perf: implement SIMD-accelerated event processing and optimize streaming performance

- Add SIMD utilities for fast byte array comparison and discriminator matching
- Optimize event processor with batch processing and memory pool
- Refactor global state management with concurrent data structures
- Remove deprecated batch processing module
- Enhance metrics collection with reduced overhead
- Improve parser efficiency across all protocol implementations
- Add performance benchmarking dependencies (criterion, wide)
- Update documentation and examples for new architecture

Performance improvements:
- SIMD-accelerated byte operations for instruction parsing
- Concurrent HashMap (DashMap) for better multi-threading
- Optimized memory allocation patterns
- Reduced lock contention in event processing pipeline

Breaking changes: Removed batch.rs module, updated parser interfaces

src/streaming/shred/connection.rs

@@ -59,14 +59,6 @@ impl ShredStreamGrpc {
         Self::new_with_config(endpoint, StreamClientConfig::low_latency()).await
     }
 
-    /// Creates a new ShredStreamClient with asynchronous processing configuration.
-    ///
-    /// This is a convenience method that creates a client optimized for high-volume scenarios
-    /// with balanced throughput and reliability. See `StreamClientConfig::async_processing()`
-    /// for detailed configuration information.
-    pub async fn new_async_processing(endpoint: String) -> AnyResult<Self> {
-        Self::new_with_config(endpoint, StreamClientConfig::async_processing()).await
-    }
 
     /// 获取当前配置
     pub fn get_config(&self) -> &StreamClientConfig {