| 期刊全稱 | Advanced Memory Optimization Techniques for Low-Power Embedded Processors | | 影響因子2023 | Manish Verma,Peter Marwedel | | 視頻video | http://file.papertrans.cn/146/145922/145922.mp4 | | 發(fā)行地址 | The complete application, including data variables and code segments, is optimized.Comprehensive architecture-level exploration for real-life applications.Demonstration of architecture-aware compilati | | 圖書封面 |  | | 影響因子 | In a relatively short span of time, computers have evolved from huge mainframes to small and elegant desktop computers, and now to low-power, ultra-portable handheld devices. Witheachpassinggeneration,computersconsistingofprocessors,memoriesandperipherals becamesmallerandfaster.Forexample,the?rstcommercialcomputerUNIVACIcosted $1 million dollars, occupied 943 cubic feet space and could perform 1,905 operations per second [94]. Now, a processor present in an electric shaver easily outperforms the early mainframe computers. The miniaturization is largely due to the efforts of engineers and scientists that made the expeditious progress in the microelectronic technologies possible. According to Moore’s Law [90], the advances in technology allow us to double the number of transistors on a single silicon chip every 18 months. This has lead to an exponential increase in the number of transistors on a chip, from 2,300 in an Intel 4004 to 42 millions in Intel Itanium processor [55]. Moore’s Law has withstood for 40 years and is predicted to remain valid for at least another decade [91]. Notonlytheminiaturizationanddramaticperformanceimprovementbutalsothesign- icantdropinthepriceofprocessors | | Pindex | Book 2007 |
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