Foundries Prepare For Battle At 22nm

By Mark LaPedus - 19 Nov, 2018 - Comments: 0

After introducing new 22nm processes over the last year or two, foundries are gearing up the technology for production—and preparing for a showdown. GlobalFoundries, Intel, TSMC and UMC are developing and/or expanding their efforts at 22nm amid signs this node could generate substantial business for applications like automotive, IoT and wireless. But foundry customers face some tough choic... » read more

Memory Startups To Watch

By Mark LaPedus - 16 Aug, 2018 - Comments: 0

The next-generation memories are finally ramping up after years’ of delays and promises. Intel, for one, is shipping 3D XPoint, a next-generation technology based on phase-change memory. In addition, the big foundries are readying embedded MRAM. And, of course, there are a number of other players in the next-generation memory arena. There are also a number of startups that are flying un... » read more

Next-Gen Memory Ramping Up

By Mark LaPedus - 16 Aug, 2018 - Comments: 6

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

Embedded Flash Scaling Limits

By Mark LaPedus - 19 Jul, 2018 - Comments: 3

Embedded nonvolatile flash memory has played a key role in chips for years, but the technology is beginning to face some scaling and cost roadblocks and it’s not clear what comes next. Embedded flash is used in several markets, such as automotive, consumer and industrial. But the automotive sector appears to be the most concerned about the future of the technology. Typically, a car incorpo... » read more

What’s Next In Neuromorphic Computing

By Katherine Derbyshire - 15 Feb, 2018 - Comments: 2

To integrate devices into functioning systems, it's necessary to consider what those systems are actually supposed to do. Regardless of the application, [getkc id="305" kc_name="machine learning"] tasks involve a training phase and an inference phase. In the training phase, the system is presented with a large dataset and learns how to "correctly" analyze it. In supervised learning, the data... » read more

A New Memory Contender?

By Mark LaPedus - 02 Jan, 2018 - Comments: 1

Momentum is building for a new class of ferroelectric memories that could alter the next-generation memory landscape. Generally, ferroelectrics are associated with a memory type called ferroelectric RAMs (FRAMs). Rolled out by several vendors in the late 1990s, FRAMs are low-power, nonvolatile devices, but they are also limited to niche applications and unable to scale beyond 130nm. While... » read more

The Next 5 Years Of Chip Technology

By Ed Sperling - 18 Dec, 2017 - Comments: 0

Semiconductor Engineering sat down to discuss the future of scaling, the impact of variation, and the introduction of new materials and technologies, with Rick Gottscho, CTO of [getentity id="22820" comment="Lam Research"]; Mark Dougherty, vice president of advanced module engineering at [getentity id="22819" comment="GlobalFoundries"]; David Shortt, technical fellow at [getentity id="22876" co... » read more

Pushing DRAM’s Limits

By Kevin Fogarty - 14 Dec, 2017 - Comments: 1

If humans ever do create a genuinely self-aware artificial intelligence, it may well exhibit the frustration of waiting for data arrive. The access bandwidth of DRAM-based computer memory has improved by a factor of 20x over the past two decades. Capacity increased 128x during the same period. But latency improved only 1.3x, according to Kevin Chang, a researcher at Carnegie Mellon Universit... » read more

3D Neuromorphic Architectures

By Katherine Derbyshire - 11 Dec, 2017 - Comments: 1

Matrix multiplication is a critical operation in conventional neural networks. Each node of the network receives an input signal, multiplies it by some predetermined weight, and passes the result to the next layer of nodes. While the nature of the signal, the method used to determine the weights, and the desired result will all depend on the specific application, the computational task is simpl... » read more

Memory Test Challenges, Opportunities

By Jeff Dorsch - 18 Oct, 2017 - Comments: 0

The semiconductor capital equipment market is on fire, and the memory chip test equipment sector is no different. But it is getting much more difficult on the memory side. Memory test vendors are contending with next-generation devices, such as 3D NAND flash memories, HBM2 chips, low-power double-data-rate DRAMs, graphics DRAMs, phase-change memories, magnetoresistive RAMs, and resistive RAM... » read more

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Knowledge Centers
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eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

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