Concurrency and Synchronisation
Note: most of the points below are applicable to both threads AND processes. For brevity, only threads will be used.
Overview of the Problem
Situations where a result depends on the order of which threads run are known as a race condition.
int count = 0
void increment() {
int t = count;
t++;
count = t;
}
void decrement() {
int t = count;
t--;
count = t;
}
Can produce one of -1, 0, 1 depending on exact execution sequence.
Issue arises when a thread uses a global variable while a different thread is changing it.
Critical Regions
Overview of Critical Regions
Critical regions are sections of the program where shared memory is accessed. Key to solving concurrency problems is to ensure no two threads are in the critical region at the same time.
Requirements for Concurrency Solution
- No two threads may be simultaneously inside their critical regions.
- No assumptions made about speeds or number of CPUs.
- No thread running outside its critical region may block any thread.
- No thread should have to wait forever to entire its critical region.
Potential Mutual Exclusion Solutions
Lock variable
Enter when lock == 0
, wait otherwise.
Problem: consider the following execution sequence on two threads:
while (TRUE) {
while (TRUE) {
while (lock != 0);
while (lock != 0);
lock = 1;
lock = 1;
critical();
critical();
lock = 0;
non_critical();
lock = 0;
non_critical();
}
}
Here, thread 2 sees critical region is available and moves on. But before setting the lock, thread 1 runs and also sees critical region is available. Both threads enter the critical region at the same time.
Problem arises because the operation of reading the lock is separate to the operation of setting the lock; this is not an atomic operation.
Taking Turns
while (TRUE) {
while (turn != 0);
critical_region();
turn = 1;
noncritical_region();
}
while (TRUE) {
while (turn != 1);
critical_region();
turn = 0;
noncritical_region();
}
Solution works due to strict alternation, but has following problems:
- Busy waiting.
- Process must wait its turn even while the other process is doing something else.
- With many processes, must wait for everyone to have a turn.
- Does not guarantee progress if a process no longer needs a turn.
- Poor solution when processes require the critical section at differing rates.
- With many processes, must wait for everyone to have a turn.
Disabling Interrupts
Interrupts can be disabled before entering a critical region, and reenabled after leaving.
Pros:
- Simple
Cons:
- Only available in kernel.
- Blocks everybody else, even with no contention.
- Slows interrupt response time.
- Does not work on multiple processors.
Hardware Support
Test and set instruction is used to implement lock variables correct. Ensures process of reading and acquiring the lock happens in a single atomic operation.
Pros:
- Simple
- Available at user level.
- To any number of processors and any number of lock variables.
Cons:
- Busy waits.
- Consumes CPU.
- Starvation is possible when a process leaves its critical section and more than one process is waiting.
Overcoming Busy Waiting Problem
Busy Waiting Problem
Busy waiting is when a thread sits in a tight loop waiting for entry into a critical region. This approach has the problems:
- Wastes CPU time.
- …
Sleep/Wakeup Idea
- When process is waiting for an event, it calls sleep to block.
- The event happens, the event generator (another process) calls wakeup to unlock the sleeping process.
- Waking a ready/running process has no effect.
Semaphores
Overview
- If resource not available, corresponding semaphore blocks any process waiting for the resource.
- Blocked processes are put into a process queue maintained by the semaphore (avoids busy waiting).
- When a process releases a resource, it signals this by means of the semaphore.
- Signalling resumes a blocked process if there is any.
- Wait (P) and Signal (V) operations cannot be interrupted.
- Complex coordination can be implemented by multiple semapahores.
Implementation
typedef struct {
int count;
struct process *L;
} semaphore;
Assume two simple operations:
sleep
suspends the process that invokves it.wakup(P)
resumes the execution of a blocked processP
.
We now define the atomic sempahore operations as such:
wait(S) {
S.count--;
if (S.count < 0) {
// add this process to S.L
sleep;
}
}
signal(S) {
S.count++;
if (S.count <= 0) {
// remove a process P from S.L
wakeup(P);
}
}
Producer-Consumer (Bounded Buffer) Problem
Poducer produces data items and stores the items in a buffer. Consumer takes the items out of the buffer and consumes them.
We must keep current count of items in the buffer and:
- Producer:
- should sleep when buffer is full.
- wakeup when there is empty space in buffer.
- Consumer can call wakeup when it consumes first entry of full buffer.
- Consumer:
- should sleep when buffer is empty.
- wakeup when there are items available.
- Producer can call wakeup when it adds the first item to buffer.
Solving the Producer-Consumer Problem With Semaphores
#define N = 4
sempahore mutex = 1;
semaphore empty = N;
semaphore full = 0;
prod() { cons() {
while (TRUE) { while (TRUE) {
item = produce(); wait(full);
wait(empty); wait(mutex);
wait(mutex); remove_item();
insert_item(); signal(mutex);
signal(mutex); signal(empty);
signal(full);
} }
} }
Monitors
Overview
- Higher level synchronisation primitive.
- Programming language construct.
- Idea:
- Set of procedures and variables are grouped in a special kind of module, a monitor.
- Variables only accessed within the monitor.
- One one process/thread can be in the monitor at any one time.
- Mutual exclusion implemented by compiler.
- Set of procedures and variables are grouped in a special kind of module, a monitor.
Condition Variables
Overview
- Allow blocking while waiting for an event (and ensuring mutual exclusion).
- Typically used inside monitors.
- Mutex not needed for the critical region itself since it is implied by the monitor.
- Typically used inside monitors.
- Provides queue for threads waiting for a resource.
- Thread tests to see if resource is available.
- If available, use it.
- Otherwise, add itself to the wait queue.
- When a thread has finished with a resource, it wakes up exactly one thread from the queue.
- Does NOT keep track of an internal counter like a semaphore does.
Operations
wait
: add calling thread to queue and put it to sleep.signal
: remove a thread from the queue and wake it up.- Under Hansen model: calling process exits monitor immediately.
broadcast
: remove and wake-up all threads on the queue.