Next-Gen Memory Ramping Up


The next-generation memory market is heating up as vendors ramp a number of new technologies, but there are some challenges in bringing these products into the mainstream. For years, the industry has been working on a variety of memory technologies, including carbon nanotube RAM, FRAM, MRAM, phase-change memory and ReRAM. Some are shipping, while others are in R&D. Each memory type is di... » read more

High-Performance Memory At Low Cost Per Bit


Hardware developers of deep learning neural networks (DNN) have a universal complaint – they need more and more memory capacity with high performance, low cost and low power. As artificial intelligence (AI) techniques gain wider adoption, their complexity and training requirements also increase. Large and complex DNN models do not fit on the small on-chip SRAM caches near the processor. This ... » read more

Hardware Security Threat Rising


Martin Scott, senior vice president and CTO of Rambus, sat down with Semiconductor Engineering to talk about an increasing problem with security, what's driving it, and why hardware is now part of the growing attack surface. What follows are excerpts of that conversation. SE: With Meltdown and Spectre, the stakes have changed because the focus is not on using hardware to get to software. It'... » read more

Mixed Outlook For Semi Biz


Both the IC and fab equipment industries have been enjoying a boom cycle for some time, but they could be facing speed bumps and possibly turbulence in the second half of this year and into 2019. In the first half of 2018, the industry was fueled by the momentum carried over from 2017. DRAM prices remained relatively high, which contributed to the revenue growth in the overall IC industry. M... » read more

Etch Techniques for Next-Generation Storage-Class Memory


Chipmakers make abundant use of two very different functional classes of memory in their products. For operational use (main/primary memory) where speed is critical, DRAM and SRAM are employed, whereas for long-term storage, flash memory – in particular NAND – provides the high capacity at low cost needed. For both classes, efforts to improve speed, capacity, and power usage are ongoing. To... » read more

Defining Edge Memory Requirements


Defining edge computing memory requirements is a growing problem for chipmakers vying for a piece of this market, because it varies by platform, by application, and even by use case. Edge computing plays a role in artificial intelligence, automotive, IoT, data centers, as well as wearables, and each has significantly different memory requirements. So it's important to have memory requirement... » read more

Tech Talk: HBM vs. GDDR6


Frank Ferro, senior director of product management at Rambus, talks about memory bottlenecks and why both GDDR6 and high-bandwidth memory are gaining steam and for which markets. https://youtu.be/CPqdZZooS2g » read more

Architecture, Materials And Software


AI, machine learning and autonomous vehicles will require massive improvements in performance, at the same power consumption level (or better), over today's chips. But it's obvious that the usual approach of shrinking features to improve power/performance isn't going to be sufficient. Scaling will certainly help, particularly on the logic side. More transistors are needed to process a huge i... » read more

High-Performance Memory Challenges


Designing memories for high-performance applications is becoming far more complex at 7/5nm. There are more factors to consider, more bottlenecks to contend with, and more tradeoffs required to solve them. One of the biggest challenges is the sheer volume of data that needs to be processed for AI, machine learning or deep learning, or even in classic data center server racks. “The design... » read more

Do Superconducting Processors Really Need Cryogenic Memories?


Cryogenic, superconducting digital processors offer the promise of greatly reduced operating power for server-class computing systems. This is due to the exceptionally low energy per operation of Single Flux Quantum circuits built from Josephson junction devices operating at the temperature of 4 Kelvin. Unfortunately, no suitable same-temperature memory technology yet exists to complement these... » read more

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