EMS: efficient memory subsystem synthesis for spatial accelerators
Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang
2022年份
16被引次数
2顶会引用
摘要
Spatial accelerators provide massive parallelism with an array of homogeneous PEs, and enable efficient data reuse with PE array dataflow and on-chip memory. Many previous works have studied the dataflow architecture of spatial accelerators, including performance analysis and automatic generation. However, existing accelerator generators fail to exploit the entire memory-level reuse opportunities, and generate suboptimal designs with data duplication and inefficient interconnection.
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- Rubick: A Synthesis Framework for Spatial Architectures via Dataflow DecompositionZizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin 等DAC 2023 · 被引用 7 次
- LEGO: Spatial Accelerator Generation and Optimization for Tensor ApplicationsYujun Lin, Zhekai Zhang, Song HanHPCA 2025
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