BerryBees: Breadth First Search by Bit-Tensor-Cores
Yuyao Niu, Marc Casas
2025年份
9被引次数
3顶会引用
摘要
Breadth First Search (BFS) plays a key role in computational science, networking, and artificial intelligence applications. Although the BFS approach has been extensively studied, particularly in its direction-optimized form, existing implementations still present three main issues: (1) high memory footprint; (2) the under-realized lightweight representations using bitmaps; and (3) the underuse of modern hardware such as Tensor Cores Units (TCUs).
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- KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPUHemeng Wang, Yang Du, Sidu Li, Xiaowen Tian 等SC 2025 · 被引用 4 次
- Characterizing Matrix Multiplication Units across General Parallel Patterns in Scientific ComputingYuechen Lu, Hongwei Zeng, Marc Casas, Weifeng LiuPPoPP 2026 · 被引用 1 次
- DiggerBees: Depth First Search Leveraging Hierarchical Block-Level Stealing on GPUsYuyao Niu, Yuechen Lu, Weifeng Liu, Marc CasasPPoPP 2026 · 被引用 1 次
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