tag: machine learning

Turning Down The Power
By Jeff Dorsch - 11 Jan, 2018 - Comments: 0

Chip and system designers are giving greater weight to power issues these days. But will they inevitably hit a wall in accounting for ultra-low-power considerations? Performance, power, and area are the traditional attributes in chip design. Area was originally the main priority, with feature sizes constantly shrinking according to Moore's Law. Performance was in the saddle for many years. M... » read more

Machine Learning’s Growing Divide
By Brian Bailey - 11 Jan, 2018 - Comments: 7

[getkc id="305" kc_name="Machine learning"] is one of the hottest areas of development, but most of the attention so far has focused on the cloud, algorithms and GPUs. For the semiconductor industry, the real opportunity is in optimizing and packaging solutions into usable forms, such as within the automotive industry or for battery-operated consumer or [getkc id="76" kc_name="IoT"] products. ... » read more

Predictions: Markets And Drivers
By Brian Bailey - 11 Jan, 2018 - Comments: 0

Semiconductor Engineering received a record number of predictions this year. Some of them are just wishful thinking, but many are a lot more thoughtful and project what needs to happen for various markets or products to become successful. Those far reaching predictions may not fully happen within 2018, but we give everyone the chance to note the progress made towards their predictions at the en... » read more

Blog Review: Jan. 10
By Jesse Allen - 10 Jan, 2018 - Comments: 0

Rambus' Aharon Etengoff explains the Meltdown and Spectre CPU vulnerabilities and why they could negatively affect the semiconductor industry for decades. Cadence's Paul McLellan has an explainer on Meltdown and how it's an unintended consequence of a processor behaving as intended. Mentor's Ruben Ghulghazaryan and Jeff Wilson investigate using machine learning to predict post-deposition ... » read more

Packaging Challenges For 2018
By Mark LaPedus - 08 Jan, 2018 - Comments: 0

The IC packaging market is projected to see steady growth this year, amid ongoing changes in the landscape. The outsourced semiconductor assembly and test ([getkc id="83" kc_name="OSAT"]) industry, which provides third-party packaging and test services, has been consolidating for some time. So while sales rising, the number of companies is falling. In late 2017, for example, [getentity id="2... » read more

And The Winner Is…
By Brian Bailey - 21 Dec, 2017 - Comments: 0

Finding out what resonates with our readers is important, so each year I look back through the list of the best-read articles for the channels that I write for. While this simple strategy does favor articles published during the early part of the year, the fact that our readership continues to grow, partially offsets this bias. For example, in Low Power/High Performance (LPHP) a quarter of the ... » read more

Is Verification Falling Behind?
By Brian Bailey - 21 Dec, 2017 - Comments: 1

Every year that [getkc id="74" comment="Moore's Law"] is in effect means that the [getkc id="10" kc_name="verification"] task gets larger and more complex. At one extreme, verification complexity increases at the square of design complexity, but that assumes that every state in the design is usable and unique. On the other hand, verification has not had the luxury that comes with design reuse b... » read more

Silicon’s Long Game
By Ed Sperling - 18 Dec, 2017 - Comments: 0

The era of all-silicon substrates and copper wires may be coming to an end. Progress in the future increasingly depends on more exotic combinations of materials that are developed for specific applications. But after years of predicting the death of silicon, it appears those predictions may be premature. That's not always obvious, given the growing number of chemical combinations being creat... » read more

Will Fab Tool Boom Cycle Last?
By Mark LaPedus - 18 Dec, 2017 - Comments: 2

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

EDA Challenges Machine Learning
By Brian Bailey - 14 Dec, 2017 - Comments: 1

Over the past few years, [getkc id="305" kc_name="machine learning"] (ML) has evolved from an interesting new approach that allows computers to beat champions at chess and Go, into one that is touted as a panacea for almost everything. While there is clearly a lot of hype surrounding this, it appears that machine learning can produce a better outcome for many tasks in the EDA flow than even the... » read more

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