End of Moore's law: thermal (noise) death of integration in micro and nano electronics

By L. Kish. 2002

448 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/12348b2a883393b40897b965364a4623c7deae76

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. J. Demmel
2. R. Vuduc
3. Lode K. J. Vandamme
4. Yifan Sun
5. F. Hooge
6. K. Yelick

In Electrical and Electronic Engineering

1. Lode K. J. Vandamme
2. J. Demmel
3. R. Vuduc
4. Yifan Sun
5. F. Hooge

In Statistical and Nonlinear Physics

1. Lode K. J. Vandamme
2. J. Demmel
3. R. Vuduc
4. F. Hooge

Citations in the corpus

• What Do We Certainly Know About $\hbox{1}/f$ Noise in MOSTs? (2008, background): “The variance of the thermal noise increases with fT and enhances the chance on bit flip errors [99].”
• Summarizing CPU and GPU Design Trends with Product Data (2019, background): “A. Moore’s Law Researchers have been predicting the end of Moore’s Law for a long time [5], [6], [10], [11].”
• Automatic performance tuning of sparse matrix kernels (2003, background): “, thermal and atomic) barriers are encountered [230]: current projections suggest Moore’s Law can be maintained at least until 2010 [189].”