Overview
The Race Checkpoint scenario simulates runners in a race who must all reach a checkpoint before any can continue to the finish line. This demonstrates the use of barriers for synchronizing multiple threads at a rendezvous point.Real-World Problem
Imagine a relay race or team challenge where:- Multiple runners start at different times
- All must reach a checkpoint before any can continue
- The slowest runner determines when everyone proceeds
- Once all arrive, everyone continues simultaneously to the finish
Shared Resources
The shared resource is a barrier object that tracks:
- Total number of expected participants
- Count of threads that have reached the barrier
- Whether all threads have synchronized
Synchronization Algorithm
This scenario uses a Barrier for rendezvous synchronization:Scenario Setup
raceBarrierScenario.js
Configuration Options
| Parameter | Description | Default |
|---|---|---|
racerCount | Number of racer threads | Minimum 1 |
The barrier must be initialized with the exact number of expected participants. If the count is wrong, threads may wait forever (if too high) or the barrier may release prematurely (if too low).
Example Execution Flow
Thread Instructions
Each racer thread executes:- RUN_STAGE (to-checkpoint) - Run from start to checkpoint at thread’s pace
- BARRIER_WAIT - Wait at checkpoint until all racers arrive
- RUN_STAGE (to-finish) - Run from checkpoint to finish line
- END - Complete the race
Barrier Properties
All-or-Nothing Synchronization
Reusability
Deadlock Risk
Use Cases
| Scenario | Description |
|---|---|
| Parallel Algorithms | Synchronize phases in parallel computation |
| Simulation | Ensure all actors complete a time step before advancing |
| Testing | Coordinate threads to trigger race conditions |
| Games | Wait for all players ready before starting match |
| Data Processing | Complete one stage before starting the next |
Comparison with Other Primitives
| Primitive | Purpose | Waiting |
|---|---|---|
| Mutex | Mutual exclusion | One thread proceeds |
| Semaphore | Resource counting | N threads proceed |
| Barrier | Rendezvous point | All threads wait, then all proceed |
| Condition Variable | Wait for condition | Selective wakeup |
Key Learning Points
- Rendezvous Synchronization: All threads meet at a common point
- Bulk Release: When the last thread arrives, all are released simultaneously
- No Priority: The slowest thread determines when everyone proceeds
- Phase Synchronization: Useful for multi-phase parallel algorithms
- Count Accuracy: Barrier count must match actual thread count