“‘Computer Hardware’ Tag”,2019-09-09

Bibliography for tag cs/hardware, most recent first: 1 related tag, 122 annotations, & 57 links (parent).

• See Also
• Gwern
  • “How Many Computers Are In Your Computer?”, Gwern2010
  • “Slowing Moore’s Law: How It Could Happen”, Gwern2012
• Links
  • “Refurb Weekend: the Symbolics MacIvory Lisp Machine”
  • “Evaluation of OpenAI O1: Opportunities and Challenges of AGI”, Zhong et al 2024
  • “[Yacht Laptops: More Dakka]”, 6510 2024
  • “Quantum Error Correction below the Surface Code Threshold”, Acharya et al 2024
  • “NAVIX: Scaling MiniGrid Environments With JAX”, Pignatelli et al 2024
  • “AI and Memory Wall”, Gholami et al 2024
  • “A 3D Nanoscale Optical Disk Memory With Petabit Capacity”, Zhao et al 2024
  • “Linux/4004: Slowly Booting Full Linux on the Intel 4004 CPU for Fun, Art, and Absolutely No Profit”, Grinberg2024
  • “Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial”, Dillavou et al 2023
  • “Application of the Thermodynamics of Radiation to Dyson Spheres As Work Extractors and Computational Engines, and Their Observational Consequences”, Wright2023
  • “Putting out the Hardware Dumpster Fire”, Fiedler et al 2023
  • “Universal Mechanical Polycomputation in Granular Matter”, Parsa et al 2023
  • “Arm Seeks to Raise Prices ahead of Hotly Anticipated IPO: SoftBank-Owned Group Aims to Charge More for Each Chip Design in Radical Shake-Up of Business Model”, Gross et al 2023
  • “Ultrafast Optical Switching and Data Encoding on Synthesized Light Fields”, Hui et al 2023
  • “We Stand to save $7m over 5 Years from Our Cloud Exit”, Hansson2023
  • “Optical Transformers”, Anderson et al 2023
  • “Google Wants RISC-V to Be a ‘tier-1’ Android Architecture: Google’s Keynote at the RISC-V Summit Promises Official, Polished Support”, Amadeo2023
  • “Deep Differentiable Logic Gate Networks”, Petersen et al 2022
  • “Deep Learning With Coherent VCSEL Neural Networks”, Chen et al 2022
  • “Twin Physically Unclonable Functions Based on Aligned Carbon Nanotube Arrays”, Zhong et al 2022
  • “Detecting Silent Data Corruptions in the Wild”, Dixit et al 2022
  • “Gigahertz Sub-Landauer Momentum Computing”, Ray & Crutchfield2022
  • “EvoJAX: Hardware-Accelerated Neuroevolution”, Tang et al 2022
  • “Accelerated Quality-Diversity for Robotics through Massive Parallelism”, Lim et al 2022
  • “Is Programmable Overhead Worth The Cost? How Much Do We Pay for a System to Be Programmable? It Depends upon Who You Ask”, Bailey2022
  • “Relational Memory: Native In-Memory Accesses on Rows and Columns”, Roozkhosh et al 2021
  • “Megaverse: Simulating Embodied Agents at One Million Experiences per Second”, Petrenko et al 2021
  • “Does Not Compute: Avoiding Pitfalls Assessing the Internet’s Energy and Carbon Impacts”, Koomey & Masanet2021
  • “Brax—A Differentiable Physics Engine for Large Scale Rigid Body Simulation”, Freeman et al 2021
  • “Cores That Don’t Count”, Hochschild et al 2021
  • “Scaling Scaling Laws With Board Games”, Jones2021
  • “Warehouse-Scale Video Acceleration (Argos): Co-Design and Deployment in the Wild”, Ranganathan et al 2021
  • “Silent Data Corruptions at Scale”, Dixit et al 2021
  • “The Semiconductor Supply Chain: Assessing National Competitiveness”, Khan et al 2021
  • “Scaling down Deep Learning”, Greydanus2020
