Titlebook: High-Bandwidth Memory Interface; Chulwoo Kim,Hyun-Woo Lee,Junyoung Song Book 2014 The Author(s) 2014 DRAM.DRAM Circuit Design.DRAM Interfa

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書目名稱High-Bandwidth Memory Interface影響因子(影響力)




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書目名稱High-Bandwidth Memory Interface網(wǎng)絡(luò)公開度




書目名稱High-Bandwidth Memory Interface網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱High-Bandwidth Memory Interface被引頻次




書目名稱High-Bandwidth Memory Interface被引頻次學(xué)科排名




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書目名稱High-Bandwidth Memory Interface年度引用學(xué)科排名




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書目名稱High-Bandwidth Memory Interface讀者反饋學(xué)科排名

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2191-8112 f-the-art techniques for memory interface design.Covers memoThis book provides an overview of recent advances in memory interface design at both the architecture and circuit levels. Coverage includes signal integrity and testing, TSV interface, high-speed serial interface including equalization, ODT

脫水

NOT

Palter

刺激

An Introduction to High-Speed DRAM,ity of DRAM. Wide I/O DRAM is one alternative type of memory, as is TSV-based stacked memory. In this chapter, we introduce the fundamentals of high-speed DRAM operation. We do not cover the basic knowledge of complementary metal-oxide semiconductor (CMOS) circuits including design, layout, and simulation.

POLYP

An Introduction to High-Speed DRAM,reased to keep pace with the performance of application system. Up to now, 7?Gb/s/pin GDDR5 is the fastest SDRAM adopted in graphics cards (R. Rho et al., ., vol. 45, no. 1, pp.?120–133, 2010; T.-Y. Oh et al., ., vol. 46, no. 1, pp.?120–133, 2011; D. Shin et al., IEEE Symp. on Very Large Scale Integ

圣人

天真

Transceiver Design, to compensate for the channel loss, pre-emphasis at the transmitter is performed and equalization at the receiver is performed. Also, the multi-channel interface causes crosstalk and skew effect. These effects should be covered in DRAM interface design. Other issues in transceiver design are impeda

注意

ssumed to have a basic knowledge of analysis and linear algebra at an undergraduate level. Stochastic models are applied in many fields such as engineering systems, physics, biology, operations research, business, economics, psychology, and linguistics. Stochastic modeling is one of the promising ki