Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators
Jingwei Cai, Yuchen Wei, Zuotong Wu, Sen Peng, Kaisheng Ma
2023年份
67被引次数
13顶会引用
摘要
With the continuous expansion of the DNN accelerator scale, inter-layer scheduling, which studies the allocation of computing resources to each layer and the computing order of all layers in a DNN, plays an increasingly important role in maintaining a high utilization rate and energy efficiency of DNN inference accelerators. However, current inter-layer scheduling is mainly conducted based on some heuristic patterns. The space of inter-layer scheduling has not been clearly defined, resulting in significantly limited optimization opportunities and a lack of understanding on different inter-layer scheduling choices and their consequences.
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- Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet AcceleratorsJingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei 等HPCA 2024 · 被引用 65 次
- TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based AnalysisSize Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia 等MICRO 2023 · 被引用 31 次
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNNRenze Chen, Zijian Ding, Size Zheng, Chengrui Zhang 等ASPLOS 2024 · 被引用 14 次
- SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module AcceleratorsMohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al FaruqueMICRO 2024 · 被引用 11 次
- Reconfigurable Stream Network ArchitectureChengyue Wang, Xiaofan Zhang, Jason Cong, James C. HoeISCA 2025 · 被引用 8 次
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