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Performance Optimization
LoSkroefie edited this page Jan 19, 2025
·
1 revision
This guide provides comprehensive information about optimizing FLEXON's performance in various scenarios.
public class BufferManager
{
private readonly ArrayPool<byte> _arrayPool;
private readonly ObjectPool<FlexonWriter> _writerPool;
private readonly ObjectPool<FlexonReader> _readerPool;
public BufferManager()
{
_arrayPool = ArrayPool<byte>.Shared;
_writerPool = ObjectPool<FlexonWriter>.Create();
_readerPool = ObjectPool<FlexonReader>.Create();
}
public async Task ProcessData<T>(T data)
{
var buffer = _arrayPool.Rent(8192);
try
{
var writer = _writerPool.Get();
try
{
writer.Reset(buffer);
writer.WriteValue(data);
await ProcessBuffer(buffer);
}
finally
{
_writerPool.Return(writer);
}
}
finally
{
_arrayPool.Return(buffer);
}
}
}public class ZeroCopyProcessor
{
private readonly IFlexonSerializer _serializer;
public void ProcessLargeData(ReadOnlySpan<byte> data)
{
var reader = new FlexonReader(data);
while (!reader.EndOfData)
{
var item = reader.ReadValue<DataItem>();
ProcessItem(item);
}
}
public void WriteData<T>(T data, Span<byte> buffer)
{
var writer = new FlexonWriter(buffer);
writer.WriteValue(data);
}
}public class MemoryMonitor
{
private readonly PerformanceCounter _memoryCounter;
private readonly long _memoryThreshold;
public async Task<bool> CheckMemoryUsage()
{
var currentUsage = _memoryCounter.NextValue();
if (currentUsage > _memoryThreshold)
{
await TriggerGarbageCollection();
return false;
}
return true;
}
public async Task MonitorOperation(Func<Task> operation)
{
var before = GC.GetTotalMemory(false);
await operation();
var after = GC.GetTotalMemory(false);
LogMemoryUsage(after - before);
}
}public class VectorProcessor
{
public void ProcessVectors(Span<Vector3> vectors)
{
if (Vector.IsHardwareAccelerated)
{
ProcessVectorsSimd(vectors);
}
else
{
ProcessVectorsScalar(vectors);
}
}
private void ProcessVectorsSimd(Span<Vector3> vectors)
{
var vectorCount = vectors.Length / 4;
for (int i = 0; i < vectorCount; i++)
{
ref var v = ref Unsafe.As<Vector3, Vector<float>>(
ref vectors[i * 4]);
v = Vector.Multiply(v, new Vector<float>(2.0f));
}
}
}public class BatchProcessor
{
private readonly int _batchSize;
private readonly IFlexonSerializer _serializer;
public async Task ProcessItems<T>(IEnumerable<T> items)
{
var options = new FlexonOptions { EnableSimd = true };
foreach (var batch in items.Chunk(_batchSize))
{
var binary = _serializer.Serialize(batch, options);
await ProcessBatch(binary);
}
}
}public class ParallelProcessor
{
private readonly ParallelOptions _options;
private readonly IFlexonSerializer _serializer;
public async Task ProcessDataParallel<T>(IEnumerable<T> items)
{
var partitioner = Partitioner.Create(items);
await Parallel.ForEachAsync(
partitioner,
_options,
async (partition, ct) =>
{
foreach (var item in partition)
{
await ProcessItem(item, ct);
}
});
}
}public class ThreadPoolConfig
{
public static void OptimizeThreadPool()
{
ThreadPool.GetMinThreads(out int workerThreads, out int completionPortThreads);
// Increase minimum threads based on processor count
int newWorkerThreads = Environment.ProcessorCount * 2;
int newCompletionPortThreads = Environment.ProcessorCount * 2;
ThreadPool.SetMinThreads(newWorkerThreads, newCompletionPortThreads);
}
public static async Task MonitorThreadPool()
{
while (true)
{
ThreadPool.GetAvailableThreads(out int workerThreads, out int completionPortThreads);
LogThreadPoolStats(workerThreads, completionPortThreads);
await Task.Delay(1000);
}
}
}public class AsyncIOManager
{
private readonly IFlexonSerializer _serializer;
public async Task ProcessFile(string path)
{
using var fileStream = new FileStream(
path,
FileMode.Open,
FileAccess.Read,
FileShare.Read,
bufferSize: 4096,
useAsync: true);
var reader = new FlexonStreamReader(fileStream);
await foreach (var item in reader.ReadAsync<DataItem>())
{
await ProcessItem(item);
