[2606.01693] Scalable Concurrent Queues for GPU

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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2606.01693 (cs)

[Submitted on 1 Jun 2026]

Title:Scalable Concurrent Queues for GPU

Authors:Pratheek Prakash Shetty, Thomas R. W. Scogland, Wu-chun Feng<br>View a PDF of the paper titled Scalable Concurrent Queues for GPU, by Pratheek Prakash Shetty and 2 other authors

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Abstract:Concurrent queues can significantly impact supercomputing performance by being critical bottlenecks for task distribution, load balancing, and resource utilization. As HPC systems move beyond 10-million processor cores, the ability to rapidly move items between producer and consumer threads without excessive locking is essential for efficient queues, preventing idle cores, maximizing utilization, and achieving high parallel speedup. While concurrent queues are well studied on CPUs, they remain largely unexplored on modern GPUs, where SIMT execution, massive parallelism, and atomic contention reshape the design space. We present three linearizable GPU concurrent queues spanning from lock-free to wait-free guarantees: (1) G-WFQ-YMC, an adaptation of Yang and Mellor-Crummey's wait-free queue using preallocated segments; (2) G-LFQ, a bounded lock-free queue that uses wave-batched fast paths to maximize throughput; and (3) G-WFQ, a bounded wait-free queue that packs shared state into 64-bit compare-and-swap operations while preserving linearizability and bounded memory.

Comments:<br>10 pages, 5 figures

Subjects:

Distributed, Parallel, and Cluster Computing (cs.DC); Data Structures and Algorithms (cs.DS)

ACM classes:<br>D.1.3; C.1.2; C.4

Cite as:<br>arXiv:2606.01693 [cs.DC]

(or<br>arXiv:2606.01693v1 [cs.DC] for this version)

https://doi.org/10.48550/arXiv.2606.01693

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arXiv-issued DOI via DataCite (pending registration)

Submission history<br>From: Pratheek Prakash Shetty [view email]<br>[v1]<br>Mon, 1 Jun 2026 04:57:32 UTC (5,204 KB)

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