Chiplet Interconnects Add Power And Signal Integrity Issues


The flexibility and scalability offered by chiplets make them an increasingly attractive choice over planar SoCs, but the rollout of increasingly heterogeneous assemblies adds a variety of new challenges around the processing and movement of data. Nearly all of the chiplets in use today were designed in-house by large systems companies and IDMs. Going forward, third-party chiplets will begin... » read more

Two Silicon Switches Driven Both Thermally and Electrically With Ultra-Low-Crosstalk (Cambridge)


A new technical paper titled "Ultra-low-crosstalk Silicon Switches Driven Thermally and Electrically" was published by researchers at University of Cambridge and GlitterinTech Limited. Abstract "Silicon photonic switches are widely considered as a cost-effective solution for addressing the ever-growing data traffic in datacenter networks, as they offer unique advantages such as low power co... » read more

Reducing SoC Power With NoCs And Caches


Today’s system-on-chip (SoC) designs face significant challenges with respect to managing and minimizing power consumption while maintaining high performance and scalability. Network-on-chip (NoC) interconnects coupled with innovative cache memories can address these competing requirements. Traditional NoCs SoCs consist of IP blocks that need to be connected. Early SoCs used bus-based archi... » read more

TFETs: Design and Operation, Including Material Selection and Simulation Methods


A new technical paper titled "Multiscale Simulation and Machine Learning Facilitated Design of Two-Dimensional Nanomaterials-Based Tunnel Field-Effect Transistors: A Review" was published by researchers at University of Chicago and Argonne National Lab. Abstract "Traditional transistors based on complementary metal-oxide-semiconductor (CMOS) and metal-oxide-semiconductor field-effect transi... » read more

Review Paper: Challenges Required To Bring the Energy Consumption Down in Microelectronics (Rice, UC Berkeley, Georgia Tech, Et al.)


A new review article titled "Roadmap on low-power electronics" by researchers at Rice University, UC Berkeley, Georgia Tech, TSMC, Intel, Harvard, et al. This roadmap to energy efficient electronics written by numerous collaborators covers materials, modeling, architectures, manufacturing, metrology and more. Find the technical paper here. September 2024. Ramamoorthy Ramesh, Sayeef Sal... » read more

KAN: Kolmogorov Arnold Networks: An Alternative To MLPs (MIT, CalTech, et al.)


A new technical paper titled "KAN: Kolmogorov-Arnold Networks" was published by researchers at MIT, CalTech, Northeastern University and The NSF Institute for Artificial Intelligence and Fundamental Interactions. Abstract: "Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While... » read more

Datacenter Chipmaker Achieves Double-Digit Power Reduction with Next-Gen Voltage Scaling


The Customer A fabless chipmaker making 5nm networking chips for datacenters. The Challenge High power consumption due to excessive voltage guard-bands What You'll Discover: Learn how the customer safely decreased the voltage from 650 mV to an average of 608 mV, resulting in a 12.5% dynamic power reduction. This significant optimization helped the chipmaker stand out as a low-pow... » read more

MCU Changes At The Edge


Microcontrollers are becoming a key platform for processing machine learning at the edge due to two significant changes. First, they now can include multiple cores, including some for high performance and others for low power, as well as other specialized processing elements such as neural network accelerators. Second, machine learning algorithms have been pruned to the point where inferencing ... » read more

Integrating Energy Efficiency Considerations Into Your Design From The Beginning


Data center networking is responsible for consuming about 1% of the global electricity supply. With the advent and integration of AI into various sectors, the pressure on both hardware and software infrastructures, necessitated by neural networks and extensive language models, is expected to increase significantly. The burgeoning energy consumption by hyperscale data centers emerges as an ur... » read more

New Memory Architecture For Local Differential Privacy in Hardware


A technical paper titled "Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory" was published by researchers at North Carolina State University, University of South Alabama, and University of Tennessee. Abstract "The software-based implementation of differential privacy mechanisms has been shown to be neither friendly for lightweight devices nor secure against side-channe... » read more

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