Decoupled Fallback: A Portable Single-Pass GPU Scan

We present Decoupled Fallback, a work-stealing method that enables single-pass Chained Scans to run on hardware without forward-progress guarantees (FPG) while avoiding starvation. Additionally, we introduce a tile state representation for Chained Scans that does not rely on 64-bit atomics or memory barriers for correctness, along with a subgroup-size-agnostic intra-workgroup implementation. On FPG-lacking devices---Apple M1 Max and M3---Decoupled Fallback achieves near-Memcpy speeds for inclusive prefix sum using the native Dawn implementation of the WebGPU standard, and approaches the full theoretically expected 50% speedup over the slower Reduce-then-Scan approach. We further demonstrate the resilience of Decoupled Fallback against unfair schedulers by simulating blocking at rates of up to 50%, showing that it maintains superior performance over Reduce-then-Scan even under extreme contention.

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Publication Details

Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743326
Citations
1
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
2.27
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article

Decoupled Fallback: A Portable Single-Pass GPU Scan

Raph Levien, John D. Owens, Tucker Smith
1 citations
Parallel Computing and Optimization Techniques
2.27
article

Decoupled Fallback: A Portable Single-Pass GPU Scan

Raph Levien, John D. Owens, Tucker Smith
article en
1 citations

Abstract

We present Decoupled Fallback, a work-stealing method that enables single-pass Chained Scans to run on hardware without forward-progress guarantees (FPG) while avoiding starvation. Additionally, we introduce a tile state representation for Chained Scans that does not rely on 64-bit atomics or memory barriers for correctness, along with a subgroup-size-agnostic intra-workgroup implementation. On FPG-lacking devices---Apple M1 Max and M3---Decoupled Fallback achieves near-Memcpy speeds for inclusive prefix sum using the native Dawn implementation of the WebGPU standard, and approaches the full theoretically expected 50% speedup over the slower Reduce-then-Scan approach. We further demonstrate the resilience of Decoupled Fallback against unfair schedulers by simulating blocking at rates of up to 50%, showing that it maintains superior performance over Reduce-then-Scan even under extreme contention.

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Parallel Computing and Optimization Techniques
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