tag: LLMs

Largest High-Quality Verilog Dataset for LLM Fine-Tuning (Univ. of Florida)
By Technical Paper Link - 22 Jul, 2025 - Comments: 0

A new technical paper titled "VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation" was published by researchers at the University of Florida. Abstract "Large Language Models (LLMs) are gaining popularity for hardware design automation, particularly through Register Transfer Level (RTL) code generation. In this work, we examine the curr... » read more

AI In The IC Equipment Ecosystem
By Ed Sperling - 21 Jul, 2025 - Comments: 0

AI is playing an increasingly critical role in improving semiconductor equipment and processes, which are necessary as the industry moves to advanced manufacturing processes. This requires more steps, tighter integration and analysis of those various steps, and better optimization of tools. David Fried, corporate vice president at Lam Research, talks about how to accelerate the development of A... » read more

Transformers At The Edge: Efficient LLM Deployment
By Paul Karazuba - 17 Jul, 2025 - Comments: 0

Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid the foundation for Large Language Models (LLMs) and Video Language Models (VLMs), fueling a wave of productization across the industry. A defining milestone was the public launch of ChatGPT in... » read more

Co-Designing Data Center Architecture To Support LLMs (Intel, Georgia Tech)
By Technical Paper Link - 14 Jul, 2025 - Comments: 0

A new technical paper titled "Scaling Intelligence: Designing Data Centers for Next-Gen Language Models" was published by Intel Corporation and Georgia Tech. An excerpt from the paper's abstract: "Our work provides a comprehensive co-design framework that jointly explores FLOPS, HBM bandwidth and capacity, multiple network topologies (two-tier vs. FullFlat optical), the size of the scale-ou... » read more

Shrinking LLMs With Self-Compression
By Jakub Przybyl - 08 Jul, 2025 - Comments: 0

Language models are becoming ever larger, making on-device inference slow and energy-intensive. A direct and surprisingly effective remedy is to prune complete channels whose contribution to the task is negligible. Our earlier work introduced a training-time procedure – Self-Compression [1, 4] – that lets back-propagation decide the bit-width of every channel, so unhelpful ones fade away. T... » read more

AI: A New Tool For Hackers, And For Preventing Attacks
By Ann Mutschler - 08 Jul, 2025 - Comments: 0

Semiconductor Engineering sat down to discuss hardware security challenges, including new threat models from AI-based attacks, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Siemens EDA; Mohit Arora, seni... » read more

LLM-Powered Automatic VLSI Design Flow Tuning Framework
By Technical Paper Link - 08 Jul, 2025 - Comments: 0

A new technical paper titled "CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs" was published by researchers at Duke University and Synopsys. Abstract "Modern very large-scale integration (VLSI) design requires the implementation of integrated circuits using electronic design automation (EDA) tools. Due to the complexity of EDA algorithms, the vast parameter space... » read more

Detailed Study of Performance Modeling For LLM Implementations At Scale (imec)
By Technical Paper Link - 07 Jul, 2025 - Comments: 0

A new technical paper titled "System-performance and cost modeling of Large Language Model training and inference" was published by researchers at imec. Abstract "Large language models (LLMs), based on transformer architectures, have revolutionized numerous domains within artificial intelligence, science, and engineering due to their exceptional scalability and adaptability. However, the ex... » read more

HW Security: Multi-Agent AI Assistant Leveraging LLMs To Automate Key Stages of SoC Security Verification (U. of Florida)
By Technical Paper Link - 25 Jun, 2025 - Comments: 0

A new technical paper titled "SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models" was published by researchers at University of Florida. Abstract "Ensuring the security of complex system-on-chips (SoCs) designs is a critical imperative, yet traditional verification techniques struggle to keep pace due to significant challenges in automation, scalability, c... » read more

LLMs On The Edge
By Ed Sperling - 16 Jun, 2025 - Comments: 0

Nearly all the data input for AI so far has been text, but that's about to change. In the future, that input likely will include video, voice, as well as other types of data, causing a massive increase in the amount of data that needs to be modeled and the compute resources necessary to make it all work. This is hard enough in hyperscale data centers, which are sprouting up everywhere to handle... » read more

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