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A graph placement methodology for fast chip design
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 …
chip. Despite five decades of research, chip floorplanning has defied automation, requiring …
Dreamplace: Deep learning toolkit-enabled gpu acceleration for modern vlsi placement
Placement for very-large-scale integrated (VLSI) circuits is one of the most important steps
for design closure. This paper proposes a novel GPU-accelerated placement framework …
for design closure. This paper proposes a novel GPU-accelerated placement framework …
Replace: Advancing solution quality and routability validation in global placement
The Nesterov's method approach to analytic placement has recently demonstrated strong
solution quality and scalability. We dissect the previous implementation strategy and show …
solution quality and scalability. We dissect the previous implementation strategy and show …
Progress of placement optimization for accelerating VLSI physical design
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 …
affects the design cycle. Despite extensive prior research on placement, achieving fast and …
Autodmp: Automated dreamplace-based macro placement
A Agnesina, P Rajvanshi, T Yang, G Pradipta… - Proceedings of the …, 2023 - dl.acm.org
Macro placement is a critical very large-scale integration (VLSI) physical design problem
that significantly impacts the design power-performance-area (PPA) metrics. This paper …
that significantly impacts the design power-performance-area (PPA) metrics. This paper …
Xplace: An extremely fast and extensible global placement framework
Placement serves as a fundamental step in VLSI physical design. Recently, GPU-based
global placer DREAMPlace [1] demonstrated its superiority over CPU-based global placers …
global placer DREAMPlace [1] demonstrated its superiority over CPU-based global placers …
Lay-net: Grafting netlist knowledge on layout-based congestion prediction
Congestion modeling is a key point for improving the routability of VLSI placement solutions.
The underuti-lization of netlist information limits the performance of ex-isting layout-based …
The underuti-lization of netlist information limits the performance of ex-isting layout-based …
Routability-driven macro placement with embedded cnn-based prediction model
YH Huang, Z **e, GQ Fang, TC Yu… - … , Automation & Test …, 2019 - ieeexplore.ieee.org
With the dramatic shrink of feature size and the advance of semiconductor technology
nodes, numerous and complicated design rules need to be followed, and a chip design can …
nodes, numerous and complicated design rules need to be followed, and a chip design can …
MrDP: Multiple-row detailed placement of heterogeneous-sized cells for advanced nodes
As very large-scale integration technology shrinks to fewer tracks per standard cell, eg, from
10 to 7.5-track libraries (and lesser for 7 nm), there has been a rapid increase in the usage …
10 to 7.5-track libraries (and lesser for 7 nm), there has been a rapid increase in the usage …
Advancing placement
AB Kahng - Proceedings of the 2021 International Symposium on …, 2021 - dl.acm.org
Placement is central to IC physical design: it determines spatial embedding, and hence
parasitics and performance. From coarse-to fine-grain, placement is conjointly optimized …
parasitics and performance. From coarse-to fine-grain, placement is conjointly optimized …