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Hybrid Memory


Gary Bronner, senior vice president of Rambus Labs, talks about the future of DRAM scaling, why one type of memory won’t solve all needs, and what the pros and cons are of different memories. https://youtu.be/R0hhDx2Fb7Q » read more

Processing In Memory


Adding processing directly into memory is getting a serious look, particularly for applications where the volume of data is so large that moving it back and forth between various memories and processors requires too much energy and time. The idea of inserting processors into memory has cropped up intermittently over the past decade as a possible future direction, but it was dismissed as an e... » read more

Huge Performance Gains Ahead


Rambus Chief Scientist Craig Hampel talks about what will drive the next big performance gains after Moore’s Law, from the data center to the edge. https://youtu.be/ItHCsei7YTc » read more

Carbon Nanotube DRAM


An IP design house has developed a scalable DRAM replacement using carbon nanotubes (CNTs) that abolishes the DRAM refresh rate, stores the content permanently, has better timing than DRAM and is scalable. And it lasts for somewhere between 300 and 12,000 years. “Carbon nanotube memory—it sounds so sexy that I could just shut up and not say anything,” said Bill Gervasi, principal syste... » read more

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

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