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There are several methods for running parallel processes in an asynchronous Socket.IO application for multiple web users:

1. Using Node.js Cluster Module: This module allows you to create a cluster of worker processes that can handle incoming requests in parallel. Each worker process runs on a separate CPU core, and Socket.IO instances are shared among them.

2. Using the Redis Adapter: The Redis Adapter provides a way to share Socket.IO messages across multiple server instances. It does this by keeping a centralized data store in Redis that all server instances can access, allowing for parallel processing of messages across multiple instances.

3. Using Message Queues: Message queues provide a way to process messages asynchronously and decouple the sender and receiver of a message. Popular message queue systems like RabbitMQ or Apache Kafka can be used with Socket.IO to process messages in parallel.

Ultimately, the specific method used will depend on the specific needs of the application and the infrastructure available.