Big Shifts In Big Data


The big data market is in a state of upheaval as companies begin shifting their data strategies from "nothing" or "everything" in the cloud to a strategic mix, squeezing out middle-market players and changing what gets shared, how that data is used, and how best to secure it. This has broad implications for the whole semiconductor supply chain, because in many cases it paves the way for ... » read more

Edge Complexity To Grow For 5G


Edge computing is becoming as critical to the success of 5G as millimeter-wave technology will be to the success of the edge. In fact, it increasingly looks as if neither will succeed without the other. 5G networks won’t be able to meet 3GPP’s 4-millisecond-latency rule without some layer to deliver the data, run the applications and broker the complexities of multi-tier Internet apps ac... » read more

Google Cloud—A View From The Top


I recently had the opportunity to attend a retreat-style event in Napa Valley hosted by the Google Cloud team. Like many such events I’ve attended over the years, the guests were treated to excellent accommodations, fabulous food, a good amount of free time for networking or to partake in activities, relevant and on-point presentations and world-class wine (this is Napa Valley after all). All... » read more

Verification In The Cloud


Christen Decoin, senior director of business development at Synopsys, talks with Semiconductor Engineering about what’s changed for EDA in the cloud, why it has taken so long, and what new benefits the cloud will offer. Rules have changed at foundries, and the customer base for designs is evolving. » read more

Wrestling With High-Speed SerDes


SerDes has emerged as the primary solution in chips where there is a need for fast data movement and limited I/O, but this technology is becoming significantly more challenging to work with as speeds continue to rise to offset the massive increase in data. A Serializer/Deserializer is used to convert parallel data into serial data, allowing designers to speed up data communication without h... » read more

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

Designing In The Cloud


Amazon AWS was launched back in 2006. Web based services such as Netflix and Expedia were early adopters, and AWS has grown rapidly, bringing in competition from Google (GCP), Microsoft (Azure) and others. It has taken a while for the design community to embrace the ‘cloud’ as some of the needs and concerns of design teams are different.  Cloud vendors have recognized this untapped market ... » read more

Is ADAS The Edge?


Debate is brewing over whether ADAS applications fall on the edge, or if they are better viewed squarely within the context of the automotive camp. There is more to this discussion than just semantics. The edge represents a huge greenfield opportunity for electronics of all sorts, and companies from the mobile market and from the cloud are both rushing to stake their claim. At this point the... » read more

Bottlenecks For Edge Processors


New processor architectures are being developed that can provide two to three orders of magnitude improvement in performance. The question now is whether the performance in systems will be anything close to the processor benchmarks. Most of these processors doing one thing very well. They handle specific data types and can accelerate the multiply-accumulate functions for algorithms by distri... » read more

New Challenges For Data Centers


Rita Horner, senior technical marketing manager in Synopsys’ Solutions Group, looks at the impact of a significant rise in data, why this often leads to big cost increases, and where the bottlenecks are occurring. » read more

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