Heterogeneous Multi-Core HW Architectures With Fine-Grained Scheduling of Layer-Fused DNNs


A technical paper titled "Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks" was published by researchers at KU Leuven and TU Munich. Abstract "To keep up with the ever-growing performance demand of neural networks, specialized hardware (HW) accelerators are shifting towards multi-core and chiplet architectures. So far, thes... » read more

Design And Verification Methodologies Breaking Down


Tools, methodologies and flows that have been in place since the dawn of semiconductor design are breaking down, but this time there isn't a large pool of researchers coming up with potential solutions. The industry is on its own to formulate those ideas, and that will take a lot of cooperation between EDA companies, fabs, and designers, which has not been their strong point in the past. It ... » read more

EVs Raise Energy, Power, And Thermal IC Design Challenges


The transition to electric vehicles is putting pressure on power grids to produce more energy and on vehicles to use that energy much more efficiently, creating a gargantuan set of challenges that will affect every segment of the automotive world, the infrastructure that supports it, and the chips that are required to make all of this work. From a semiconductor standpoint, improvements in th... » read more

Verification Methodologies Evolve, But Slowly


Semiconductor Engineering sat down to discuss digital twins and what is required to develop and verify new chips across a variety of industries, such as automotive and aerospace, with Larry Lapides, vice president of sales for Imperas Software; Mike Thompson, director of engineering for the verification task group at OpenHW; Paul Graykowski, technical marketing manager for Arteris IP; Shantanu ... » read more

Arm’s Input Qualification Methodology Using PowerPro


This white paper proposes a new automated input qualification methodology that Arm developed using Siemens EDA’s PowerPro software portfolio that performs various data integrity checks at the IC design build and prototype stage. This methodology ensures in quicker iterations that input data are high fidelity, leading to a well correlated power numbers. Should multiple iterations be necessary,... » read more

Unintended Coupling Issues Grow


The number of indirect and often unexpected ways in which one design element may be affected by another is growing, making it more difficult to ensure a chip — or multiple chips in a package — will perform reliably. Long gone are the days when the only way that one part of a circuit could influence another was by an intended wire connecting them. As geometries get smaller, frequencies go... » read more

Radar Systems


Combined with advances in phased-array antennas and integration technologies, radars are moving beyond military/aerospace markets to address a host of commercial applications. This white paper showcases how the Cadence AWR Design Environment platform provides designers with a host of modeling and simulation technologies needed to meet the challenges of all types of radar system design. Click h... » read more

Structural Vs. Functional


When working on an article about PLM and semiconductors, I got to review a favorite topic from my days in EDA development – verification versus validation. I built extensive presentations around it and tried to persuade people within the EDA industry, as well as customers, about the advantages of doing a top-down functional modeling and analysis. The V diagram that everyone uses is flawed and... » read more

Materials and Device Simulations for Silicon Qubit Design and Optimization


Abstract: "Silicon-based microelectronics technology is extremely mature, yet this profoundly important material is now also poised to become a foundation for quantum information processing technologies. In this article, we review the properties of silicon that have made it the material of choice for semiconductor-based qubits with an emphasis on the role that modeling and simulation have play... » read more

Modeling electrical conduction in resistive-switching memory through machine learning


Published in AIP Advances on July 13, 2021. Read the full paper (open access). Abstract Traditional physical-based models have generally been used to model the resistive-switching behavior of resistive-switching memory (RSM). Recently, vacancy-based conduction-filament (CF) growth models have been used to model device characteristics of a wide range of RSM devices. However, few have focused o... » read more

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