The Everything Blueprint: The Microchip Design That Changed the World
by James Ashton · 11 May 2023 · 401pp · 113,586 words
relationship.’ Then, on 31 August 1999, Nvidia claimed to usher in a new era when it heralded the GeForce 256 as the world’s first graphics processing unit (GPU). In a breathless press release, Huang said its chip, which featured nearly 23 million transistors, would enable new interactive content that was ‘alive
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a founding member when RISC-V International was formed in 2015 to oversee the new standard, and soon after adopted its architecture for a new graphics processing unit (GPU) microcontroller, with the expectation of vastly improving performance. Clearly the biggest chipmakers liked to hedge their bets when new technologies emerged. But Arm
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‘Accomplished team of graphics and multimedia experts’, Business Wire, 25 July 1994. 16 https://pressreleases.responsesource.com/news/3992/nvidia-launches-the-world-s-first-graphics-processing-unit-geforce-256/ 17 http://www.machinelearning.org/archive/icml2009/papers/218.pdf 18 https://www.telegraph.co.uk/technology/2020/09/19/nvidia-boss
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that has a dedicated function with a larger mechanical or electronic system. Encapsulation A process of setting microchip in resin to protect it from damage. Graphics processing unit (GPU) A processor specialising in carrying out graphics tasks, but because it can process many pieces of data simultaneously it has been applied to
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semiconducting material, usually silicon. Also known as a chip or microchip. Logic chip The brains of electronic devices that include CPUs (central processing units), GPUs (graphical processing units) and NPUs (neural processing units, designed for machine learning applications). Memory chip An information storage unit that works alongside logic chips. Dynamic random access
The Means of Prediction: How AI Really Works (And Who Benefits)
by Maximilian Kasy · 15 Jan 2025 · 209pp · 63,332 words
the neurons: Almost all the calculations that need to be done for these functions amount to simple multiplications and additions. Specialized computer hardware (e.g., graphics processing units, or GPUs, and tensor processing units, or TPUs) has been built in recent years to do a large number of these multiplications and additions
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in recent years that are able to process a huge number of multiplications and additions in parallel (at the same time). These processors are called graphics processing units (GPUs) and tensor processing units (TPUs). GPUs were originally developed for computer graphics and gaming. The three-dimensional rendering of graphics requires a great
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GitHub, 85 go (game), 60–64 Goldin, Claudia, 155–56 Goldman Sachs, 4, 149 Google, 6, 60, 85, 87, 91 GPT-4, 55 gradient, 48 graphics processing units (GPUs), 49–50, 89–90 Guardian, The (newspaper), 123 Hamas, 31, 133 Haugen, Frances, 123 health insurance, AI applications in, 13, 143–44, 146
The Age of Extraction: How Tech Platforms Conquered the Economy and Threaten Our Future Prosperity
by Tim Wu · 4 Nov 2025 · 246pp · 65,143 words
access to computing resources at scale: ChatGPT estimates that GPT-3 used 3,640 petaflop/s-days of processing power using clusters of high-performance graphic processing units (GPUs) and that GPT-4 required over 10,000 petaflop/s-days.[14] (That said, the debut of China’s DeepSeek in 2025 suggested
The Icon Handbook
by Jon Hicks · 23 Jun 2011
be resized without losing quality. However, the more complex a vector image is, the larger its file size and the longer it takes for a graphics processing unit to process it. Bitmap images need much less processing, though, and for complex illustrations the file size can be dramatically smaller too. It’s
The Art of R Programming
by Norman Matloff · 404pp · 43,442 words
“extended example” approach to present fully worked-out demonstrations of how actual programs are debugged. • Today, multicore computers are common even in the home, and graphics processing unit (GPU) programming is waging a quiet revolution in scientific computing. An increasing number of R applications involve very large amounts of computation, and parallel
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textbook on parallel processing at http://heather.cs.ucdavis.edu/parprocbook. 16.3.6 GPU Programming Another type of shared-memory parallel hardware consists of graphics processing units (GPUs). If you have a sophisticated graphics card in your machine, say for playing games, you may not realize that it is also a
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variables, 9, 171–174 GNU debugger (GDB), 288, 327 GNU S language, xix GPU programming, 171, 345 GPUs (graphics processing units), 345 gputools package, 345–346 granularity, 348 graphical user interfaces (GUIs), xx graphics processing units (GPUs), 345 graphs, 261–283 customizing, 272–280 adding legends with legend() function, 270 adding lines with abline
Androids: The Team That Built the Android Operating System
by Chet Haase · 12 Aug 2021 · 580pp · 125,129 words
, 81, 97–98, 100, 102–109, 114, 127, 129–130, 136, 145, 156, 170, 174–177, 180, 195, 216, 232, 235–236, 242, 373, 375 Graphics Processing Unit (GPU) 62, 100, 104–108, 156, 238, 242, 270 Guy, Romain xiv, xviii, xxiii, 60, 84, 97, 123, 144–149, 152, 155–157, 166
Programming Android
by Zigurd Mednieks, Laird Dornin, G. Blake Meike and Masumi Nakamura · 15 Jul 2011
