tag: energy consumption

The Thermal And Power Realities Of The AI Era
By Rafael Tudela - 16 Apr, 2026 - Comments: 0

The rapid growth of AI has created a surge in the global energy consumption at a rate never seen before. Today, data centers account for approximately 415 terawatt-hours (TWh) of electricity globally. To put this into perspective, the annual energy consumption of the United Kingdom in 2023 measured at 309 TWh. The International Energy Agency (IEA) projects data centers’ energy consumption wil... » read more

Physics-Based ASICs (Normal Computing et al.)
By Technical Paper Link - 15 Jul, 2025 - Comments: 0

A new technical paper titled "Solving the compute crisis with physics-based ASICs" was published by researchers at Normal Computing Corporation, ARIA, UC Santa Barbara, University of Pennsylvania, Santa Fe Institute, Cornell University. Advanced Research Projects Agency - Energy and Yale University. Abstract "Escalating artificial intelligence (AI) demands expose a critical "compute crisis"... » read more

Energy-Aware DL: The Interplay Between NN Efficiency And Hardware Constraints (Imperial College London, Cambridge)
By Technical Paper Link - 20 May, 2025 - Comments: 0

A new technical paper titled "Energy-Aware Deep Learning on Resource-Constrained Hardware" was published by researchers at Imperial College London and University of Cambridge. Abstract "The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing. However, such devices face substantial energy constraints to prolong batte... » read more

GPUs: Bandit Based Framework To Dynamically Reduce Energy Consumption
By Technical Paper Link - 17 Oct, 2024 - Comments: 0

A new technical paper titled "Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach" was published by researchers at Illinois Institute of Technology, Argonne National Lab and Emory University. Abstract "Energy consumption has become a critical design metric and a limiting factor in the development of future computing architectures, from small wearable devices to large-scale lea... » read more

Smarter Ways To Manufacture Chips
By Anne Meixner - 20 Apr, 2023 - Comments: 0

OSAT and wafer fabs are beginning to invest in Industry 4.0 solutions in order to improve efficiency and reduce operating costs, but it's a complicated process that involves setting up frameworks to evaluate different options and goals. Semiconductor manufacturing facilities have relied on dedicated automation teams for decades. These teams track and schedule chip production, respond to equi... » read more

Semiconductor Manufacturing: Tradeoffs Between Performance, Energy Consumption & Cybersecurity Controls
By Technical Paper Link - 08 Nov, 2022 - Comments: 0

A new research paper titled "Simulating Energy and Security Interactions in Semiconductor Manufacturing: Insights from the Intel Minifab Model" was published by researchers at Idaho National Laboratory, University of Texas at Austin, University of Texas at San Antonio and George Mason University. Abstract: "Semiconductor manufacturing is a highly complex. Fabrication plants must deal with r... » read more

Algorithm HW Framework That Minimizes Accuracy Degradation, Data Movement, And Energy Consumption Of DNN Accelerators (Georgia Tech)
By Technical Paper Link - 31 Aug, 2022 - Comments: 0

This new research paper titled "An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators" was published by researchers at Georgia Tech. According to the paper's abstract, "In recent years, processing in memory (PIM) based mixed-signal designs have been proposed as energy- and area-efficient solutions with ultra high throughput to accelerate DNN com... » read more

Techniques For Improving Energy Efficiency of Training/Inference for NLP Applications, Including Power Capping & Energy-Aware Scheduling
By Technical Paper Link - 17 Aug, 2022 - Comments: 0

This new technical paper titled "Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models" is from researchers at MIT and Northeastern University. Abstract: "The energy requirements of current natural language processing models continue to grow at a rapid, unsustainable pace. Recent works highlighting this problem conclude there is an urgent need ... » read more

End to End System Design for DRAM-based TRNG
By Technical Paper Link - 22 Jun, 2022 - Comments: 0

Research paper titled "DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators" is presented from researchers at TOBB University of Economics and Technology and ETH Zurich. Abstract "Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. True ... » read more

Neuromorphic Chips & Power Demands
By Technical Paper Link - 24 May, 2022 - Comments: 0

Research paper titled "A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware," from researchers at Graz University of Technology and Intel Labs. Abstract "Spike-based neuromorphic hardware holds the promise to provide more energy efficient implementations of Deep Neural Networks (DNNs) than standard hardware such as GPUs. But this requires to understand how D... » read more

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