A graph placement methodology for fast chip design

A Mirhoseini, A Goldie, M Yazgan, JW Jiang… - Nature, 2021 - nature.com
Chip floorplanning is the engineering task of designing the physical layout of a computer
chip. Despite five decades of research, chip floorplanning has defied automation, requiring …

Progress and challenges in VLSI placement research

IL Markov, J Hu, MC Kim - … of the International Conference on Computer …, 2012 - dl.acm.org
Given the significance of placement in IC physical design, extensive research studies
performed over the last 50 years addressed numerous aspects of global and detailed …

Chipformer: Transferable chip placement via offline decision transformer

Y Lai, J Liu, Z Tang, B Wang, J Hao… - … on Machine Learning, 2023 - proceedings.mlr.press
Placement is a critical step in modern chip design, aiming to determine the positions of
circuit modules on the chip canvas. Recent works have shown that reinforcement learning …

Maskplace: Fast chip placement via reinforced visual representation learning

Y Lai, Y Mu, P Luo - Advances in Neural Information …, 2022 - proceedings.neurips.cc
Placement is an essential task in modern chip design, aiming at placing millions of circuit
modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of …

Progress of placement optimization for accelerating VLSI physical design

Y Qiu, Y **ng, X Zheng, P Gao, S Cai, X **ong - Electronics, 2023 - mdpi.com
Placement is essential in very large-scale integration (VLSI) physical design, as it directly
affects the design cycle. Despite extensive prior research on placement, achieving fast and …

On joint learning for solving placement and routing in chip design

R Cheng, J Yan - Advances in Neural Information …, 2021 - proceedings.neurips.cc
For its advantage in GPU acceleration and less dependency on human experts, machine
learning has been an emerging tool for solving the placement and routing problems, as two …

Reinforcement learning within tree search for fast macro placement

Z Geng, J Wang, Z Liu, S Xu, Z Tang… - … on Machine Learning, 2024 - openreview.net
Macro placement is a crucial step in modern chip design, and reinforcement learning (RL)
has recently emerged as a promising technique for improving the placement quality …

A study of through-silicon-via impact on the 3D stacked IC layout

DH Kim, K Athikulwongse, SK Lim - Proceedings of the 2009 …, 2009 - dl.acm.org
Through-Silicon-Via (TSV) is the enabling technology for the fine-grained 3D integration of
multiple dies into a single stack. These TSVs occupy non-negligible silicon area because of …

SimPL: An effective placement algorithm

MC Kim, DJ Lee, IL Markov - IEEE Transactions on Computer …, 2011 - ieeexplore.ieee.org
We propose a self-contained, flat, quadratic global placer that is simpler than existing
placers and easier to integrate into timing-closure flows. It maintains lower-bound and upper …

ePlace: Electrostatics-based placement using fast fourier transform and Nesterov's method

J Lu, P Chen, CC Chang, L Sha, DJH Huang… - ACM Transactions on …, 2015 - dl.acm.org
We develop a flat, analytic, and nonlinear placement algorithm, ePlace, which is more
effective, generalized, simpler, and faster than previous works. Based on the analogy …