Cramming More Components Onto Integrated Circuits
By G. Moore. 1998
Subfields: ML Systems & Hardware
How researchers see this paper
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In ML Systems & Hardware
- D. Fleetwood
- J. Meijer
- Atif Shamim
- Radu Sion
- Bogdan Carbunar
- Hammad M. Cheema
- Tom B. Brown
- Danny Hernandez
Citations in the corpus
- Measuring the Algorithmic Efficiency of Neural Networks (2020, methodology): “…this trend to AI, we were surprised and inspired to learn that the original Moore’s Law was coined when integrated circuits had a mere 64 transistors (6 doublings) [Moore, 1965] and naively extrapolating it out predicted personal computers and smartphones (an iPhone 11 has 8.5 billion transistors).”
- Green AI (2019, background): “In fact, as Figure 1 illustrates, the computational cost of research is increasing exponentially, at a pace that far exceeds Moore’s Law [27].”
- The hardware lottery (2020, background): “The general purpose computer era crystallized in 1969, when an opinion piece by a young engineer called Gordan Moore appeared in Electronics magazine with the apt title “Cramming more components onto circuit boards”(Moore, 1965).”
- Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit (2020, methodology): “sources, i.e., ℎ !=() #(ℎ !"#)+(1−()) $(& !), where - !=) #(ℎ !"#) denotes the memory state mapping from ℎ !"#; . !=) $(& !) denotes the input state mapping from & !; and (∈(0,1) is the fusing coefficient that controls the strength of the memory state with respect to the i”
- Crowdsourcing for climate and atmospheric sciences: current status and future potential (2015, unknown): “Computing power continues to increase, doubling approximately every two years (Moore, 1965; Schaller, 1997), and with more than 8.7 billion devices connected to the internet - expected to rise to more than 50 billion by 2020 (Evans, 2011) - the amount of accessible data is growing.”
- A Graphene Field-Effect Device (2007, background): “INTRODUCTION Moore’s law, the scaling rule of thumb turned dogma, has dictated ambitious innovation cycles in silicon technology over the last four decades [1][2].”
- Sigma-point kalman filters for probabilistic inference in dynamic state-space models (2004, background): “Thanks in part to the relentless accuracy of Moore’s Law [138] over the last 40 years, cybernetic systems have become more and more capable of tackling hard problems outside the confines of the research lab.”
- Quasi-one-dimensional metal oxide materials—Synthesis, properties and applications (2006, background): “In the present development of microelectronics, Moore’s law [1] continues to dominate as the number of transistors per chip doubles every 2 years.”
- A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (2010, methodology): “T h e o n -d em an d g o v er n o r [1 9 ] C P U A rb it ra ry M in im iz e p o w er co n su m p ti o n ,”
- Low-Frequency Noise in Advanced MOS Devices (2007, background): “(1-28) is called a Lorentzian and is illustrated in Fig.”
- Dark silicon and the end of multicore scaling (2011, background): “Moore’s Law [23] (the doubling of transistors on chip every 18 months) has been a fundamental driver of computing.”