  • “Fast Stencil-Code Computation on a Wafer-Scale Processor”, Rocki et al 2020
  • “A Time Leap Challenge for SAT Solving”, Fichte et al 2020
  • “Measuring Hardware Overhang”, hippke 2020
  • “There’s Plenty of Room at the Top: What Will Drive Computer Performance After Moore’s Law?”, Leiserson et al 2020
  • “Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques”, Kim et al 2020
  • “Measuring the Algorithmic Efficiency of Neural Networks”, Hernandez & Brown2020
  • “Chip Placement With Deep Reinforcement Learning”, Mirhoseini et al 2020
  • “Placement Optimization With Deep Reinforcement Learning”, Goldie & Mirhoseini2020
  • “Recalibrating Global Data Center Energy-Use Estimates”, Masanet et al 2020
  • “The 1-Bit Instrument: The Fundamentals of 1-Bit Synthesis, Their Implementational Implications, and Instrumental Possibilities”, Troise2020
  • “Mixed-Signal Neuromorphic Processors: Quo Vadis?”, Bavandpour et al 2019
  • “Ternary Circuits: Why R=3 Is Not the Optimal Radix for Computation”, Etiemble2019
  • “Spectre Is Here to Stay: An Analysis of Side-Channels and Speculative Execution”, Mcilroy et al 2019
  • “Role of Contacts in Long-Range Protein Conductance”, Zhang et al 2019
  • “ExSpectre: Hiding Malware in Speculative Execution”, Wampler2019
  • “Breaking POps/J Barrier With Analog Multiplier Circuits Based on Nonvolatile Memories”, Mahmoodi & Strukov2018
  • “Security, Moore’s Law, and the Anomaly of Cheap Complexity”, Flake2018
  • “Mechanical Computing Systems Using Only Links and Rotary Joints”, Merkle et al 2018
  • “Analogue Signal and Image Processing With Large Memristor Crossbars”, Li et al 2017b
  • “Computer Latency: 1977^–₄₀2017”, Luu2017
  • “Keyboard Latency”, Luu2017
  • “Beating Floating Point at Its Own Game: Posit Arithmetic”, Gustafson & Yonemoto2017
  • “Terminal Latency”, Luu2017
  • “Mechanical Turing Machine in Wood Explained”, Ridel2017
  • “Exponential Laws of Computing Growth: Moore’s Law Is One Small Component in an Exponentially Growing Planetary Computing Ecosystem”, Denning & Lewis2017
  • “Architecting Energy-Efficient STT-RAM Based Register File on GPGPUs via Delta Compression”, Zhang et al 2016b
  • “On Having No Head: Cognition throughout Biological Systems”, Baluška & Levin2016
  • “Typing With Pleasure”, Fatin2015
  • “Brainless but Multi-Headed: Decision Making by the Acellular Slime Mould Physarum Polycephalum”, Beekman & Latty2015
  • “Profiling a Warehouse-Scale Computer”, Kanev et al 2015
  • “An Interview With Fred Brooks”, Brooks & Shustek2015
  • “An Experimental Survey of Energy Management across the Stack”, Kambadur & Kim2014
  • “Computing’s Energy Problem (and What We Can Do about It)”, Horowitz2014b
  • “Algorithmic Progress in Six Domains”, Grace2013
  • “What It Takes to Run Stack Overflow”, Craver2013
  • “Intelligence Explosion Microeconomics”, Yudkowsky2013
  • “The International SAT Solver Competitions”, Järvisalo et al 2012
  • “The Thermodynamics of Prediction”, Still et al 2012
  • “Simultaneous Cat and External Keyboard Input Causing Kernel Panic”, Jyrinki2011
  • “Implications of Historical Trends in the Electrical Efficiency of Computing”, Koomey et al 2011
  • “Exploration of FPGA Interconnect for the Design of Unconventional Antennas”, Tavaragiri et al 2011
