tag: Nvidia

Blockchain: Hype, Reality, Opportunities
By Susan Breidenbach - 04 Jan, 2018 - Comments: 4

Blockchain buzz has reached deafening levels, and its proponents say we haven’t heard anything yet. The blockchain-enabled transformations they describe make the Internet revolution look almost trivial. Critics argue that too many people drank the blockchain Kool-Aid. Outside the cryptocurrency arena, they say that blockchain amounts to little more than some really slick slideware. The ... » read more

DAC System Design Contest
By Sharon Hu - 20 Dec, 2017 - Comments: 0

When it comes to tackling leading-edge design challenges in fun ways, there’s no better place than DAC. For DAC 2018, we’ve created a System Design Contest targeting machine learning on embedded hardware. If you think this is too leading edge for a design contest, you’d be mistaken: More than 100 teams registered for the contest. You can find a full list of the teams here. So ho... » read more

Blog Review: Dec. 20
By Jesse Allen - 20 Dec, 2017 - Comments: 0

Mentor's Andrew Macleod points out five things that need to happen for autonomous and electric cars to move from R&D and test cases to mass-produced, commercially viable vehicles. Synopsys' Iain Singleton provides some tips on tackling large designs with formal and how the assume-guarantee technique helps split them without masking bugs. Cadence's Paul McLellan shares updates from the... » read more

The Week In Review: Manufacturing
By Mark LaPedus - 08 Dec, 2017 - Comments: 0

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

Hyperscaling The Data Center
By Kevin Fogarty - 07 Dec, 2017 - Comments: 1

Enterprise data centers increasingly will look and behave more like slimmed-down versions of hyperscale data centers as chipmakers and other suppliers adapt systems developed for their biggest customers to in-house IT faciilities. The new chips and infrastructure that will serve as building blocks in these facilities will be more power-efficient, make better use of space and generate less he... » read more

Blog Review: Dec. 6
By Jesse Allen - 06 Dec, 2017 - Comments: 0

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

System Bits: Dec. 5
By Ann Mutschler - 05 Dec, 2017 - Comments: 0

[caption id="attachment_429586" align="aligncenter" width="300"] Vivienne Sze, an associate professor of electrical engineering and computer science at MIT. Source: MIT[/caption] Building deep learning hardware A new course at MIT is bringing together both electrical engineering and computer science to educate student in the highly sought after field of deep learning. Vivienne Sze, an assoc... » read more

The New Road Warriors
By Jeff Dorsch - 27 Nov, 2017 - Comments: 0

Chip vendors and other companies that have little or no experience in automotive are flooding into this market as the race for assisted and autonomous driving begins to heat up. This market is expected to pay big dividends for companies that succeed in helping to build the vehicles of the future in this century. IC Insights earlier this year forecast the auto chip market would grow 22% this ... » read more

The Week In Review: Manufacturing
By Mark LaPedus - 17 Nov, 2017 - Comments: 0

Market research For some time, DRAM shortages have plagued the market. Today, the situation remains the same. DRAMs are seeing strong demand. But yet, vendors are not adding any capacity. “Strained DRAM supply was even more evident during the third quarter as limited production capacity and limited technological progress for the memory industry encountered robust demand from data centers in ... » read more

The Next Phase Of Machine Learning
By Kevin Fogarty - 09 Nov, 2017 - Comments: 0

Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

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