China Speeds Up Advanced Chip Development


China is accelerating its efforts to advance its domestic semiconductor industry, amid ongoing trade tensions with the West, in hopes of becoming more self-sufficient. The country is still behind in IC technology and is nowhere close to being self-reliant, but it is making noticeable progress. Until recently, China’s domestic chipmakers were stuck with mature foundry processes with no pres... » read more

Essential DDR5 Features Designers Must Know


JEDEC has defined and developed three DDR standards – standard DDR, mobile DDR, and graphic DDR – to help designers meet their memory requirements. DDR5 will support a higher data rate (up to 6400 Mb/s) at a lower I/O Voltage (1.1V) and a higher density (based on 16Gb DRAM dies) than DDR4. DDR5 DRAMs and dual-inline memory modules (DIMMs) are expected to hit the market in 2020. This article... » read more

The Good And Bad Of Chiplets


The chiplet model continues to gain traction in the market, but there are still some challenges to enable broader support for the technology. AMD, Intel, TSMC, Marvell and a few others have developed or demonstrated devices using chiplets, which is an alternative way to develop an advanced design. Beyond that, however, the adoption of chiplets is limited in the industry due to ecosystem issu... » read more

Challenges In Stacking, Shrinking And Inspecting Next-Gen Chips


Rick Gottscho, CTO of Lam Research, sat down with Semiconductor Engineering to discuss memory and equipment scaling, new market demands, and changes in manufacturing being driven by cost, new technologies, and the application of machine learning. What follows are excerpts of that conversation. SE: We have a lot of different memory technologies coming to market. What's the impact of that? ... » read more

Compute-In Memory Accelerators Up-End Network Design Tradeoffs


An explosion in the amount of data, coupled with the negative impact on performance and power for moving that data, is rekindling interest around in-memory processing as an alternative to moving data back and forth between the memory and the processor. Compute-in-memory (CIM) arrays based on either conventional memory elements like DRAM and NAND flash, as well as emerging non-volatile memori... » read more

An Inside Look At Testing’s Leading Edge


Mike Slessor, president and CEO of FormFactor, sat down with Semiconductor Engineering to discuss testing of AI and 5G chips, and why getting power into a chip for testing is becoming more difficult at each new node. SE: How does test change with AI chips, where you've got massive numbers of accelerators and processors developed at 7 and 5nm? Slessor: A lot of the AI stuff that we've been... » read more

DDR PHY Training


Brett Murdock, senior product marketing manager at Synopsys, explains how to train the DRAM physical layer using firmware, why that is so important for flexibility, and what kinds of issues engineers encounter when using this approach. » 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

What Is DRAM’s Future?


Memory — and DRAM in particular — has moved into the spotlight as it finds itself in the critical path to greater system performance. This isn't the first time DRAM has been the center of attention involving performance. The problem is that not everything progresses at the same rate, creating serial bottlenecks in everything from processor performance to transistor design, and even the t... » read more

AI Requires Tailored DRAM Solutions


For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. Each generation of hardware required DRAM to hit new benchmarks in bandwidth, latency, power or capacity. Looking ahead, the 2020s will be the decade of artificial intelligence/machine learning (AI/ML) touching every industry and applicatio... » read more

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