Week In Review: Manufacturing, Test


Chipmakers TrendForce released its foundry rankings for the first quarter of 2019. TSMC is still the clear leader, followed in order by Samsung, GlobalFoundries and UMC, according to the firm. It was a tough quarter for all foundries. Samsung has rolled out its new High Bandwidth Memory (HBM2E) product. The new solution, called Flashbolt, is the industry’s first HBM2E to deliver a 3.2Gbps... » read more

Memory Tradeoffs Intensify in AI, Automotive Applications


The push to do more processing at the edge is putting a strain on memory design, use models and configurations, leading to some complex tradeoffs in designs across a variety of markets. The problem is these architectures are evolving alongside these new markets, and it isn't always clear how data will move across these chips, between devices, and between systems. Chip architectures are becom... » read more

The Importance Of Using The Right DDR SDRAM Memory


Selecting the right memory technology is often the most critical decision for achieving the optimal system performance. Designers continue to add more cores and functionality to their SoCs; however, increasing performance while keeping power consumption low and silicon footprint small remains a vital goal. DDR SDRAMs, DRAMs in short, meet these memory requirements by offering a dense, high-perf... » read more

2.5D, 3D Power Integrity


Chris Ortiz, principal applications engineer at ANSYS, zeroes in on some common issues that are showing up in 2.5D and 3D packaging, which were not obvious in the initial implementations of these packaging technologies. This includes everything from how to build a power delivery network to minimize the coupling between chips to dealing with variability and power integrity and placement of diffe... » read more

Hidden Signals: The Memories And Interfaces Enabling IoT, 5G, And AI


This IDC Technology Spotlight Report, sponsored by Rambus, highlights key, often hidden, memory and interface technologies that are enabling high performance electronic systems to serve the disruptive trends of the next decade like IoT, 5G, and Artificial Intelligence. The report discusses: Data and the importance of connectivity, both from the physical (analog) world to the digital wor... » read more

In-Memory Vs. Near-Memory Computing


New memory-centric chip technologies are emerging that promise to solve the bandwidth bottleneck issues in today’s systems. The idea behind these technologies is to bring the memory closer to the processing tasks to speed up the system. This concept isn’t new and the previous versions of the technology fell short. Moreover, it’s unclear if the new approaches will live up to their billi... » read more

Using Memory Differently


Chip architects are beginning to rewrite the rules on how to choose, configure and use different types of memory, particularly for chips with AI and some advanced SoCs. Chipmakers now have a number of options and tradeoffs to consider when choosing memories, based on factors such as the application and the characteristics of the memory workload, because different memory types work better tha... » read more

What’s the Right Path For Scaling?


The growing challenges of traditional chip scaling at advanced nodes are prompting the industry to take a harder look at different options for future devices. Scaling is still on the list, with the industry laying plans for 5nm and beyond. But less conventional approaches are becoming more viable and gaining traction, as well, including advanced packaging and in-memory computing. Some option... » read more

Top Tech Talks Of 2018


2018 shaped up to be a year of transition and inflection, sometimes in the same design. There were new opportunities in automotive, continued difficulties in scaling, and an explosion in AI and machine learning everywhere. Traffic numbers on stories give a snapshot of the most current trends, but with videos those trends are even more apparent because of the time invested in watching those v... » read more

Week In Review: Design, Low Power


Gyrfalcon Technology released a 22nm AI accelerator ASIC chip with embedded MRAM. The Lightspeeur 2802M includes 40MB of memory to support large or multiple AI models, such as image classification and voice identification, within a single chip. Manufactured by TSMC, target applications include IoT endpoints, cloud solutions, and autonomous vehicles. Arm expanded its line of automotive-focuse... » read more

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