ML Opening New Doors For FPGAs


FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those of more conventional solutions. This opens up a hot new market for FPGAs, which traditionally have been hard to sustain in high-volume production due to pricing, and hard to use for battery-dri... » read more

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

Design For Narrowband IoT


Most low-power chips are designed with the assumption that batteries can be recharged or replaced, but there is a whole set of IoT devices under development that are expected to be always-on, communicate over a cellular infrastructure, and remain functional on a coin-sized lithium-ion battery for a decade or more. Welcome to the world of Narrowband IoT (NB-IoT), a 3GPP standard (also known a... » read more

DDR5: The Next-Generation Technology For High Performance Computing


The rapid growth in real-time data requirements for cloud services, IoT, high-performance servers and workstations, hyperscale data centers and big data has increased pressure on memory suppliers to improve memory density and speed. This pressure has resulted in a need for new memory technology that goes beyond the current DDR4 limit of 16 Gb single die capacity and speed of 3200MT/s. Click ... » 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

Taking A Pulse On The IC Biz


It’s been a difficult period for the semiconductor industry. The coronavirus outbreak has put a damper on what was supposed to be a strong year in the semiconductor industry in 2020. Many are holding out hopes for a rebound in the second half of the year. That’s still a big unknown. The forecasts are gloomy. For example, VLSI Research has three different scenarios for the semiconduc... » read more

Power Becomes Bigger Concern For Embedded Processors


Power is emerging as the dominant concern for embedded processors even in applications where performance is billed as the top design criteria. This is happening regardless of the end application or the process node. In some high-performance applications, power density and thermal dissipation can limit how fast a processor can run. This is compounded by concerns about cyber and physical secur... » 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

2.5D Architecture Answers AI Training’s Call for “All of the Above”


The impact of AI/ML grows daily impacting every industry and touching the lives of everyone. In marketing, healthcare, retail, transportation, manufacturing and more, AI/ML is a catalyst for great change. This rapid advance is powerfully illustrated by the growth in AI/ML training capabilities which have since 2012 grown by a factor of 10X every year. Today, AI/ML neural network training mod... » read more

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