A Machine-Learning-Resistant 3D PUF with 8-layer Stacking Vertical RRAM and 0.014% Bit Error Rate Using In-Cell Stabilization Scheme for IoT Security Applications


Abstract: "In this work, we propose and demonstrate a multi-layer 3-dimensional (3D) vertical RRAM (VRRAM) PUF with in-cell stabilization scheme to improve both cost efficiency and reliability. An 8-layer VRRAM array was manufactured with excellent uniformity and good endurance of >10 7 . Apart from the variation in RRAM resistance, enhanced randomness is obtained thanks to the parasitic IR... » read more

Manufacturing Bits: Feb. 2


Capacitor-less DRAM At the recent 2020 International Electron Devices Meeting (IEDM), Imec presented a paper on a novel capacitor-less DRAM cell architecture. DRAM is used for main memory in systems, and today’s most advanced devices are based on roughly 18nm to 15nm processes. The physical limit for DRAM is somewhere around 10nm. DRAM itself is based on a one-transistor, one-capacito... » read more

Spiking Neural Networks: Research Projects or Commercial Products?


Spiking neural networks (SNNs) often are touted as a way to get close to the power efficiency of the brain, but there is widespread confusion about what exactly that means. In fact, there is disagreement about how the brain actually works. Some SNN implementations are less brain-like than others. Depending on whom you talk to, SNNs are either a long way away or close to commercialization. Th... » read more

Taming Novel NVM Non-Determinism


New memory technologies may have non-deterministic characteristics that add calibration to the test burden — and may require recalibration during their lifetime. Many of these memories are in development as a result of the search for a storage-class memory (SCM) technology that can bridge the gap between larger, slower memories like flash and faster DRAM memory. There are several approache... » read more

In-Memory Computing


Gideon Intrater, CTO at Adesto Technologies, talks about why in-memory computing is now being taken seriously again, years after it was first proposed as a possible option. What's changed is an explosion in data, and a recognition that it's too time- and energy-intensive to send all of that data back and forth between memories and processors on the same chip, let alone to the cloud and back. On... » read more

(R)evolution of the 56th Design Automation Conference Technical Program


The Design Automation Conference (DAC), which was founded in 1964, is the longest running and largest conference focused on the design and automation of electronic circuits and systems. And 2019 was a record year in terms of research paper submissions and accepted papers. In fact, this year DAC experienced an impressive 18 percent increase in submissions, as shown in Figure 1. Figure 1: DA... » read more

Manufacturing Bits: April 23


Sorting nuclei CERN and GSI Darmstadt have begun testing the first of two giant magnets that will serve as part of one of the largest and most complex accelerator facilities in the world. CERN, the European Organization for Nuclear Research, recently obtained two magnets from GSI. The two magnets weigh a total of 27 tons. About 60 more magnets will follow over the next five years. These ... » read more

Power/Performance Bits: Feb. 26


Integrated RRAM for edge AI Researchers at CEA-Leti and Stanford University have developed the first circuit integrating multiple-bit non-volatile Resistive RAM (RRAM) with silicon computing units, as well as new memory resiliency features that provide 2.3-times the capacity of existing RRAM. The proof-of-concept chip monolithically integrates two heterogeneous technologies: 18KB of on-chip... » 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

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

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