Performance Optimization Guide

April 11, 2025 · View on GitHub

Memory Optimization

Garbage Collection

// Enable garbage collection with custom settings
runtime.enableGarbageCollection();
runtime.setGCOptions({
  interval: 10000,     // Run every 10 seconds
  threshold: 1000,     // Run when allocated > 1000
  aggressive: false    // Use conservative GC by default
});

Reference Management

// Use weak references for caches
const cache = new WeakMap<object, any>();

// Clean up subscriptions
const cleanup = stream.subscribe(value => {
  process(value);
});
// Later:
cleanup();

Memory Monitoring

function monitorMemory() {
  setInterval(() => {
    const usage = runtime.getMemoryUsage();
    if (usage.allocated > THRESHOLD) {
      runtime.runGarbageCollector();
    }
  }, 60000);
}

Concurrency Optimization

Actor Model

Optimize actor message processing:

const actor = runtime.createActor((msg, state) => {
  // Batch process messages when possible
  if (Array.isArray(msg)) {
    return msg.reduce((s, m) => processMessage(m, s), state);
  }
  return processMessage(msg, state);
}, initialState);

Parallel Execution

// Enable SIMD operations
runtime.enableParallelExecution();

// Process arrays in parallel
const result = await runtime.parallel(data, item => {
  return processItem(item);
});

Thread Pool

const pool = runtime.createThreadPool({
  minThreads: 4,
  maxThreads: 16,
  idleTimeout: 60000
});

await pool.submit(task);

Data Structure Optimization

Collections

Use appropriate collection types:

// Use Set for unique values
const uniqueItems = new Set<string>();

// Use Map for key-value pairs
const cache = new Map<string, object>();

// Use Array for ordered data
const sortedItems: number[] = [];

Lazy Evaluation

// Create lazy sequences
const lazySequence = Sequence.from(largeArray)
  .filter(x => x > 0)
  .map(x => x * 2)
  .take(10);

// Values are computed only when needed
for (const value of lazySequence) {
  console.log(value);
}

Reactive Optimization

Signal Batching

// Batch multiple signal updates
signal.batch(() => {
  signal.value = 1;
  signal.value = 2;
  signal.value = 3;
}); // Only triggers one update with value 3

Subscription Management

class Component {
  private subs = new Set<() => void>();

  subscribe(signal: Signal<any>) {
    const cleanup = signal.subscribe(value => {
      this.update(value);
    });
    this.subs.add(cleanup);
  }

  destroy() {
    this.subs.forEach(cleanup => cleanup());
    this.subs.clear();
  }
}

Network Optimization

Connection Pooling

const pool = Database.createPool({
  min: 5,
  max: 20,
  idleTimeout: 30000
});

Request Batching

const batcher = new RequestBatcher({
  maxSize: 100,
  maxDelay: 1000
});

batcher.add(request);

Profiling

CPU Profiling

runtime.startCPUProfile();
// ... code to profile ...
const profile = runtime.stopCPUProfile();
console.log(profile.hotspots);

Memory Profiling

runtime.startMemoryProfile();
// ... code to profile ...
const snapshot = runtime.takeMemorySnapshot();
console.log(snapshot.leaks);

Best Practices

Enable garbage collection for long-running applications
Use appropriate data structures for your use case
Implement proper cleanup for subscriptions and resources
Batch operations when possible
Monitor and profile performance in production
Use parallel execution for CPU-intensive tasks
Implement connection pooling for network operations
Use lazy evaluation for large data sets

Configuration Example

{
  "runtime": {
    "memory": {
      "gcEnabled": true,
      "gcInterval": 10000,
      "weakReferences": true
    },
    "execution": {
      "parallel": true,
      "simd": true,
      "threadPool": {
        "minThreads": 4,
        "maxThreads": 16
      }
    },
    "network": {
      "pooling": true,
      "batchRequests": true
    }
  }
}