Fleet: Hierarchical Task-Based Abstraction for Megakernels on Multi-Die GPUs
This article provides metadata for a technical research paper titled 'Fleet' regarding hierarchical task-based abstraction for multi-die GPUs. It serves as a repository entry for academic researchers in computer architecture.
Why it matters
Advancements in multi-die GPU architecture are critical for scaling high-performance computing and AI training workloads.
Focus to learn more arXiv-issued DOI via DataCite Submission history From: Sangeeta Chowdhary [ view email ] [v1] Wed, 15 Apr 2026 21:49:03 UTC (68 KB) Full-text links: Access Paper: View a PDF of the paper titled Fleet: Hierarchical Task-based Abstraction for Megakernels on Multi-Die GPUs, by Sangeeta Chowdhary and 9 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.AR < prev | next > new | recent | 2026-04 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations?
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