Computing Goes Green: SLAC's Vision

March 2023
Stanford University

Computing Goes Green: SLAC's Vision

Introduction

Dive into the world of sustainable computing with SLAC's Sadasivan Shankar! From translating languages with a click to developing life-saving drugs, computing shapes our world. Yet, it's a thirsty energy guzzler. Shankar and his team at Stanford University and SLAC National Accelerator Laboratory are on a mission to revolutionize computing's energy appetite. With a goal to boost semiconductor efficiency by a whopping 1,000 times in two decades, they're reimagining algorithms, architecture, and hardware. It's not just about faster; it's about smarter and greener. Ready to see how your future gadgets could save the planet?

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Why It Matters

Discover how this topic shapes your world and future

Powering the Future, Sustainably

Imagine your computer or phone effortlessly translating languages, recommending movies, or even helping scientists discover new medicines and energy solutions. Cool, right? But here's the catch: all these tasks, especially when powered by artificial intelligence (AI), consume a lot of energy. As we rely more on technology, the energy it consumes increases, contributing to global energy demands and environmental concerns. Researchers, like those at SLAC National Accelerator Laboratory, are on a quest to make computing more energy-efficient. This means finding ways to do all the amazing things technology offers us, but using less energy. Why does this matter to you? Well, as the tech we use every day becomes more efficient, we can enjoy its benefits without compromising the planet's health. This challenge is not just about saving energy; it's about ensuring that as technology advances, it does so in a way that is sustainable for our world. This is your future too – a world where technology and sustainability go hand in hand.

Speak like a Scholar

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Algorithm

A set of rules or instructions given to a computer to help it perform a specific task or solve a problem. Think of it as a recipe that tells your computer how to make your favorite dish.

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Architecture

In computing, this refers to the overall design or structure of a computer system. It's like the blueprint of a house, showing how all the different parts connect and work together.

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Hardware

The physical components of a computer system, such as the processor, memory, and storage devices. It's everything you can touch, from your keyboard to the hard drive.

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Machine learning

A type of artificial intelligence that allows computers to learn and improve from experience without being explicitly programmed. It's like teaching your computer to recognize your handwriting or voice.

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Semiconductors

Materials that have properties between conductors (like copper, which electricity flows through easily) and insulators (like rubber, which doesn't allow electricity to flow). They're used in almost all electronic devices, like your smartphone.

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Energy efficiency

Using less energy to perform the same task or activity. It's like figuring out how to get the most miles out of a gallon of gas in your car.

Independent Research Ideas

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Exploring the brain's efficiency

Investigate how the human brain performs complex tasks with minimal energy compared to modern computers. This could lead to designing more efficient computing systems inspired by biological processes.

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The role of quantum computing in energy efficiency

Quantum computing promises to revolutionize computing by performing tasks much more efficiently than current technologies. Researching its potential in reducing energy consumption could be groundbreaking.

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Sustainable materials for future hardware

Discovering and utilizing new materials that require less energy to manufacture and operate for computing hardware could significantly reduce the tech industry's environmental footprint.

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AI in optimizing energy use

How can artificial intelligence itself be used to make computing more energy-efficient? This research could involve developing AI algorithms that optimize energy consumption in real-time.

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The impact of software design on energy consumption

Investigating how different software design approaches, including the integration of energy efficiency as a primary design variable, can reduce the overall energy consumption of computing tasks.