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Liancheng Jia
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2020 – today
- 2023
- [j3]Liancheng Jia
, Zizhang Luo
, Liqiang Lu
, Yun Liang
:
Automatic Generation of Spatial Accelerator for Tensor Algebra. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1898-1911 (2023) - [c8]Zizhang Luo
, Liqiang Lu, Yicheng Jin, Liancheng Jia, Yun Liang:
Calabash: Accelerating Attention Using a Systolic Array Chain on FPGAs. FPL 2023: 242-247 - [c7]Size Zheng
, Siyuan Chen
, Siyuan Gao
, Liancheng Jia
, Guangyu Sun
, Runsheng Wang
, Yun Liang
:
TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. MICRO 2023: 1271-1288 - 2022
- [c6]Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang:
EMS: efficient memory subsystem synthesis for spatial accelerators. DAC 2022: 67-72 - [c5]Haokun Li, Jing Liu
, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan:
Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. ICDCS Workshops 2022: 145-150 - 2021
- [c4]Liancheng Jia, Zizhang Luo
, Liqiang Lu, Yun Liang:
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. DAC 2021: 865-870 - [c3]Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo
, Jieming Yin, Jason Cong, Yun Liang:
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. ISCA 2021: 720-733 - [c2]Liancheng Jia, Zizhang Luo
, Liqiang Lu, Yun Liang:
Analyzing the Design Space of Spatial Tensor Accelerators on FPGAs. ISVLSI 2021: 230-235 - [i2]Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang:
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. CoRR abs/2104.12339 (2021) - [i1]Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang:
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. CoRR abs/2105.01892 (2021) - 2020
- [j2]Liancheng Jia, Liqiang Lu, Xuechao Wei, Yun Liang:
Generating Systolic Array Accelerators With Reusable Blocks. IEEE Micro 40(4): 85-92 (2020) - [j1]Liancheng Jia
, Yun Liang
, Xiuhong Li, Liqiang Lu
, Shengen Yan:
Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels. IEEE Trans. Computers 69(7): 986-997 (2020)
2010 – 2019
- 2019
- [c1]Xiuhong Li, Yun Liang, Shengen Yan, Liancheng Jia, Yinghan Li:
A coordinated tiling and batching framework for efficient GEMM on GPUs. PPoPP 2019: 229-241
Coauthor Index

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