tag: DRAM

Top Tech Talks Of 2018
By Linda Christensen - 31 Dec, 2018 - Comments: 0

2018 shaped up to be a year of transition and inflection, sometimes in the same design. There were new opportunities in automotive, continued difficulties in scaling, and an explosion in AI and machine learning everywhere. Traffic numbers on stories give a snapshot of the most current trends, but with videos those trends are even more apparent because of the time invested in watching those v... » read more

Week In Review: Design
By Ed Sperling - 28 Dec, 2018 - Comments: 0

Deals eSilicon teamed up with Sunflower Mission once again to present 59 university scholarships for engineering and technology students in Vietnam. Foxconn, the huge Taiwanese contract manufacturer (aka Hon Hai Precision Industry), already announced plans to build a chip plant in Zhuhai, outside of Hong Kong. Now it has developed plans to assemble high-end iPhones in India next year. What'... » read more

Fab Equipment Challenges For 2019
By Mark LaPedus - 17 Dec, 2018 - Comments: 0

After a period of record growth, the semiconductor equipment industry is facing a slowdown in 2019, in addition to several technical challenges that still need to be resolved. Generally, the equipment industry saw enormous demand in 2017, and the momentum extended into the first part of 2018. But then the memory market began deteriorating in the middle of this year, causing both DRAM and NAND ... » read more

Foundries See Growth, New Issues In 2019
By Mark LaPedus - 17 Dec, 2018 - Comments: 0

The silicon foundry business is poised for growth in 2019, although the industry faces several challenges across a number of market segments next year. Generally, foundry vendors saw steady growth in 2018, but many are ending the year on a sour note. Weak demand for Apple’s new iPhone XR and a downturn in the cryptocurrency market have impacted several IC suppliers and foundries, causing t... » read more

What’s Changing In Memory
By Gill Lee - 17 Dec, 2018 - Comments: 0

As emerging big data and artificial intelligence (AI) applications, including machine learning, drive innovations across many industries, the issue of how to advance memory technologies to meet evolving computing requirements presents several challenges for the industry. The mainstream memory technologies, DRAM and NAND flash, have long been reliable industry workhorses, each optimized for s... » read more

Mixed Outlook For Fab Equipment
By Christian Dieseldorff - 17 Dec, 2018 - Comments: 0

As 2018 dawned, the semiconductor industry appeared to be poised for a rare fourth consecutive year of equipment investment growth. That rosy outlook is about to change as clouds gather in what until now has been the sunny sky. The latest edition of the World Fab Forecast Report, published by SEMI in December 2018, reveals a downward revision of total fab equipment spending growth for 2018 ... » read more

Making Sense Of DRAM
By Ed Sperling - 13 Dec, 2018 - Comments: 0

Graham Allan, senior manager for product marketing at Synopsys, examines the different types of DRAM, from GDDR to HBM, which markets they’re used in, and why there is such disparity between them. https://youtu.be/ynvcPfD2cZU     __________________________________ See more tech talk videos here. » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 30 Nov, 2018 - Comments: 0

Chipmakers GlobalFoundries has announced that its advanced silicon-germanium (SiGe) offering is available for prototyping on 300mm wafers. GF’s SiGe technology has been shipping on its 200mm production line in Burlington, Vt. The technology, a 90nm SiGe process, is moving to 300mm wafers at GF’s Fab 10 facility in East Fishkill, N.Y. The SiGe technology is called 9HP. “The increasing ... » read more

Looking Beyond The CPU
By Brian Bailey - 29 Nov, 2018 - Comments: 0

CPUs no longer deliver the same kind of of performance improvements as in the past, raising questions across the industry about what comes next. The growth in processing power delivered by a single CPU core began stalling out at the beginning of the decade, when power-related issues such as heat and noise forced processor companies to add more cores rather than pushing up the clock frequency... » read more

AI Chip Architectures Race To The Edge
By Kevin Fogarty - 28 Nov, 2018 - Comments: 0

As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

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