an entire scene that will be rendered by an engine that is not only outside the JVM, but probably running on another processor altogether (the Graphics Processing Unit, or GPU). Coordinating the two processors’ views of the screen is tricky. The SurfaceView, discussed earlier, is nearly sufficient. Its purpose is to create
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Maps Activity GPS (Global Positioning System), Location-Based Services, The Manifest and Layout Files, Using geo to update location GPU (Graphics Processing Unit), OpenGL Graphics gradients (drawing graphics), Shadows, Gradients, and Filters Graphics Processing Unit (GPU), OpenGL Graphics graphics, drawing, Rolling Your Own Widgets (see drawing graphics) gravity, Gravity GUI framework, Drawing 2D and
Python Data Analytics: With Pandas, NumPy, and Matplotlib
by Fabio Nelli · 27 Sep 2018 · 688pp · 107,867 words
to efficiently perform mathematical operations that are not those required by neural networks. But a new kind of hardware has developed in recent decades, the Graphics Processing Unit (GPU) , thanks to the enormous commercial drive of the videogames market. In fact this type of processor has been designed to manage more and
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value_counts() function Django Dropping E Eclipse (pyDev) Element-wise computation Expression-oriented programming F Financial data Flexible arithmetic methods Fonts, LaTeX G Gradient theory Graphics Processing Unit (GPU) Grouping Group iteration chain of transformations functions on groups mark() function quantiles() function GroupBy object H Handwriting recognition digits dataset handwritten digits, matplotlib
Valley of Genius: The Uncensored History of Silicon Valley (As Told by the Hackers, Founders, and Freaks Who Made It Boom)
by Adam Fisher · 9 Jul 2018 · 611pp · 188,732 words
make a Silicon Graphics machine drive that.” Jim Clark: Silicon Graphics was a company that primarily made what would now be called GPUs—special purpose graphics processing units—to accelerate graphics, so that people who used our equipment could visualize the models that they made. David Levitt: We used two Silicon Graphics
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starting Silicon Graphics with a group of my graduate students from Stanford. SGI was a company that primarily made what would now be called a graphics processing unit. The company grew to be quite large, $4 billion a year and ten thousand employees. Marc Andreessen: Silicon Graphics at that time was what
ZeroMQ
by Pieter Hintjens · 12 Mar 2013 · 1,025pp · 150,187 words
A sink that collects results back from the worker processes Figure 1-5. Parallel pipeline In reality, workers run on superfast boxes, perhaps using GPUs (graphic processing units) to do the hard math. Example 1-8 shows the code for the ventilator. It generates 100 tasks, each one a message telling the
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
by Stephen Witt · 8 Apr 2025 · 260pp · 82,629 words
Doing Data Science: Straight Talk From the Frontline
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The Metaverse: And How It Will Revolutionize Everything
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The Long History of the Future: Why Tomorrow's Technology Still Isn't Here
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Artificial Intelligence: A Modern Approach
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The Simulation Hypothesis
by Rizwan Virk · 31 Mar 2019 · 315pp · 89,861 words
Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy
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When Computers Can Think: The Artificial Intelligence Singularity
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Attack of the 50 Foot Blockchain: Bitcoin, Blockchain, Ethereum & Smart Contracts
by David Gerard · 23 Jul 2017 · 309pp · 54,839 words
The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
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RDF Database Systems: Triples Storage and SPARQL Query Processing
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The Road to Conscious Machines
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The Crux
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Driverless: Intelligent Cars and the Road Ahead
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The One Device: The Secret History of the iPhone
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On the Edge: The Art of Risking Everything
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Radical Technologies: The Design of Everyday Life
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Platform Revolution: How Networked Markets Are Transforming the Economy--And How to Make Them Work for You
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The Optimist: Sam Altman, OpenAI, and the Race to Invent the Future
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Why Machines Learn: The Elegant Math Behind Modern AI
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Bitcoin for the Befuddled
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Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
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Four Battlegrounds
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The Future Is Faster Than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives
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Superintelligence: Paths, Dangers, Strategies
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Hit Refresh: The Quest to Rediscover Microsoft's Soul and Imagine a Better Future for Everyone
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Augmented: Life in the Smart Lane
