Principle:Ggml org Llama cpp Parallel Request Handling
| Knowledge Sources | |
|---|---|
| Domains | Parallel_Inference |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
Parallel Request Handling is the principle of serving multiple independent generation requests simultaneously within a single model context.
Description
This principle covers the mechanism for processing multiple independent text generation requests in parallel using a single model instance. By assigning each request to a separate sequence slot within the batch, multiple users or requests can share the same model weights and KV cache memory while generating independent outputs concurrently. This is the foundation of the server's concurrent request handling.
Usage
Apply this principle when building serving infrastructure that needs to handle multiple simultaneous generation requests efficiently, maximizing GPU utilization by batching tokens from different requests together.
Theoretical Basis
Parallel decoding exploits the fact that transformer forward passes can process tokens from multiple independent sequences in a single batch. Each sequence maintains its own KV cache entries and position counters, but the matrix multiplications for all sequences are combined into a single large operation. Attention masking ensures that tokens from different sequences do not attend to each other. The system manages sequence slots, tracks per-sequence generation state (prompt tokens remaining, stop conditions, output buffers), and schedules batch composition to balance fairness and throughput across active requests.