Designing Low Power Radar Processors


A technical paper titled “Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing” was published by researchers at University of California Irvine, University of Wisconsin-Madison, and TCS Research. Abstract: "In recent times, orthogonal frequency-division multiplexing (OFDM)-based radar has gained wide acceptance given its applicability in joint radar-communic... » read more

AI PCB Design: How Generative AI Takes Us From Constraints To Possibilities


Generative artificial intelligence (AI) represents the next great step forward in PCB design. This is, of course, what you might expect me to say. 2023 has been a year dominated by the rise of generative AI, with large language models (LLMs) as the unquestionable poster child. It’s easy to see why; LLMs seemingly fulfill the promise of sentience, while in reality, they’re simply very goo... » read more

Revolutionizing Product Development And User Experience: The Transformative Power Of Generative AI


Generative AI has become a prominent and versatile solution across various domains, including chip and system development. Its progress and impact have outpaced many other technological advancements, significantly benefiting numerous areas. In the semiconductor industry, EDA tools with generative AI have already established their position by offering unparalleled optimization capabilities. Thes... » read more

Hardware Virtualization Support in the RISC-V CVA6 Core


A new technical paper titled "CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration" was published (preprint) by researchers at Universidade do Minho, University of Bologna, and ETH Zurich. Abstract "Virtualization is a key technology used in a wide range of applications, from cloud computing to embedded systems. Over the last few years, mainstream comp... » read more

Hardware Virtualization Support in the RISC-V CVA6 Core


A new technical paper titled "CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration" was written by researchers at Universidade do Minho (Portugal), University of Bologna, and ETH Zurich. Abstract Excerpt: "In this article, we describe our work on hardware virtualization support in the RISC-V CVA6 core. Our contribution is multifold and encompasses archite... » read more

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

Automotive E/E Architectures with Safety Related Availability (SaRa) Requirements For Highly Autonomous Driving


A technical paper titled "Multi-objective optimization for safety-related available E/E architectures scoping highly automated driving vehicles" was written by researchers at Robert Bosch GmBbH and University of Luxembourg. Abstract: "Megatrends such as Highly Automated Driving (HAD) (SAE ≥ Level-3), electrification, and connectivity are reshaping the automotive industry. Together with th... » read more

Designing for FPGA Accelerators


This research paper titled "High-Level Synthesis Hardware Design for FPGA-based Accelerators: Models, Methodologies, and Frameworks" was published by researchers at Università degli Studi di Trieste (Italy), Universidad Nacional de San Luis (Argentina), and the Abdus Salam International Centre for Theoretical Physics (Italy). According to the paper's abstract, "This paper presents a survey ... » read more

E/E Architecture Synthesis: Challenges and Technologies


ACADEMIC PAPER Abstract "In recent years, the electrical and/or electronic architecture of vehicles has been significantly evolving. The new generation of cars demands a considerable amount of computational power due to a large number of safety-critical applications and driver-assisted functionalities. Consequently, a high-performance computing unit is required to provide the demanded pow... » read more

AI Everywhere: Accelerating Chip Design At Every Node


Over the last few years, artificial Intelligence (AI) has increasingly played a significant role in the chip development process. But, when people talk about AI-designed chips, it is usually in the context of the latest, cutting-edge designs manufactured at advanced process nodes (7/5nm and smaller) and for good reason. Such designs constantly push the bounds of power, performance, and area (PP... » read more

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