Standard-Cell Based Memories (SCMs): from Sub-VT to Error-Resilient Systems

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In the past decades, a significant increase of the transistor density on a chip has led to exponential growth in computational power driven by Moore's law. To overcome the bottleneck of traditional von-Neumann architecture in computational efficiency, effo ...

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The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

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Electro-optical photonic integrated circuits (PICs) based on lithium niobate (LiNbO3) have demonstrated the vast capabilities of materials with a high Pockels coefficient1,2. They enable linear and high-speed modulators operating at complementary metal–oxi ...

The engineering of tin halide perovskites has led to the development of p-type transistors with field-effect mobilities of over 70 cm2 V-1 s-1. However, due to their background hole doping, these perovskites are not suitable for n-type transistors. Ambipol ...

A modular multiple frequency coils inductive link system to wirelessly provide power for at least a medical implant at an output of a receiving coil, whereby the receiving coil is configured to be implanted in an organism. The modular multiple frequency co ...

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

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The digital revolution has significantly transformed our world over the past decades, driven by the scaling of transistor dimensions and the exponential increase in computation power. However, as the CMOS scaling era approaches its end, the semiconductor i ...

Virtual Memory (VM) is a critical programming abstraction that is widely used in various modern computing platforms. With the rise of datacenter computing and birth of planet-scale online services, the semantic and capacity requirements from memory have ev ...

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

Modern hardware is increasingly complex, requiring increasing effort to understand in order to carefully engineer systems for optimal performance and effective utilization. Moreover, established design principles and assumptions are not portable to modern ...

By supporting the access of multiple memory words at the same time, Bit-line Computing (BC) architectures allow the parallel execution of bit-wise operations in-memory. At the array periphery, arithmetic operations are then derived with little additional o ...

Gain-cell embedded DRAM (GC-eDRAM) is a high-density logic-compatible alternative to conventional static random-access memory (SRAM) and embedded DRAM (eDRAM). However, GC-eDRAM suffers from a reduced data retention time (DRT) at deeply-scaled process node ...

Quantum random number generators (QRNGs) are a burgeoning technology used for a variety of applications, including modern security and encryption systems. Typical methods exploit an entropy source combined with an extraction or bit generation circuit in or ...

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Standard-Cell Based Memories (SCMs): from Sub-VT to Error-Resilient Systems

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Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

EdgeAI-Aware Design of In-Memory Computing Architectures

Multi-Ported GC-eDRAM Bitcell with Dynamic Port Configuration and Refresh Mechanism

Secure Interface Design Leveraging Hardware/Software Support

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

Lithium tantalate photonic integrated circuits for volume manufacturing

Strain relaxation and multidentate anchoring in n-type perovskite transistors and logic circuits

A modular multiple frequency inductive link to wirelessly power multiple miniaturized implants

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

Energy-Efficient Electronic Functions Based on the Co-integration of 2D and Ferroelectric Materials

Rebooting Virtual Memory with Midgard

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Chaosity: Understanding Contemporary NUMA-architectures

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

A 128-kbit GC-eDRAM With Negative Boosted Bootstrap Driver for 11.3x Lower-Refresh Frequency at a 2.5% Area Overhead in 28-nm FD-SOI

A 3.3-Gb/s SPAD-Based Quantum Random Number Generator

HPCache: memory-efficient OLAP through proportional caching revisited