Solving The Memory Bottleneck


Chipmakers are scrambling to solve the bottleneck between processor and memory, and they are turning out new designs based on different architectures at a rate no one would have anticipated even several months ago. At issue is how to boost performance in systems, particularly those at the edge, where huge amounts of data need to be processed locally or regionally. The traditional approach ha... » read more

New Security Risks Create Need For Stealthy Chips


Semiconductors are becoming more vulnerable to attacks at each new process node due to thinner materials used to make these devices, as well as advances in equipment used to simulate how those chips behave. Thinner chips are now emitting light, electromagnetic radiation and various other types of noise, which can be observed using infrared and acoustic sensors. In addition, more powerful too... » read more

The Race To Next-Gen 2.5D/3D Packages


Several companies are racing each other to develop a new class of 2.5D and 3D packages based on various next-generation interconnect technologies. Intel, TSMC and others are exploring or developing future packages based on one emerging interconnect scheme, called copper-to-copper hybrid bonding. This technology provides a way to stack advanced dies using copper connections at the chip level,... » read more

Chiplets, Faster Interconnects, More Efficiency


Big chipmakers are turning to architectural improvements such as chiplets, faster throughput both on-chip and off-chip, and concentrating more work per operation or cycle, in order to ramp up processing speeds and efficiency. Taken as a whole, this represents a significant shift in direction for the major chip companies. All of them are wrestling with massive increases in processing demands ... » read more

The Next New Memories


Several next-generation memory types are ramping up after years of R&D, but there are still more new memories in the research pipeline. Today, several next-generation memories, such as MRAM, phase-change memory (PCM) and ReRAM, are shipping to one degree or another. Some of the next new memories are extensions of these technologies. Others are based on entirely new technologies or involve ar... » read more

Power Is Limiting Machine Learning Deployments


The total amount of power consumed for machine learning tasks is staggering. Until a few years ago we did not have computers powerful enough to run many of the algorithms, but the repurposing of the GPU gave the industry the horsepower that it needed. The problem is that the GPU is not well suited to the task, and most of the power consumed is waste. While machine learning has provided many ... » read more

Node Within A Node


Enough margin exists in manufacturing processes to carve out the equivalent of a full node of scaling, but shrinking that margin will require a collective push across the entire semiconductor manufacturing supply chain. Margin is built into manufacturing at various stages to ensure that chips are manufacturable and yield sufficiently. It can include everything from variation in how lines are... » read more

5nm Vs. 3nm


Foundry vendors are readying the next wave of advanced processes, but their customers will face a myriad of confusing options—including whether to develop chips at 5nm, wait until 3nm, or opt for something in between. The path to 5nm is well-defined compared with 3nm. After that, the landscape becomes more convoluted because foundries are adding half-node processes to the mix, such as 6nm ... » read more

Why Chips Are Getting Noisier


In the past, designers only had to worry about noise for sensitive analog portions of a design. Digital circuitry was immune. But while noise gets worse at newer process nodes, staying at 28nm does not mean that it can be ignored anymore. With Moore's Law slowing, designs have to do more with less. Margins are being squeezed, additional concurrency is added, and attempts are made to opti... » read more

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

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