The design of power distribution networks (PDNs) become increasingly complex and less margin, as the CMOS technology node continues to scale down into 10nm and below and the operating voltage of high-performance (HPm) logic keeps decreasing. As circuit density on a single chip doubles every two to three years, the current density is growing rapidly as well. As the application of machine learning and deep learning are emerging, more and more logic blocks, such as application-specic or heterogeneous integrations are needed on future application processors(APs). All of these requires a better design and analysis of methodology for PDNs
In our modern daily life, many activities require electricity, for example, the usage of domestic ap...
With everyday advances in technology and low-cost economics, processor systems are moving towards sp...
Research has shown that Neural Networks (NNs)are capable of accurate and quick low voltage (LV) grid...
Designing a chip to obtain maximum performance and maintaining decent voltage levels with low power ...
118 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.We propose a novel approach t...
Providing a reliable power distribution network (PDN) is a critical design challenge for mobile syst...
We find that traditional GNNs are not well suited to learning on utility-scale power distribution gr...
In this paper an algorithm is described for obtaining the response of Power Distribution Networks (P...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
High-speed digital systems are moving to higher data rates and smaller supply voltages as the scale ...
Power distribution network (PDN) design in high speed digital systems is a critical challenge for sy...
We present a methodology for the design and analysis of power grids in the PowerPC ™ microprocessors...
Research has shown that Neural Networks (NNs) are capable of accurate and quick low voltage (LV) gri...
Power noise is one of the key signal integrity problems. Unlike the design of signal paths, where th...
In our modern daily life, many activities require electricity, for example, the usage of domestic ap...
With everyday advances in technology and low-cost economics, processor systems are moving towards sp...
Research has shown that Neural Networks (NNs)are capable of accurate and quick low voltage (LV) grid...
Designing a chip to obtain maximum performance and maintaining decent voltage levels with low power ...
118 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.We propose a novel approach t...
Providing a reliable power distribution network (PDN) is a critical design challenge for mobile syst...
We find that traditional GNNs are not well suited to learning on utility-scale power distribution gr...
In this paper an algorithm is described for obtaining the response of Power Distribution Networks (P...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
In this paper, a method for modeling power delivery networks (PDN) is used to explore design guideli...
High-speed digital systems are moving to higher data rates and smaller supply voltages as the scale ...
Power distribution network (PDN) design in high speed digital systems is a critical challenge for sy...
We present a methodology for the design and analysis of power grids in the PowerPC ™ microprocessors...
Research has shown that Neural Networks (NNs) are capable of accurate and quick low voltage (LV) gri...
Power noise is one of the key signal integrity problems. Unlike the design of signal paths, where th...
In our modern daily life, many activities require electricity, for example, the usage of domestic ap...
With everyday advances in technology and low-cost economics, processor systems are moving towards sp...
Research has shown that Neural Networks (NNs)are capable of accurate and quick low voltage (LV) grid...