Author's Latest Posts


Co-Designing Data Center Architecture To Support LLMs (Intel, Georgia Tech)


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

GAA Transistors: 3D Atomic-Scale Metrology of Strain Relaxation and Roughness via Electron Ptychography (Cornell, ASM, TSMC)


A new technical paper titled "3D Atomic-Scale Metrology of Strain Relaxation and Roughness in Gate-All-Around (GAA) Transistors via Electron Ptychography" was published by researchers at Cornell University, ASM and TSMC. Abstract "To improve transistor density and electronic performance, next-generation semiconductor devices are adopting three-dimensional architectures and feature sizes dow... » read more

Colloidal Coordination Nanosheets, And Their Use as Inks For Coating (Tokyo University of Science)


A new technical paper titled "Rationally Engineered Heterometallic Metalladithiolene Coordination Nanosheets with Defined Atomic Arrangements" was published by researchers at Tokyo University of Science. Abstract "Coordination nanosheets are 2D polymers formed by coordination bonds between metal ions and planar organic molecules. They offer high molecular design freedom and unique electroni... » read more

Emerging NVM: Review Of Emerging Memory Materials And Device Architectures


A new technical paper titled "Emerging Nonvolatile Memory Technologies in the Future of Microelectronics" was published by researchers at Texas A&M University, University of Massachusetts and USC. Abstract "Memory technologies are central to modern computing systems, performing essential functions that range from primary data storage to advanced tasks, such as in-memory computing for ... » read more

LLM-Powered Automatic VLSI Design Flow Tuning Framework


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

Dielectrics for 2D TMDs, Including Deposition Strategies And Emerging Dielectric Materials (Cambridge)


A new technical paper titled "Gate dielectrics for transistors based on two-dimensional transition metal dichalcogenide semiconductors" was published by researchers at University of Cambridge. "This perspective analyses the state of the art on 2D TMD and dielectric interfaces, highlighting key challenges in depositing oxide dielectrics on top of atomically thin TMD semiconductors. We provide... » read more

NVIDIA GPU Confidential Computing: Threat Model And Security Insights (IBM Research, Ohio State)


A new technical paper titled "NVIDIA GPU Confidential Computing Demystified" was published by IBM Research and Ohio State University. Abstract "GPU Confidential Computing (GPU-CC) was introduced as part of the NVIDIA Hopper Architecture, extending the trust boundary beyond traditional CPU-based confidential computing. This innovation enables GPUs to securely process AI workloads, providing ... » read more

Functional Hardware Trojans Specifically Tailored Tor SFQ (Univ. of Rochester)


A new technical paper titled "Hardware trojans in superconducting electronic circuits" was published by researchers at University of Rochester. Abstract "Hardware Trojans that exploit the unique characteristics of superconducting electronic (SCE) circuits are explored in this paper. Two types of hardware Trojan circuits are proposed: a magnetically-coupled data transmission Trojan embedded ... » read more

System-Level Approach To Reducing HBM Cost for AI inference (RPI, IBM)


A new technical paper titled "Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure" was published by researchers at Rensselaer Polytechnic Institute and IBM. Abstract "High-Bandwidth Memory (HBM) delivers exceptional bandwidth and energy efficiency for AI workloads, but its high cost per bit, driven in part by stringent on-die reliability requirements, pose... » read more

Detailed Study of Performance Modeling For LLM Implementations At Scale (imec)


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

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