Accelerating sparse matrix operations on FPGAs with on/off-chip memories

by Li, Shiqing
Published 2023

Accelerating gustavson-based SpMM on embedded FPGAs with element-wise parallelism and access pattern-aware caches

by Li, Shiqing, Liu, Weichen
Published 2023

Optimized data reuse via reordering for sparse matrix-vector multiplication on FPGAs

by Li, Shiqing, Liu, Di, Liu, Weichen
Published 2022

iMAD: an in-memory accelerator for AdderNet with efficient 8-bit addition and subtraction operations

by Zhu, Shien, Li, Shiqing, Liu, Weichen
Published 2022

Efficient FPGA-based sparse matrix-vector multiplication with data reuse-aware compression

by Li, Shiqing, Liu, Di, Liu, Weichen
Published 2023

An efficient gustavson-based sparse matrix-matrix multiplication accelerator on embedded FPGAs

by Li, Shiqing, Huai, Shuo, Liu, Weichen
Published 2023

An efficient sparse LSTM accelerator on embedded FPGAs with bandwidth-oriented pruning

by Li, Shiqing, Zhu, Shien, Luo, Xiangzhong, Luo, Tao, Liu, Weichen
Published 2023

MARCO : a high-performance task mapping and routing co-optimization framework for point-to-point NoC-based heterogeneous computing systems

by Chen, Hui, Zhang, Zihao, Chen, Peng, Luo, Xiangzhong, Li, Shiqing, Liu, Weichen
Published 2022

MUGNoC: a software-configured multicast-unicast-gather NoC for accelerating CNN dataflows

by Chen, Hui, Liu, Di, Li, Shiqing, Huai, Shuo, Luo, Xiangzhong, Liu, Weichen
Published 2023

Reduced worst-case communication latency using single-cycle multi-hop traversal network-on-chip

by Chen, Peng, Liu, Weichen, Chen, Hui, Li, Shiqing, Li, Mengquan, Yang, Lei, Guan, Nan
Published 2021

Partial order based non-preemptive communication scheduling towards real-time networks-on-chip

by Chen, Peng, Chen, Hui, Zhou, Jun, Liu, Di, Li, Shiqing, Liu, Weichen, Chang, Wanli, Guan, Nan
Published 2021

EvoLP: self-evolving latency predictor for model compression in real-time edge systems

by Huai, Shuo, Kong, Hao, Li, Shiqing, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

CRIMP: compact & reliable DNN inference on in-memory processing via crossbar-aligned compression and non-ideality adaptation

by Huai, Shuo, Kong, Hao, Luo, Xiangzhong, Li, Shiqing, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
Published 2023

EDLAB : a benchmark for edge deep learning accelerators

by Kong, Hao, Huai, Shuo, Liu, Di, Zhang, Lei, Chen, Hui, Zhu, Shien, Li, Shiqing, Liu, Weichen, Rastogi, Manu, Subramaniam, Ravi, Athreya, Madhu, Lewis, M. Anthony
Published 2022