[2606.15991] Fearless Concurrency on the GPU

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Computer Science > Programming Languages

arXiv:2606.15991 (cs)

[Submitted on 14 Jun 2026]

Title:Fearless Concurrency on the GPU

Authors:Melih Elibol, Jared Roesch, Isaac Gelado, Eric Buehler, Michael Garland<br>View a PDF of the paper titled Fearless Concurrency on the GPU, by Melih Elibol and 4 other authors

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Abstract:Rust has made safe systems programming practical on the CPU, but writing custom GPU kernels in Rust still forces programmers outside the language's ownership guarantees. We present cuTile Rust, a tile-based system for safe, idiomatic GPU kernel authoring in Rust. cuTile Rust extends Rust's ownership discipline to tile-based GPU kernels: mutable outputs are split into disjoint pieces, kernel launches preserve the host-side ownership contract, and programmers can opt out locally when they need lower-level control. The system also provides a composable host execution model spanning synchronous launches, asynchronous pipelines, and CUDA graph replay.

Our evaluation shows that these abstractions can preserve performance on high-end GPUs. On the NVIDIA B200 GPU, cuTile Rust achieves 7 TB/s for element-wise operations and 2 PFlop/s for GEMM (96% of cuBLAS), matching cuTile Python within measurement noise. Grout, a cuTile-Rust-based inference engine, exercises cuTile Rust across an end-to-end Qwen3 inference path. In batch-1 decode, Grout reaches 171 generated tokens/s for Qwen3-4B on the NVIDIA GeForce RTX 5090 and 82 generated tokens/s for Qwen3-32B on the B200, competitive with vLLM and SGLang and consistent with an HBM roofline sanity check.

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Programming Languages (cs.PL)

Cite as:<br>arXiv:2606.15991 [cs.PL]

(or<br>arXiv:2606.15991v1 [cs.PL] for this version)

https://doi.org/10.48550/arXiv.2606.15991

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Melih Elibol [view email]<br>[v1]<br>Sun, 14 Jun 2026 19:37:58 UTC (219 KB)

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