In-Memory Computing Challenges Come Into Focus


For the last several decades, gains in computing performance have come by processing larger volumes of data more quickly and with superior precision. Memory and storage space are measured in gigabytes and terabytes now, not kilobytes and megabytes. Processors operate on 64-bit rather than 8-bit chunks of data. And yet the semiconductor industry’s ability to create and collect high quality ... » read more

Power/Performance Bits: Jan. 22


Efficient neural net training Researchers from the University of California San Diego and Adesto Technologies teamed up to improve neural network training efficiency with new hardware and algorithms that allow computation to be performed in memory. The team used an energy-efficient spiking neural network for implementing unsupervised learning in hardware. Spiking neural networks more closel... » read more

What’s the Right Path For Scaling?


The growing challenges of traditional chip scaling at advanced nodes are prompting the industry to take a harder look at different options for future devices. Scaling is still on the list, with the industry laying plans for 5nm and beyond. But less conventional approaches are becoming more viable and gaining traction, as well, including advanced packaging and in-memory computing. Some option... » read more

Hybrid Memory


Gary Bronner, senior vice president of Rambus Labs, talks about the future of DRAM scaling, why one type of memory won’t solve all needs, and what the pros and cons are of different memories. https://youtu.be/R0hhDx2Fb7Q » read more

The Week In Review: Design


M&A IoT-focused memory chipmaker Adesto Technologies acquired S3 Semiconductors, a provider of mixed-signal and RF ASICs and IP. Based in Ireland, S3 Semiconductors was founded in 1986. S3 Semiconductors will become a business unit of Adesto and will continue to operate under its current model in the $35 million deal. S3 Semiconductor's parent company, S3 Group, will continue as a separate... » read more

What If We Had Bi-Directional RRAM?


The ideal memristor device for neuromorphic computing would have linear and symmetric resistance behavior. Resistance would both increase and decrease gradually, allowing a direct correlation between the number of programming pulses and the resistance value. Real world RRAM devices, however, generally do not have these characteristics. In filamentary RRAM devices, the RESET operation can raise ... » read more

What’s Next In Neuromorphic Computing


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

Power/Performance Bits: July 11


3D chip integrates computing, storage Researchers at Stanford University and MIT developed a prototype 3D chip that integrates computation and data storage, based on carbon nanotubes and resistive RAM (RRAM) cells. The researchers integrated over 1 million RRAM cells and 2 million carbon nanotube FETs, making what the team says is the most complex nanoelectronic system ever made with emergi... » read more

New Memories And Architectures Ahead


Memory dominates many SoCs, and it is rare to hear that a design contains too much memory. However, memories consume a significant percentage of system power, and while this may not be a critical problem for many systems, it is a bigger issue for Internet of Things ([getkc id="76" kc_name="IoT"]) edge devices where total energy consumption is very important. Memory demands are changing in al... » read more

Tech Talk: Embedded Memories


Dave Eggleston, vice president of embedded memory at GlobalFoundries, talks about the pros and cons of new types of embedded memory, including which work best for certain applications and with various advanced packaging options. [youtube vid=7D9zoA9FFIw] » read more

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