Liancheng Jia

According to our database, Liancheng Jia authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatic Generation of Spatial Accelerator for Tensor Algebra.

Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis.

Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Calabash: Accelerating Attention Using a Systolic Array Chain on FPGAs.

Zizhang Luo, Liqiang Lu, Yicheng Jin, Liancheng Jia, Yun Liang

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022

Downscaling and Overflow-aware Model Compression for Efficient Vision Processors.

Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

EMS: efficient memory subsystem synthesis for spatial accelerators.

Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Analyzing the Design Space of Spatial Tensor Accelerators on FPGAs.

Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation.

Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra.

Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels.

Liancheng Jia, Yun Liang, Xiuhong Li, Liqiang Lu, Shengen Yan

IEEE Trans. Computers, 2020

Generating Systolic Array Accelerators With Reusable Blocks.

Liancheng Jia, Liqiang Lu, Xuechao Wei, Yun Liang

IEEE Micro, 2020

2019

A coordinated tiling and batching framework for efficient GEMM on GPUs.

Xiuhong Li, Yun Liang, Shengen Yan, Liancheng Jia, Yinghan Li

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019