Acknowledgement
이 논문은 2024년도 정부(산업통상자원부)의 재원으로 한국산업기술기획평가원의 지원(No. RS-2024-00406121, 자동차보안취약점기반위협분석시스템개발(R&D))과 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원(No. RS-2022-00166529)을 받고 과기정통부 정보통신기획평가원의 정보보호핵심원천기술개발사업(No. RS-2024-00337414)으로 수행한 결과임.
References
- A. Parashar et al., "SCNN: An Accelerator for Compressed-Sparse Convolutional Neural Networks," ISCA, 2017
- E. Qin et al., "SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training," HPCA, 2020
- Y. Wang et al., "Dual-side Sparse Tensor Core," ISCA, 2021
- NVIDIA, "NVIDIA Ampere GA102 GPU Architecture," Technical Report, 2020.
- Liu et al., "S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration," HPCA, 2022
- Maohua Zhu et al., "Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs," MICRO, 2019
- Yannan Nellie Wu, Et Al, "HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity," MICRO, 2023