category: AI/ML/DL

category: IoT, Security & Automotive

GAA NSFETs: ML for Device and Circuit Modeling
By Technical Paper Link - 30 Nov, 2023 - Comments: 0

A new technical paper titled "A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors" was published by researchers at National Yang Ming Chiao Tung University. Abstract (excerpt) "Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domai... » read more

Chiplets For Generative AI Workloads: Challenges in both HW and SW
By Technical Paper Link - 29 Nov, 2023 - Comments: 0

A new technical paper titled "Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets" was published by researchers at University of Pittsburgh, Lightelligence, and Meta. Abstract "Fast-evolving artificial intelligence (AI) algorithms such as large language models have been driving the ever-increasing computing demands in today's data centers. Heterogeneous c... » read more

Continuous Energy Monte Carlo Particle Transport On AI HW Accelerators
By Technical Paper Link - 20 Nov, 2023 - Comments: 0

A technical paper titled “Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware” was published by researchers at Argonne National Laboratory, University of Chicago, and Cerebras Systems. Abstract: "The recent trend toward deep learning has led to the development of a variety of highly innovative AI accelerator architectures. One such architecture, the Cerebras... » read more

LLM Inference On CPUs (Intel)
By Technical Paper Link - 16 Nov, 2023 - Comments: 0

A technical paper titled “Efficient LLM Inference on CPUs” was published by researchers at Intel. Abstract: "Large language models (LLMs) have demonstrated remarkable performance and tremendous potential across a wide range of tasks. However, deploying these models has been challenging due to the astronomical amount of model parameters, which requires a demand for large memory capacity an... » read more

Applications Of Large Language Models For Industrial Chip Design (NVIDIA)
By Technical Paper Link - 10 Nov, 2023 - Comments: 0

A technical paper titled “ChipNeMo: Domain-Adapted LLMs for Chip Design” was published by researchers at NVIDIA. Abstract: "ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: custom tokenizers, domain-ad... » read more

Predicting Defect Properties In Semiconductors With Graph Neural Networks
By Technical Paper Link - 24 Oct, 2023 - Comments: 0

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, GE Research, and National Institute of Standards and Technology (NIST). Abstract: "Here, we develop a framework for the prediction and screening of native defects and functional impurities i... » read more

Energy Usage in Layers Of Computing (SLAC)
By Technical Paper Link - 19 Oct, 2023 - Comments: 0

A technical paper titled “Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining” was published by researchers at SLAC National Laboratory and Stanford University. Abstract: "Estimates of energy usage in layers of computing from devices to algorithms have bee... » read more

A Study Of LLMs On Multiple AI Accelerators And GPUs With A Performance Evaluation
By Technical Paper Link - 19 Oct, 2023 - Comments: 0

A technical paper titled “A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators” was published by researchers at Argonne National Laboratory, State University of New York, and University of Illinois. Abstract: "Artificial intelligence (AI) methods have become critical in scientific applications to help accelerate scientific discovery. Large language models (L... » read more

LLMs For Hardware Design Verification
By Technical Paper Link - 16 Oct, 2023 - Comments: 0

A technical paper titled “LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation” was published by researchers at University of Cambridge, lowRISC, and Imperial College London. Abstract: "Test stimuli generation has been a crucial but labor-intensive task in hardware design verification. In this paper, we revolutionize this process by harnessing the power of large langua... » read more

Embedded Automotive Platforms: Evaluating Power And Performance Of Image Classification And Objects Detection CNNs 
By Technical Paper Link - 16 Oct, 2023 - Comments: 0

A technical paper titled “Performance/power assessment of CNN packages on embedded automotive platforms” was published by researchers at University of Modena and Reggio Emilia. Abstract: "The rise of power-efficient embedded computers based on highly-parallel accelerators opens a number of opportunities and challenges for researchers and engineers, and paved the way to the era of edge com... » read more

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