Parallel Processing Architecture

Parallel processing architecture is a design approach that allows a system to execute multiple tasks simultaneously across different CPU cores or hardware units. In the context of trading, this means the system can handle data ingestion, signal calculation, and order execution concurrently rather than sequentially.

By distributing the workload, the system can achieve much higher throughput and lower latency, which is essential for processing the massive influx of market data in crypto exchanges. Designing for parallel execution requires careful management of data dependencies and thread synchronization to avoid bottlenecks or race conditions.

This architecture is vital for modern trading platforms that must maintain performance under heavy load and rapid market fluctuations.