Will Fab Tool Boom Cycle Last?


Fab equipment spending is on pace for a record year in 2017, and it now appears that momentum could continue into 2018. Fab tool vendors found themselves in the midst of an unexpected boom cycle in 2017, thanks to enormous demand for equipment in [getkc id="208" comment="3D NAND"] and, to a lesser degree, [getkc id="93" kc_name="DRAM"]. In the logic/foundry business, however, equipment deman... » read more

The Next 5 Years Of Chip Technology


Semiconductor Engineering sat down to discuss the future of scaling, the impact of variation, and the introduction of new materials and technologies, with Rick Gottscho, CTO of [getentity id="22820" comment="Lam Research"]; Mark Dougherty, vice president of advanced module engineering at [getentity id="22819" comment="GlobalFoundries"]; David Shortt, technical fellow at [getentity id="22876" co... » read more

Toward Self-Driving Cars


The automotive market for semiconductors is shifting into high gear. Right now the average car has about $350 worth of semiconductor content, but that is projected to grow another 50% by 2023 as the overall automotive market for semiconductors grows from $35 billion to $54 billion. This strong growth is being driven by the need to develop what we are calling the ‘connected car.’ The ... » read more

The Week In Review: Design


M&A Synopsys finalized its acquisition of Black Duck Software, which provides software for managing and securing open source software in projects, adding to Synopsys' burgeoning software analysis and security business. The cash deal was approximately $547 million net of cash acquired. STMicroelectronics acquired Atollic, maker of the Eclipse-based TrueSTUDIO Integrated Development Envir... » read more

Body Biasing For Analog Design


This paper presents the practical application of body biasing control of ultra-deep submicron FD-SOI technologies for analog and mixed-signal designs. The body biasing control is dedicated for dynamic control of the trade- off between speed vs. power consumption for advanced digital circuits. However, in this work we focus on trading-off and improvement of analog circuit performances. Three dif... » read more

The Week In Review: Manufacturing


Fab tools and test Four former employees at Applied Materials were charged by the U.S. for allegedly trying to steal the company’s own fab tool technology designs, according to a report from Bloomberg and others. The former employees were allegedly trying to sell the technology to a Chinese startup that would compete against Applied, according to the report. The former employees--Liang C... » read more

Blog Review: Dec. 6


Synopsys' Eric Huang examines electromagnetic interference, the Bit Error Rate in USB 3.2 and how different transfer types handle errors. Mentor's Nitin Bhagwath points out several things that can cause DDR signals to behave badly, from excessive ringing to stubs in the channel. Cadence's Paul McLellan listens in as Oski CEO Vigyan Singhal explains the basics of assertion-based verificati... » read more

Manufacturing Bits: Dec. 5


Intel vs. GlobalFoundries At the IEEE International Electron Devices Meeting (IEDM) this week, GlobalFoundries and Intel will square off and present papers on their new logic processes. Intel will present more details about its previously-announced 10nm finFET technology, while GlobalFoundries will discuss its 7nm finFET process. As expected, Intel and GlobalFoundries will use 193nm immersi... » read more

The Week In Review: Manufacturing


Chipmakers The 2017 top-ten rankings of foundries remain the same as last year, according to TrendForce. TSMC, GlobalFoundries and United Microelectronics Corp. (UMC) rank first, second, and third, respectively, in terms of projected sales in 2017, according to TrendForce. TSMC has a dominant market share of 55.9%. In the rankings, Samsung is in fourth place, followed in order by SMIC, TowerJa... » read more

Blog Review: Nov. 29


ANSYS' Robert Harwood offers a reminder that autonomous and assisted driving technology are still very much works in progress, and flawed ones at that. It will take an estimated 5 billion to 10 billion road miles to effectively train self-driving algorithms. So far, Google has logged about 3.5 million miles. Along the same lines, Mentor's Paul Johnston takes a look at the electric car market... » read more

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