Tian Xia

According to our database, Tian Xia authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Differential-Matching Prefetcher for Indirect Memory Access.

Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao, Pengju Ren

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

HIPU: A Hybrid Intelligent Processing Unit With Fine-Grained ISA for Real-Time Deep Neural Network Inference Applications.

Wenzhe Zhao, Guoming Yang, Tian Xia, Fei Chen, Nanning Zheng, Pengju Ren

IEEE Trans. Very Large Scale Integr. Syst., December, 2023

Optimizing FPGA-Based DNN Accelerator With Shared Exponential Floating-Point Format.

Wenzhe Zhao, Qiwei Dang, Tian Xia, Jingming Zhang, Nanning Zheng, Pengju Ren

IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023

REMAP: A Spatiotemporal CNN Accelerator Optimization Methodology and Toolkit Thereof.

Boran Zhao, Tian Xia, Haiming Zhai, Fulun Ma, Yan Du, Hanzhi Chang, Wenzhe Zhao, Pengju Ren

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

An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization.

Tian Xia, Boran Zhao, Jian Ma, Gelin Fu, Wenzhe Zhao, Nanning Zheng, Pengju Ren

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2023

A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization.

Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Luo, Lucheng Zhang, Ruiyang Chen, Wenzhe Zhao, Nanning Zheng, Pengju Ren

IEEE Trans. Parallel Distributed Syst., February, 2023

TAQ: Top-K Attention-Aware Quantization for Vision Transformers.

Lili Shi, Haiduo Huang, Bowei Song, Meng Tan, Wenzhe Zhao, Tian Xia, Pengju Ren

Proceedings of the IEEE International Conference on Image Processing, 2023

PrSpMV: An Efficient Predictable Kernel for SpMV.

Gelin Fu, Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding, Pengju Ren

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022

MI2D: Accelerating Matrix Inversion with 2-Dimensional Tile Manipulations.

Lingfeng Chen, Tian Xia, Wenzhe Zhao, Pengju Ren

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

PIT: Processing-In-Transmission With Fine-Grained Data Manipulation Networks.

Pengchen Zong, Tian Xia, Haoran Zhao, Jianming Tong, Zehua Li, Wenzhe Zhao, Nanning Zheng, Pengju Ren

IEEE Trans. Computers, 2021

Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation.

Youzhuo Wang, Wenzhe Zhao, Tian Xia, Nanning Zheng, Pengju Ren

Proceedings of the International Joint Conference on Neural Networks, 2021

CAQ: Context-Aware Quantization via Reinforcement Learning.

Zhijun Tu, Jian Ma, Tian Xia, Wenzhe Zhao, Pengju Ren, Nanning Zheng

Proceedings of the International Joint Conference on Neural Networks, 2021

SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV.

Chenyang Li, Tian Xia, Wenzhe Zhao, Nanning Zheng, Pengju Ren

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

2020

Exploring Better Speculation and Data Locality in Sparse Matrix-Vector Multiplication on Intel Xeon.

Haoran Zhao, Tian Xia, Chenyang Li, Wenzhe Zhao, Nanning Zheng, Pengju Ren

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

COCOA: Content-Oriented Configurable Architecture Based on Highly-Adaptive Data Transmission Networks.

Tian Xia, Pengchen Zong, Haoran Zhao, Jianming Tong, Wenzhe Zhao, Nanning Zheng, Pengju Ren

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020