Speeding Up AI With Vector Instructions


A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort. Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, elim... » read more

Performance and Power Tradeoffs At 7/5nm


Semiconductor Engineering sat down to discuss power optimization with Oliver King, CTO at Moortec; João Geada, chief technologist at Ansys; Dino Toffolon, senior vice president of engineering at Synopsys; Bryan Bowyer, director of engineering at Mentor, a Siemens Business; Kiran Burli, senior director of marketing for Arm's Physical Design Group; Kam Kittrell, senior product management group d... » read more

112G SerDes Reliability


Priyank Shukla, product marketing manager at Synopsys, digs into 112Gbps SerDes, why it’s important to examine the performance of these devices in the context of a system, what is acceptable channel loss, and how density can affect performance, power and noise. » read more

Early And Fine Virtual Binning


Not all chips are created equal, and this is viewed as both a blessing and a curse by semiconductor makers. On one hand, chips can be screened for certain attributes, and some of the chips can be sold for higher prices than others. On the other hand, variations in the production process cause silicon performance to greatly differ, leaving chip makers with a wide and somewhat unpredictable distr... » read more

Power And Performance Optimization At 7/5/3nm


Semiconductor Engineering sat down to discuss power optimization with Oliver King, CTO at Moortec; João Geada, chief technologist at Ansys; Dino Toffolon, senior vice president of engineering at Synopsys; Bryan Bowyer, director of engineering at Mentor, a Siemens Business; Kiran Burli, senior director of marketing for Arm's Physical Design Group; Kam Kittrell, senior product management group d... » read more

Power Impact At The Physical Layer Causes Downstream Effects


Data movement is rapidly emerging as one of the top design challenges, and it is being complicated by new chip architectures and physical effects caused by increasing density at advanced nodes and in multi-chip systems. Until the introduction of the latest revs of high-bandwidth memory, as well as GDDR6, memory was considered the next big bottleneck. But other compute bottlenecks have been e... » read more

High-Speed Signaling Drill-Down


Chip interconnect standards have received a lot of attention lately, with parallel versions proliferating for chiplets and serial versions moving to higher speeds. The lowliest characteristic of these interconnect schemes is the physical signaling format. Having been static at NRZ (non-return-to-zero) for decades, change is underway. “Multiple approaches are likely to emerge,” said Brig ... » read more

Designing The Next Big Things


The edge is a humongous opportunity for the semiconductor industry. The problem, despite its name, is that it's not a single thing. It will be comprised of thousands of different chips and systems, and very few will be sold in large volumes. The edge is the culmination of decades of improvement in power and performance, coupled with the architectural creativity that has exploded since the bene... » read more

Introducing Nanosheets Into Complementary-Field Effect Transistors (CFETs)


In our November 2019 blog [1], we discussed using virtual fabrication (SEMulator3D) to benchmark different process integration options for Complementary-FET (CFET) fabrication. CFET is a CMOS architecture that was proposed by imec in 2018 [2]. This architecture contains p- and n-MOSFET structures built on top of each other, instead of having them located side-by-side. In our previous blog, we r... » read more

What’s So Important About Processor Extensibility?


While the ability to extend a processor is nothing new, market dynamics are forcing a growing percentage of the industry to consider it a necessary part of their product innovation. From small IoT functions to massive data centers and artificial intelligence, the need to create an optimized processing platform is often the only way to get more performance or lower power out of the silicon area ... » read more

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