Click here to flash read.
arXiv:2404.13061v1 Announce Type: new
Abstract: This paper introduces the problem of learning to place logic blocks in Field-Programmable Gate Arrays (FPGAs) and a learning-based method. In contrast to previous search-based placement algorithms, we instead employ Reinforcement Learning (RL) with the goal of minimizing wirelength. In addition to our preliminary learning results, we also evaluated a novel decomposition to address the nature of large search space when placing many blocks on a chipboard. Empirical experiments evaluate the effectiveness of the learning and decomposition paradigms on FPGA placement tasks.
Click here to read this post out
ID: 816594; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: April 23, 2024, 7:31 a.m.
Changes:
Dictionaries:
Words:
Spaces:
Views: 7
CC:
No creative common's license
No creative common's license
Comments: