Moore's law: past, present and future
By Rainer Schaller. 1997
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sara Beery
- Grant Van Horn
- Nei Kato
- Zubair Muhammad Fadlullah
- Yifan Sun
- Pietro Perona
- Yuichi Kawamoto
- Yi Yang
Citations in the corpus
- Recognition in Terra Incognita (2018, background): “Thanks to the combination of deep learning [6, 7], Moore’s law [8] and very large annotated datasets [9, 10] enormous progress has been made during the past 10 years.”
- Science and technology roadmaps (2001, background): “Over time, a circuit density doubling rate of every 18 months has come to be accepted as the consensus view, and has been dubbed “Moore’s Law” (see [45]).”
- A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017, methodology): “The surge of data from the IoT, along with other large-scale data sources, is contributing to a data growth which is four times faster than that anticipated by the Moore’s law [68].”
- 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.”
- The Pareto-optimal temporal aggregation of energy system models (2021, background): “In contrast, the growth rate of transistor density, which has been constant over the decades and is known as Moore’s Law [3, 4], has been decreasing in recent years [5].”
- Time series aggregation for energy system design: Modeling seasonal storage (2017, unknown): “ency [-] dis s Discharge eciency [-] self s Self discharge rate [1/s] t Time step length [s] 1.1. Motivation to aggregate time series Although Moore’s Law held for the most of the last few decades [2], the computational tractability of these mathematical programs remains substantially limited [3]. T”
- Summarizing CPU and GPU Design Trends with Product Data (2019, background): “Moore’s Law [8] and Dennard Scaling [2] have guided the development of the semiconductor industry.”