Tiling Support in SiFive’s AI/ML Software Stack for RISC-V Vector-Matrix Extension

Tiling Support in SiFive’s AI/ML Software Stack for RISC-V Vector-Matrix Extension
by Daniel Nenni on 12-31-2025 at 10:00 am

SiFive AI ML RISC V Summit 2025

At the 2025 RISC-V Summit North America, Min Hsu, Staff Compiler Engineer at SiFive, presented on enhancing tiling support within SiFive’s AI/ML software stack for the RISC-V Vector-Matrix Extension (VME). This extension aims to boost matrix multiplication efficiency, a cornerstone of AI workloads. SiFive’s… Read More


RISC-V Extensions for AI: Enhancing Performance in Machine Learning

RISC-V Extensions for AI: Enhancing Performance in Machine Learning
by Daniel Nenni on 12-30-2025 at 10:00 am

SiFive Risc V Summit 2025

In a presentation at the RISC-V Summit North America 2025, John Simpson, Senior Principal Architect at SiFive, delved into the evolving landscape of RISC-V extensions tailored for artificial intelligence and machine learning. RISC-V’s open architecture has fueled its adoption in AI/ML markets by allowing customization… Read More


Podcast EP324: How Dassault Systèmes is Creating the Next Generation of Semiconductor Design and Manufacturing with John Maculley

Podcast EP324: How Dassault Systèmes is Creating the Next Generation of Semiconductor Design and Manufacturing with John Maculley
by Daniel Nenni on 12-26-2025 at 10:00 am

Daniel is joined by John Maculley, Global High-Tech Industry Strategy Consultant at Dassault Systèmes. John has over 20 years of experience advancing innovation across the semiconductor and electronics sectors. Based in Silicon Valley, he works with leading foundries, OSATs, design houses, and research institutes worldwide… Read More


ISC 2026

ISC 2026
by Admin on 12-11-2025 at 1:39 pm

CONFERENCE & EXHIBITION

HPC, AI, Quantum: Powering Innovation and Sustainability

ISC 2026 connects scientists, engineers, and technology leaders to explore the future of high performance computing. We will examine today’s breakthroughs in artificial intelligence, high performance computing and quantum technologies,

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Radio Frequency Integrated Circuits (RFICs) Generated by AI Based Design Automation

Radio Frequency Integrated Circuits (RFICs) Generated by AI Based Design Automation
by Admin on 12-10-2025 at 10:00 am

Figure1

By Jason Liu, RFIC-GPT Inc.

Radio frequency integrated circuits (RFICs) have become increasingly critical in modern electronic systems, driven by the rapid growth of wireless communication technologies (5G/6G), the Internet of Things (IoT), and advanced radar systems. With the desire for lower power consumption, higher… Read More


Jensen Huang Drops Donald Trump Truth Bomb on Joe Rogan Podcast

Jensen Huang Drops Donald Trump Truth Bomb on Joe Rogan Podcast
by Daniel Nenni on 12-08-2025 at 6:00 am

Jensen Huang Elon Musk

How’s that for a clickable title? It really should be called Jensen Huang’s origin story but who is going to click on that?

As  podcaster myself I can say without a doubt that this was the best podcast I have listened to all year. During my 30+ EDA and IP career Nvidia was a customer on many different occasions. I do know how… Read More


Why chip design needs industrial-grade EDA AI

Why chip design needs industrial-grade EDA AI
by Admin on 11-25-2025 at 10:00 am

EDA AI consumer vs industrial 72dpi

By Niranjan Sitapure

Artificial intelligence (AI) is reshaping industries worldwide. Consumer-grade AI solutions are getting significant attention in the media for their creativity, speed, and accessibility—from ChatGPT and Meta’s AI app to Gemini for image creation, Sora for video, Sona for music, and Perplexity for web… Read More


Adding Expertise to GenAI: An Insightful Study on Fine-Tuning

Adding Expertise to GenAI: An Insightful Study on Fine-Tuning
by Bernard Murphy on 11-12-2025 at 6:00 am

AI Model Tuner

I wrote earlier about how deep expertise, say for high-quality RTL design or verification, must be extracted from in-house know-how and datasets. In general, such methods start with one of many possible pre-trained models (GPT, Llama, Gemini, etc.). To this consultants or in-house teams add fine-tuning training, initially… Read More


Learning from In-House Datasets

Learning from In-House Datasets
by Bernard Murphy on 10-22-2025 at 6:00 am

Training in a Constrained Environment min

At a DAC Accellera panel this year there was some discussion on cross-company collaboration in training. The theory is that more collaboration would mean a larger training set and therefore higher accuracy in GenAI (for example in RTL generation). But semiconductor companies are very protective of their data and reports of copyrighted… Read More