"TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern ..."

Licheng Guo et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3609335

access: closed

type: Journal Article

metadata version: 2024-01-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/trets/GuoCLSTKQWUFZC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/trets/GuoCLSTKQWUFZC23
Licheng Guo, Yuze Chi, Jason Lau, Linghao Song, Xingyu Tian, Moazin Khatti, Weikang Qiao, Jie Wang, Ecenur Ustun, Zhenman Fang, Zhiru Zhang, Jason Cong:
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design. ACM Trans. Reconfigurable Technol. Syst. 16(4): 63:1-63:31 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.