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Genius Makers: The Mavericks Who Brought A. I. To Google, Facebook, and the World
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Rule of the Robots: How Artificial Intelligence Will Transform Everything
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Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond: The Innovative Investor's Guide to Bitcoin and Beyond
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Pattern Breakers: Why Some Start-Ups Change the Future
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The Future of the Brain: Essays by the World's Leading Neuroscientists
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Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale
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Mastering Ethereum: Building Smart Contracts and DApps
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The Alignment Problem: Machine Learning and Human Values
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Surviving AI: The Promise and Peril of Artificial Intelligence
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Reset
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Elon Musk
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The Infinite Machine: How an Army of Crypto-Hackers Is Building the Next Internet With Ethereum
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Advances in Financial Machine Learning
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The Cryptopians: Idealism, Greed, Lies, and the Making of the First Big Cryptocurrency Craze
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Chokepoints: American Power in the Age of Economic Warfare
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The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
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Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity
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The Economic Singularity: Artificial Intelligence and the Death of Capitalism
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Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
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Supremacy: AI, ChatGPT, and the Race That Will Change the World
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Machine, Platform, Crowd: Harnessing Our Digital Future
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The Future of Money: How the Digital Revolution Is Transforming Currencies and Finance
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Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence
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Your Face Belongs to Us: A Secretive Startup's Quest to End Privacy as We Know It
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Inventors at Work: The Minds and Motivation Behind Modern Inventions
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The Deep Learning Revolution (The MIT Press)
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The Bitcoin Guidebook: How to Obtain, Invest, and Spend the World's First Decentralized Cryptocurrency
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Digital Gold: Bitcoin and the Inside Story of the Misfits and Millionaires Trying to Reinvent Money
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Seeking SRE: Conversations About Running Production Systems at Scale
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The Perfect Police State: An Undercover Odyssey Into China's Terrifying Surveillance Dystopia of the Future
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Artificial Intelligence: A Guide for Thinking Humans
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Bitcoin Internals: A Technical Guide to Bitcoin
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Finding Alphas: A Quantitative Approach to Building Trading Strategies
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The AI-First Company
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Rationality: What It Is, Why It Seems Scarce, Why It Matters
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I, Warbot: The Dawn of Artificially Intelligent Conflict
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Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World
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The Truth Machine: The Blockchain and the Future of Everything
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Mastering Blockchain: Unlocking the Power of Cryptocurrencies and Smart Contracts
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Applied Artificial Intelligence: A Handbook for Business Leaders
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The Art of Invisibility: The World's Most Famous Hacker Teaches You How to Be Safe in the Age of Big Brother and Big Data
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
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Personal Finance with Python
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Working in Public: The Making and Maintenance of Open Source Software
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The Quiet Damage: QAnon and the Destruction of the American Family
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Take the Money and Run: Sovereign Wealth Funds and the Demise of American Prosperity
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Hacker, Hoaxer, Whistleblower, Spy: The Story of Anonymous
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How the World Ran Out of Everything
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The Space Barons: Elon Musk, Jeff Bezos, and the Quest to Colonize the Cosmos
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