category: Top Stories

category: Auto, Security & Edge AI

RISC-V Gains Its Footing
By Ann Mutschler - 26 Feb, 2018 - Comments: 3

The RISC-V instruction-set architecture, which started as a UC Berkeley project to improve energy efficiency, is gaining steam across the industry. The RISC-V Foundation's member roster gives an indication who is behind this effort. Members include Google, Nvidia, Qualcomm, Rambus, Samsung, NXP, Micron, IBM, GlobalFoundries, UltraSoC, Siemens, among many others. One of the key markets for... » read more

Debugging Debug
By Brian Bailey - 22 Feb, 2018 - Comments: 2

There appears to be an unwritten law about the time spent in debug-it is a constant. It could be that all gains made by improvements in tools and methodologies are offset by increases in complexity, or that the debug process causes design teams to be more conservative. It could be that no matter how much time spent on debug, the only thing accomplished is to move bugs to places that are less... » read more

Using Data Mining Differently
By Ann Mutschler - 22 Feb, 2018 - Comments: 0

The semiconductor industry generates a tremendous quantity of data, but until very recently engineers had to sort through it on their own to spot patterns, trends and aberrations. That's beginning to change as chipmakers develop their own solutions or partner with others to effectively mine this data. Adding some structure and automation around all of this data is long overdue. Data mining h... » read more

Verification Of Functional Safety (Part 2)
By Brian Bailey - 22 Feb, 2018 - Comments: 0

The automotive industry is grappling with a tradeoff between cost and safety. Safety is well understood in industries that are cost-insensitive, such as aerospace and medical, and the consumer industry has a long track record of driving down costs while increasing functionality. But can these two industries be brought together in a safe and effective manner to enable automobiles to achieve the ... » read more

Deep Learning Spreads
By Ed Sperling - 31 Jan, 2018 - Comments: 0

Deep learning is gaining traction across a broad swath of applications, providing more nuanced and complex behavior than machine learning offers today. Those attributes are particularly important for safety-critical devices, such as assisted or autonomous vehicles, as well as for natural language processing where a machine can recognize the intent of words based upon the context of a convers... » read more

Giant Auto Industry Disruption Ahead
By Ed Sperling - 29 Jan, 2018 - Comments: 5

The move to self-driving vehicles over the next decade or so will result in a massive restructuring of entire segments of the global economy that have evolved to create and support automobiles and the people who drive them. The shift will create many new jobs-particularly for semiconductors and electronic systems-and conservatively it will eliminate hundreds of thousands of existing ones. It... » read more

Verification Of Functional Safety
By Brian Bailey - 25 Jan, 2018 - Comments: 4

Functional safety is becoming a key part of chip design, and an increasingly problematic one for many engineering teams. Functional safety for electrical and electronic systems is nothing new. It has been an important element of the military, aerospace and medical industries for many years. But the growing importance of functional safety within the automobile industry presents a number o... » read more

7/5nm Timing Closure Intensifies
By Ann Mutschler - 25 Jan, 2018 - Comments: 1

Timing closure issues are increasing in magnitude at 7/5nm, and ones that were often considered minor in the past no longer can be ignored. Timing closure is an essential part of any chip design. The process ensures that all combinatorial paths through a design meet the necessary timing so that it can run reliably at a specified clock rate. Timing closure hasn't changed significantly over th... » read more

Predictions: Methodologies And Tools
By Brian Bailey - 25 Jan, 2018 - Comments: 0

Predictions are divided into four posts this year. Part one covered markets and drivers. The second part looked at manufacturing, devices and companies and this part will cover methodologies and tools. In addition, the outlook from EDA executives will be provided in a separate post. Intellectual property As designs get larger, it should be no surprise that the size of the [getkc id="43" kc_... » read more

Could Liquid IP Lead To Better Chips? (Part 3)
By Brian Bailey - 09 Jan, 2018 - Comments: 0

Semiconductor Engineering sat down to discuss the benefits that could come from making IP available as abstract blocks instead of RTL implementations with Mark Johnstone, technical director for Electronic Design Automation for [getentity id="22499" e_name="NXP"] Semiconductor; [getperson id="11489" p_name="Drew Wingard"], CTO at [getentity id="22605" e_name="Sonics"]; Bryan Bowyer, director of ... » read more

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