A Study Of LLMs On Multiple AI Accelerators And GPUs With A Performance Evaluation


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

GNN-Based Pre-Silicon Power Side-Channel Analysis Framework At RTL Level


A technical paper titled “SCAR: Power Side-Channel Analysis at RTL-Level” was published by researchers at University of Texas at Dallas, Technology Innovation Institute and University of Illinois Chicago. Abstract: "Power side-channel attacks exploit the dynamic power consumption of cryptographic operations to leak sensitive information of encryption hardware. Therefore, it is necessary t... » read more

Four Vertical Power Delivery Architectures For Emerging Packaging and Integration Platforms (UIC)


A technical paper titled “Vertical Power Delivery for Emerging Packaging and Integration Platforms – Power Conversion and Distribution” was published by researchers at University of Illinois Chicago. Abstract: "Efficient delivery of current from PCB to point-of-load (POL) is a primary concern in modern high-power high-density integrated systems. Traditionally, a 48 V power signal is con... » read more

Embedded Automotive Platforms: Evaluating Power And Performance Of Image Classification And Objects Detection CNNs 


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

A Framework To Detect Capacitance-Based Analog Hardware Trojans And Mitigate The Effects


A technical paper titled “DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans” was published by researchers at Tennessee Tech University and Technische Universitat Wien. Abstract: "The global semiconductor supply chain involves design and fabrication at various locations, which leads to multiple security vulnerabilities, e.g., Hardware Trojan (HT) insertion. Although most... » read more

Applying Machine Learning to EDA, FPGA Design Automation Tools


A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: "With the recent advances in hardware technologies like advanced CPUs and GPUs and the large availability of open-source libraries, machine learning has penetrated various domains, including Electronics Design Automation (EDA). E... » read more

Characterization, Modeling, And Model Parameter Extraction Of 5nm FinFETs


A technical paper titled “A Comprehensive RF Characterization and Modeling Methodology for the 5nm Technology Node FinFETs” was published by researchers at IIT Kanpur, MaxLinear Inc., and University of California Berkeley. Abstract: "This paper aims to provide insights into the thermal, analog, and RF attributes, as well as a novel modeling methodology, for the FinFET at the industry stan... » read more

Novel NVM Devices and Applications (UC Berkeley)


A dissertation titled “Novel Non-Volatile Memory Devices and Applications” was submitted by a researcher at University of California Berkeley. Abstract Excerpt "This dissertation focuses on novel non-volatile memory devices and their applications. First, logic MEM switches are demonstrated to be operable as NV memory devices using controlled welding and unwelding of the contacting electro... » read more

VCMA-Controlled MTJ Devices For Probabilistic Computing Applications


A technical paper titled “Probabilistic computing with voltage-controlled dynamics in magnetic tunnel junctions” was published by researchers at Northwestern University, University of Messina, Western Digital Corporation, and Universitat Jaume I. Abstract: "Probabilistic (p-) computing is a physics-based approach to addressing computational problems which are difficult to solve by convent... » read more

Noise Parameter Survey Of Millimeter Wave GaN HEMT Technologies


A technical paper titled “A Survey of GaN HEMT Technologies for Millimeter-Wave Low Noise Applications” was published by researchers at Wright-Patterson AFB, Teledyne Scientific, HRL Laboratories, BAE Systems, Pseudolithic, Northrop Grumman Corporation, and University of California Santa Barbara. "This article presents a set of measured benchmarks for the noise and gain performance of si... » read more

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