Our submission to DATE 2023, "FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks", authored by Haena Song has been accepted.
페이지 정보
작성자 최고관리자 댓글 0건 조회 556회 작성일 22-11-01 19:12본문
Our submission to DATE 2023, "FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks", authored by Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, and Seokhyeong Kang has been accepted.
- 이전글Our submission to DATE 2022, "Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor", authored by Jongho Yoon and Sunmean Kim has been accepted. 21.11.01
- 다음글Our submission to DATE 2023, "Mobile Accelerator Exploiting Sparsity of Multi-Heads, Lines and Blocks in Transformer in Computer Vision", authored by Eunji Kwon has been accepted. 22.11.01
댓글목록
등록된 댓글이 없습니다.
