Pi does not change value of turn while
    stuck in while(), Pi will enter CS after at most
    one CS entry by Pj (bounded waiting)

44
Process Failures?
  • If the ME, progress, and bounded waiting criteria
    are satisfied, then a valid solution provides
    robustness against failure of a process in its RS
  • Since failure in RS is just like having an
    infinitely long RS
  • However, no valid solution can provide robustness
    against process failure in its CS
  • A process Pi that fails in its CS does not signal
    that fact to other processes for them Pi is
    still in its CS

45
Bakery Algorithm n-process Case
  • Before entering their CS, each Pi receives a
    number.
  • Holder of smallest number enter CS (like in
    bakeries, ice-cream stores...)
  • When Pi and Pj receive same number
  • if iltj then Pi is served first, else Pj is served
    first
  • Pi resets its number to 0 in the exit section
  • Notation
  • (a,b) lt (c,d) if a lt c or if a c and b lt d
  • max(a0,...ak) is a number b such that
  • b gt ai for i0,..k

46
The bakery algorithm (cont.)
  • Shared data
  • Choosing array0..n-1 of boolean
  • initialized to false
  • Number array0..n-1 of integer
  • initialized to 0
  • Correctness relies on the following fact
  • If Pi is in CS and Pk has already chosen its
    numberk! 0, then (numberi,i) lt (numberk,k)

47
Bakery Algorithm
Process Pi Repeat choosingitrue
numberimax(number0..numbern-1)1
choosingifalse for j0 to n-1 do
while (choosingj) while (numberj!0
and (numberj,j)lt(numberi,i))
CS numberi0 RS forever
48
Software Solutions Drawbacks
  • Processes that are requesting to enter their
    critical sections are busy waiting
  • Wasteful of processor time
  • If CSs are long, it would be more efficient to
    block processes that are waiting... Just like
    what semaphores do!

49
Hardware Solutions Interrupt Disabling
  • On a uniprocessor mutual exclusion is preserved
    but efficiency of execution is degraded while in
    CS, we cannot interleave execution with other
    processes that are in RS
  • On a multiprocessor mutual exclusion is not
    preserved
  • How good a solution is this? Generally not an
    acceptable solution!!

Process Pi Repeat disable interrupts
critical section enable interrupts remainder
section forever
50
CS Hardware-Based Solutions
  • Hardware designers have proposed machines
    instructions that perform 2 actions atomically
    (indivisibly) on the same memory location
  • reading and writing
  • The execution of such an instruction is mutually
    exclusive, even with multiple CPUs
  • They can provide the basis for mutual exclusion
  • Algorithms for satisfying the 3 requirements of
    the CS problem are still needed

51
Test-and-Set Instruction
  • A C description of the ATOMIC test-and-set

bool testset(int i) if (i0) i1
return true else return false
52
ME using Test-and-Set Instruction
  • Shared variable b is initialized to 0
  • Only the first Pi who sets b enter CS

Process Pi Repeat repeat until
test-and-set(b) CS b0 RS forever
53
Test-and-Set Limitations
  • Mutual exclusion is preserved
  • But if Pi enter CS, other Pjs are busy waiting
  • Busy waiting is undesirable (a Bad Thing)
  • When Pi exits CS, the selection of the next Pj to
    enter CS is arbitrary
  • No bounded waiting starvation is possible
  • Processors, such as Pentium, often provide an
    atomic xchg(a,b) instruction that swaps the
    content of a and b. Also called swap()
  • xchg(a,b) suffers the same drawbacks as
    test-and-set

54
Using xchg for Mutual Exclusion
  • Shared variable b is initialized to 0
  • Each Pi has a local variable k
  • The only Pi that can enter CS is the one who
    finds b0
  • Pi excludes all other Pjs from their CSs by
    setting b to 1

Process Pi Repeat k1 repeat xchg(k,b)
until k0 CS b0 RS forever
55
BACK TO OS HELP Monitors
  • Monitors are high-level language constructs
  • They provide functionality that is equivalent to
    that of semaphores but are easier to control
  • Can be found in many concurrent programming
    languages
  • Concurrent Pascal, Modula-3, uC, Java...
  • Can be implemented by semaphores...

56
BACK TO OS HELP Monitors
  • A software module containing
  • One or more procedures
  • An initialization sequence
  • Local data variables
  • Characteristics
  • Local variables accessible only by monitors
    procedures
  • A process enters the monitor by invoking one of
    its procedures
  • Only one process can be in the monitor at any one
    time

57
Monitor
  • The monitor ensures mutual exclusion
  • No need to program this constraint explicitly
  • Shared data are protected by placing them in the
    monitor
  • The monitor locks the shared data on process
    entry
  • Process synchronization is achieved by the
    programmer by using condition variables
  • A process may have to wait for conditions to be
    true before executing in the monitor

58
Condition Variables
  • CVs are local to the monitor
  • Accessible only within the monitor
  • CVs can be accessed and changed only by two
    functions
  • cwait(a) blocks execution of the calling process
    on condition (variable) a
  • the process can resume execution only if another
    process executes csignal(a)
  • csignal(a) resumes execution of some process
    blocked on condition (variable) a.
  • If several such processes exist choose any one
  • If no such process exists do nothing

59
Monitor
  • Awaiting processes are either in the entrance
    queue or in a condition queue
  • A process puts itself into condition queue cn by
    issuing cwait(cn)
  • csignal(cn) brings into the monitor 1 process in
    condition cn queue
  • Hence, csignal(cn) blocks the calling process and
    puts it in the urgent queue (unless csignal is
    the last operation of the monitor procedure)

60
Unbounded P/C Problem
  • Two types of processes
  • producers
  • consumers
  • Synchronization is now confined within the
    monitor
  • append(.) and take(.) are procedures within the
    monitor they are the only means by which P/C can
    access the buffer
  • If these procedures are correct, synchronization
    will be correct for all participating processes

ProducerI repeat produce v
Append(v) forever ConsumerI repeat Take(v)
consume v forever
61
Monitor Bounded P/C Problem
  • Monitor needs to hold the buffer
  • buffer array0..k-1 of items
  • Two condition variables are needed
  • notfull csignal(notfull) indicates that the
    buffer is not full
  • notempty csignal(notempty) indicates that the
    buffer is not empty
  • Buffer pointers and counts are needed
  • nextin points to next item to be appended
  • nextout points to next item to be taken
  • count holds the number of items in buffer

62
Monitor Bounded P/C Problem
Monitor boundedbuffer buffer array0..k-1 of
items nextin0, nextout0, count0
integer notfull, notempty condition
Append(v) if (countk) cwait(notfull)
buffernextin v nextin nextin1 mod
kcount csignal(notempty) Take(v)
if (count0) cwait(notempty) v
buffernextout nextout nextout1 mod k
count-- csignal(notfull)
63
Conclusion
  • Critical section problem
  • Synchronization hardware
  • Semaphores
  • Classical synchronization problems
  • Monitors
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