}
}
}public class MemoryMappedManager
{
public async Task ProcessLargeFile(string path)
{
using var mmf = MemoryMappedFile.CreateFromFile(path);
using var accessor = mmf.CreateViewAccessor();
unsafe
{
byte* ptr = null;
accessor.SafeMemoryMappedViewHandle.AcquirePointer(ref ptr);
try
{
var span = new Span<byte>(ptr, (int)accessor.Capacity);
ProcessData(span);
}
finally
{
accessor.SafeMemoryMappedViewHandle.ReleasePointer();
}
}
}
}public class ConnectionPool
{
private readonly ConcurrentQueue<NetworkConnection> _pool;
private readonly SemaphoreSlim _poolSemaphore;
public async Task<NetworkConnection> GetConnection()
{
await _poolSemaphore.WaitAsync();
try
{
if (_pool.TryDequeue(out var connection))
{
return connection;
}
return CreateNewConnection();
}
finally
{
_poolSemaphore.Release();
}
}
public void ReturnConnection(NetworkConnection connection)
{
if (connection.IsHealthy)
{
_pool.Enqueue(connection);
}
else
{
connection.Dispose();
}
}
}public class NetworkCompression
{
private readonly IFlexonSerializer _serializer;
public byte[] CompressForNetwork<T>(T data, NetworkQuality quality)
{
var options = new FlexonOptions
{
EnableCompression = true,
CompressionLevel = quality switch
{
NetworkQuality.Low => CompressionLevel.Optimal,
NetworkQuality.Medium => CompressionLevel.Balanced,
NetworkQuality.High => CompressionLevel.Fastest,
_ => CompressionLevel.NoCompression
}
};
return _serializer.Serialize(data, options);
}
}public class TypeCache
{
private readonly ConcurrentDictionary<Type, TypeInfo> _cache;
private readonly ConcurrentDictionary<int, Type> _typeCodeCache;
public TypeInfo GetTypeInfo(Type type)
{
return _cache.GetOrAdd(type, CreateTypeInfo);
}
public Type GetTypeFromCode(int typeCode)
{
return _typeCodeCache.GetOrAdd(typeCode, LoadType);
}
}public class ObjectCache
{
private readonly MemoryCache _cache;
private readonly IFlexonSerializer _serializer;
public async Task<T> GetOrCreate<T>(string key, Func<Task<T>> factory)
{
if (_cache.TryGetValue(key, out byte[] cached))
{
return _serializer.Deserialize<T>(cached);
}
var value = await factory();
var binary = _serializer.Serialize(value);
_cache.Set(key, binary, TimeSpan.FromMinutes(30));
return value;
}
}public class PerformanceMonitor
{
private readonly Metrics _metrics;
private readonly DiagnosticSource _diagnostics;
public async Task<T> TrackOperation<T>(
string operation,
Func<Task<T>> action)
{
using var activity = _diagnostics.StartActivity(operation);
var sw = Stopwatch.StartNew();
try
{
var result = await action();
_metrics.RecordSuccess(operation, sw.ElapsedMilliseconds);
return result;
}
catch (Exception ex)
{
_metrics.RecordError(operation, ex);
throw;
}
}
}public class MemoryProfiler
{
private readonly ILogger _logger;
public async Task ProfileOperation(Func<Task> operation)
{
var before = GC.GetTotalMemory(true);
using var session = StartMemorySession();
await operation();
var after = GC.GetTotalMemory(true);
var diff = after - before;
_logger.LogInformation(
"Memory usage: {Diff} bytes, Gen0: {Gen0}, Gen1: {Gen1}, Gen2: {Gen2}",
diff,
GC.CollectionCount(0),
GC.CollectionCount(1),
GC.CollectionCount(2));
}
}-
Memory Management
- Use buffer pooling for frequent allocations
- Implement proper disposal patterns
- Monitor memory usage
- Use appropriate buffer sizes
-
Threading
- Configure thread pool appropriately
- Use parallel processing when beneficial
- Implement proper synchronization
- Monitor thread usage
-
IO Operations
- Use async IO
- Implement proper buffering
- Use memory-mapped files for large files
- Monitor IO performance
-
Network Operations
- Use connection pooling
- Implement proper compression
- Monitor network performance
- Handle network errors
-
Caching
- Cache frequently used data
- Implement proper cache invalidation
- Monitor cache hit rates
- Use appropriate cache sizes
-
Monitoring
- Implement proper logging
- Monitor performance metrics
- Track memory usage
- Profile critical operations