Moore's Law - Revision history

User at 17:29, 11 March 2024

2024-03-11T17:29:30Z

User at 17:53, 23 April 2023

2023-04-23T17:53:38Z

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2019-01-06T06:08:27Z

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-'''Moore's Law''' is a prediction made by Gordon Moore, co-founder of Intel Corporation, in 1965. He observed that the number of transistors on an integrated circuit (IC) doubled approximately every two years, which led to an increase in computing power and a decrease in cost per transistor. This trend allowed for the rapid development of more powerful and affordable computers, smartphones, and other electronic devices.
+'''Moore's Law''' is a prediction made by Gordon Moore, co-founder of Intel Corporation, in 1965. He observed that the number of transistors on an [[Integrated Circuit (IC)|integrated circuit (IC)]] doubled approximately every two years, which led to an increase in computing power and a decrease in cost per transistor. This trend allowed for the rapid development of more powerful and affordable computers, smartphones, and other electronic devices.
 == Purpose and Role ==
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 == See Also ==
+*[[IT Strategy (Information Technology Strategy)]]
+*[[IT Governance]]
+*[[Enterprise Architecture]]
+*[[Chief Information Officer (CIO)]]
+*[[IT Sourcing (Information Technology Sourcing)]]
+*[[IT Operations (Information Technology Operations)]]
+*[[E-Strategy]]

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−	'''~~Content Coming Soon~~'''	+	'''Moore's Law''' is a prediction made by Gordon Moore, co-founder of Intel Corporation, in 1965. He observed that the number of transistors on an integrated circuit (IC) doubled approximately every two years, which led to an increase in computing power and a decrease in cost per transistor. This trend allowed for the rapid development of more powerful and affordable computers, smartphones, and other electronic devices.
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		+	== Purpose and Role ==
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		+	Moore's Law has served as a guiding principle for the semiconductor industry and has been crucial in driving technological advancements in computing. It has led to:
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		+	*'''Increased computational power:''' With the increase in the number of transistors, computers have become more powerful, allowing for faster processing, more sophisticated software, and improved user experiences.
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		+	*'''Reduced costs:''' As the number of transistors per IC increased, the cost per transistor decreased, making electronic devices more affordable for consumers and businesses.
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		+	*'''Miniaturization:''' With more transistors packed into smaller spaces, electronic devices have become smaller, lighter, and more portable.
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		+	*'''Innovation:''' The continuous improvement in computing power enabled by Moore's Law has spurred innovation in various fields, including artificial intelligence, telecommunications, medical technology, and more.
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		+	== Challenges and Limitations ==
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		+	Moore's Law is not a physical law but rather an empirical observation. Over time, several challenges and limitations have emerged:
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		+	*'''Physical limits:''' As transistors shrink in size, they approach the limits of current silicon-based technology. Quantum effects, leakage current, and heat dissipation become significant obstacles to further miniaturization.
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		+	*'''Economic constraints:''' The cost of building new semiconductor fabrication facilities has increased dramatically, making it more challenging to maintain the pace of transistor scaling.
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		+	*'''Performance limitations:''' The benefits of increasing the number of transistors have started to diminish, as power consumption and heat dissipation have become significant challenges.
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		+	While Moore's Law may slow down in the future, alternative approaches, such as parallel computing, 3D chip stacking, and emerging technologies like quantum computing and neuromorphic computing, are being explored to continue driving advancements in computing power and efficiency.
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		+	In summary, Moore's Law has been an influential prediction that has guided the semiconductor industry for decades, leading to rapid advancements in computing power, reduced costs, miniaturization, and innovation. However, as physical and economic limitations arise, new approaches and technologies are being explored to maintain the growth of computational capabilities.
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		+	== See Also ==
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		+	== References ==
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