Dispatch Overhead

Cross-source consensus on Dispatch Overhead from 1 sources and 5 claims.

1 sources · 5 claims

How it works

The main hypothesis is that pruned ViT attention is short enough for host-side dispatch to dominate latency instead of GPU arithmetic. — Dispatch-Aware Ragged Attention for Pruned Vision Transformers
At DeiT sequence lengths, matrix arithmetic can finish in single-digit microseconds while high-level variable-length APIs can take tens of microseconds to launch. — Dispatch-Aware Ragged Attention for Pruned Vision Transformers
Fixed costs such as Python argument validation, pybind11 binding, allocations, and CUDA launch dispatch can outweigh actual attention computation at ViT-scale sequence lengths. — Dispatch-Aware Ragged Attention for Pruned Vision Transformers
The discussion attributes the observed results to dispatch overhead rather than a different attention algorithm. — Dispatch-Aware Ragged Attention for Pruned Vision Transformers
The paper estimates Triton's lower launch path reduces the dispatch floor from about 62 microseconds to about 40 microseconds. — Dispatch-Aware Ragged Attention for Pruned Vision Transformers