  • “Warehouse-Scale Computers to Exploit Request-Level and Data-Level Parallelism”, Hennessy & Patterson2011
  • “Exascale Computing: Technical Challenges”, Yelick2011
  • “Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers”, Ren et al 2010
  • “Debugging Behind the Iron Curtain [Chernobyl Radiation Coverup]”, Poznanski2010
  • “Understanding Sources of Inefficiency in General-Purpose Chips”, Hameed et al 2010
  • “Brick and Mortar Chip Fabrication”, Kim2008
  • “What Every Programmer Should Know About Memory”, Drepper2007
  • “Two Centuries of Productivity Growth in Computing”, Nordhaus2007
  • “When Slide Rules Ruled”, Stoll2006
  • “30 Years Later: Lessons from the Multics Security Evaluation”, Karger & Schell2002
  • “DARPA and the Quest for Machine Intelligence, 1983^–₁₀1993_31ya”, Roland & Shiman2002
  • “The Wheel of Reincarnation”, Hardy2002
  • “On Proebsting’s Law”, Scott2001
  • “It’s the Latency, Stupid”, Cheshire2001
  • “Thermodynamic Optimization of Geometry: T-Shaped & Y-Shaped Constructs of Fluid Streams”, Bejan et al 2000
  • “Ultimate Physical Limits to Computation”, Lloyd1999
  • “Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, Proebsting1998
  • “Constructal Tree Network for Fluid Flow between a Finite-Size Volume and One Source or Sink”, Bejan1997
  • “An Evolved Circuit, Intrinsic in Silicon, Entwined With Physics”, Thompson1997
  • “Mother Earth Mother Board”, Stephenson1996
  • “How Learning by Doing Is Done: Problem Identification in Novel Process Equipment”, Hippel & Tyre1995
  • Information and Secrecy: Vannevar Bush, Ultra, and the Other Memex, Burke1994
  • “Trail: a Track-Based Logging Disk Architecture for Zero-Overhead Writes”, Chiueh1993
  • “Cosmetics As a Potential Source of Particulate Contamination in the Clean Room”, Hauenstein1993
  • “Etymology of the Computer Bug: History and Folklore”, Shapiro1987
  • “The Symbolics Ivory Processor: A 40 Bit Tagged Architecture Lisp Microprocessor”, Baker et al 1987
  • “A Retrospective on the Dorado, a High-Performance Personal Computer”, Pier1983
  • “Conservative Logic”, Fredkin & Toffoli1982
  • “Bi-Continuous Extensions of Invertible Combinatorial Functions”, Toffoli1981
  • “Alpha-Particle-Induced Soft Errors in Dynamic Memories”, May & Woods1979
  • “On the Design of Display Processors”, Meyer & Sutherland1968
  • “FLODAC—A Pure Fluid Digital Computer”, Gluskin et al 1964
  • “Review of a Book by D. R. Hartree”, Good1951
  • “Some AI Koans”, Raymond2024
  • “Logitech MX Master 3 vs 2S Teardown: Our Favorite Mouse Got Even Better”
  • “Computing With Time: Microarchitectural Weird Machines”
  • “Napkin-Math: Techniques and Numbers for Estimating System’s Performance from First-Principles”, sirupsen 2024
  • “Richard Feynman and The Connection Machine”, Hillis2024
  • “How to Burn a Magnesium NeXT Cube”
  • “How IBM Invented Semiconductor Manufacturing Automation”
  • “Microsoft and Meta Join Google in Using AI to Help Run Their Data Centers”
  • “How to Build a $20 Billion Semiconductor Fab”
  • “The Effect of CRTs on Pixel Art”
  • “A Brief History of Liquid Computers”
  • “The Valve.Computer: A Modern 8-Bit Design, Built Using1950s Thermionic Valves”
  • “Harder Drive: Hard Drives We Didn’t Want or Need”, tom7 2024
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