DRAM, 3D NAND Face New Challenges


It’s been a topsy-turvy period for the memory market, and it's not over. So far in 2020, demand has been slightly better than expected for the two main memory types — 3D NAND and DRAM. But now there is some uncertainty in the market amid a slowdown, inventory issues and an ongoing trade war. In addition, the 3D NAND market is moving toward a new technology generation, but some are enc... » read more

What Happened To Execute-in-Place?


Executing code directly from non-volatile memory, where it is stored, greatly simplifies compute architectures — especially for simple embedded devices like microcontrollers (MCUs). However, the divergence of memory and logic processes has made that nearly impossible today. The term “execute-in-place,” or ”XIP,” originated with the embedded NOR memory in MCUs that made XIP viable. ... » read more

Making Sense Of PUFs


As security becomes a principal design consideration, physically unclonable functions (PUFs) are seeing renewed interest as new players emerge onto the market. PUFs can play a central role in hardware roots of trust (HRoTs), but the messaging in the market can make it confusing to understand the different types of PUF as well as their pros and cons. PUFs leverage some uncertain aspect of som... » read more

NVM Reliability Challenges And Tradeoffs


This second of two parts looks at different memories and possible solutions. Part one can be found here. While various NVM technologies, such as PCRAM, MRAM, ReRAM and NRAM share similar high-level traits, their physical renderings are quite different. That provides each with its own set of challenges and solutions. PCRAM has had a fraught history. Initially released by Samsung, Micron, a... » read more

Memory Issues For AI Edge Chips


Several companies are developing or ramping up AI chips for systems on the network edge, but vendors face a variety of challenges around process nodes and memory choices that can vary greatly from one application to the next. The network edge involves a class of products ranging from cars and drones to security cameras, smart speakers and even enterprise servers. All of these applications in... » read more

Battling Persistent Hacks At The Flash Level


Hardware vendors are beginning to close up security vulnerabilities across a broader range of technology than in the past, a sign that they are taking potential hardware breaches much more seriously. Awareness of security flaws has been growing since the introduction of Meltdown, Spectre and Foreshadow, and more recently, the Cable Haunt attack. The general conclusion among chipmakers is tha... » 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

Embedded Phase-Change Memory Emerges


The next-generation memory market for embedded applications is becoming more crowded as another technology emerges in the arena—embedded phase-change memory. Phase-change memory is not new and has been in the works for decades. But the technology has taken longer to commercialize amid a number of technical and cost challenges. Phase-change memory, a nonvolatile memory type that stores data... » read more

Embedded Flash Scaling Limits


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

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

← Older posts