Research Bits: August 15


Using noise for spintronics Researchers from the Institute for Basic Science built a vertical magnetic tunneling junction device by sandwiching a few layers of vanadium in tungsten diselenide (V-WSe2), a magnetic material, between top and bottom graphene electrodes to create high-amplitude Random Telegraph Noise (RTN) signals. Through the resistance measurement experiments using these devic... » read more

Power Supply Noise Effects On Jitter In Clock Synchronous Systems With Emphasis On Memory Interfaces


Power Supply Noise Effects on Jitter in Clock Synchronous Systems with Emphasis on LPDDR5X, DDR5 and HBM3 In today's fast-paced digital world, the performance and capacity of high-speed memory has become crucial for a wide range of applications, from personal computing devices to data centers and high-performance computing systems. Designers face challenges in optimizing their designs ... » read more

Reducing Noise Issues In Microcontroller Systems: Part 1


In my ideal digital world, of which I often dream, signal voltage margins are always positive, signal timing margins are always positive, power supply voltages are always within the operating voltage range, and our environment is completely benign. Unfortunately, none of us live in this ideal world, no matter how much I would like to. The real world is dirty and noisy, and the power distribu... » read more

Isolation Device Solution For Intelligent Power Module (IPM) Drive To Realize High-Accuracy Industrial Equipment In High Noise Environment


As efforts to protect the environment have advanced, the use of inverters in industrial applications and green energy systems have continued to grow rapidly as a way to achieve low-power motor control and reduce power conversion loss. In recent years, this demand has been increasing more and more in relation to Sustainable Development Goals (SDGs). Further improvement in accuracy and downsizing... » read more

Quantum: Pairing Cooper Pairs Magnifies The Phase Fluctuations of the Ground State


New technical paper titled "Magnifying Quantum Phase Fluctuations with Cooper-Pair Pairing" from researchers at Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot, Inria de Paris, PSL Research University. Abstract "Remarkably, complex assemblies of superconducting wires, electrodes, and Josephson junctions are compactly described by a handful of collective phase degrees ... » read more

Can Analog Make A Comeback?


We live in an analog world dominated by digital processing, but that could change. Domain specificity, and the desire for greater levels of optimization, may provide analog compute with some significant advantages — and the possibility of a comeback. For the last four decades, the advantages of digital scaling and flexibility have pushed the dividing line between analog and digital closer ... » read more

Memory Bandwidth Regulation on Hybrid NVM/DRAM Platforms


New technical paper from Shanghai Jiao Tong University Abstract "Non-volatile memory (NVM) has emerged as a new memory media, resulting in a hybrid NVM/DRAM configuration in typical servers. Memory-intensive applications competing for the scant memory bandwidth can yield degraded performance. Identifying the noisy neighbors and regulating the memory bandwidth usage of them can alleviate th... » read more

Always-On, Ultra-Low-Power Design Gains Traction


A surge of electronic devices powered by batteries, combined with ever-increasing demand for more features, intelligence, and performance, is putting a premium on chip designs that require much lower power. This is especially true for always-on circuits, which are being added into AR/VR, automotive applications with over-the-air updates, security cameras, drones, and robotics. Also known as ... » read more

The Value Of RF Harmonic Balance Analyses For Analog Verification


By Pradeep Thiagarajan and Scott Guyton The world we live in is intricately connected by electronic systems that are expected to function flawlessly to satisfy consumer needs. Functionality violations beyond certain tolerance levels are frowned upon and negatively impact the quality level of products. These systems are required to function accurately, in tandem with other interdependent syst... » read more

Enabling Training of Neural Networks on Noisy Hardware


Abstract:  "Deep neural networks (DNNs) are typically trained using the conventional stochastic gradient descent (SGD) algorithm. However, SGD performs poorly when applied to train networks on non-ideal analog hardware composed of resistive device arrays with non-symmetric conductance modulation characteristics. Recently we proposed a new algorithm, the Tiki-Taka algorithm, that overcomes t... » read more

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