“‘Computer Hardware’ Tag”,2019-09-09
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Bibliography for tag
cs/hardware, most recent first: 1 related tag, 122 annotations, & 57 links (parent).
- See Also
- Gwern
- Links
- “Refurb Weekend: the Symbolics MacIvory Lisp Machine”
- “Evaluation of OpenAI O1: Opportunities and Challenges of AGI”, et al 2024
- “[Yacht Laptops: More Dakka]”, 6510 2024
- “Quantum Error Correction below the Surface Code Threshold”, et al 2024
- “NAVIX: Scaling MiniGrid Environments With JAX”, et al 2024
- “AI and Memory Wall”, et al 2024
- “A 3D Nanoscale Optical Disk Memory With Petabit Capacity”, et al 2024
- “Linux/4004: Slowly Booting Full Linux on the Intel 4004 CPU for Fun, Art, and Absolutely No Profit”, 2024
- “Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial”, et al 2023
- “Application of the Thermodynamics of Radiation to Dyson Spheres As Work Extractors and Computational Engines, and Their Observational Consequences”, 2023
- “Putting out the Hardware Dumpster Fire”, et al 2023
- “Universal Mechanical Polycomputation in Granular Matter”, 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”, et al 2023
- “Ultrafast Optical Switching and Data Encoding on Synthesized Light Fields”, et al 2023
- “We Stand to save $7m over 5 Years from Our Cloud Exit”, 2023
- “Optical Transformers”, 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”, 2023
- “Deep Differentiable Logic Gate Networks”, et al 2022
- “Deep Learning With Coherent VCSEL Neural Networks”, et al 2022
- “Twin Physically Unclonable Functions Based on Aligned Carbon Nanotube Arrays”, et al 2022
- “Detecting Silent Data Corruptions in the Wild”, et al 2022
- “Gigahertz Sub-Landauer Momentum Computing”, 2022
- “EvoJAX: Hardware-Accelerated Neuroevolution”, et al 2022
- “Accelerated Quality-Diversity for Robotics through Massive Parallelism”, 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”, 2022
- “Relational Memory: Native In-Memory Accesses on Rows and Columns”, et al 2021
- “Megaverse: Simulating Embodied Agents at One Million Experiences per Second”, et al 2021
- “Does Not Compute: Avoiding Pitfalls Assessing the Internet’s Energy and Carbon Impacts”, 2021
- “Brax—A Differentiable Physics Engine for Large Scale Rigid Body Simulation”, et al 2021
- “Cores That Don’t Count”, et al 2021
- “Scaling Scaling Laws With Board Games”, 2021
- “Warehouse-Scale Video Acceleration (Argos): Co-Design and Deployment in the Wild”, et al 2021
- “Silent Data Corruptions at Scale”, et al 2021
- “The Semiconductor Supply Chain: Assessing National Competitiveness”, et al 2021
- “Scaling down Deep Learning”, 2020
- “Fast Stencil-Code Computation on a Wafer-Scale Processor”, et al 2020
- “A Time Leap Challenge for SAT Solving”, 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?”, et al 2020
- “Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques”, et al 2020
- “Measuring the Algorithmic Efficiency of Neural Networks”, 2020
- “Chip Placement With Deep Reinforcement Learning”, et al 2020
- “Placement Optimization With Deep Reinforcement Learning”, 2020
- “Recalibrating Global Data Center Energy-Use Estimates”, et al 2020
- “The 1-Bit Instrument: The Fundamentals of 1-Bit Synthesis, Their Implementational Implications, and Instrumental Possibilities”, 2020
- “Mixed-Signal Neuromorphic Processors: Quo Vadis?”, et al 2019
- “Ternary Circuits: Why R=3 Is Not the Optimal Radix for Computation”, 2019
- “Spectre Is Here to Stay: An Analysis of Side-Channels and Speculative Execution”, et al 2019
- “Role of Contacts in Long-Range Protein Conductance”, et al 2019
- “ExSpectre: Hiding Malware in Speculative Execution”, 2019
- “Breaking POps/J Barrier With Analog Multiplier Circuits Based on Nonvolatile Memories”, 2018
- “Security, Moore’s Law, and the Anomaly of Cheap Complexity”, 2018
- “Mechanical Computing Systems Using Only Links and Rotary Joints”, et al 2018
- “Analogue Signal and Image Processing With Large Memristor Crossbars”, et al 2017b
- “Computer Latency: 1977–402017”, 2017
- “Keyboard Latency”, 2017
- “Beating Floating Point at Its Own Game: Posit Arithmetic”, 2017
- “Terminal Latency”, 2017
- “Mechanical Turing Machine in Wood Explained”, 2017
- “Exponential Laws of Computing Growth: Moore’s Law Is One Small Component in an Exponentially Growing Planetary Computing Ecosystem”, 2017
- “Architecting Energy-Efficient STT-RAM Based Register File on GPGPUs via Delta Compression”, et al 2016b
- “On Having No Head: Cognition throughout Biological Systems”, 2016
- “Typing With Pleasure”, 2015
- “Brainless but Multi-Headed: Decision Making by the Acellular Slime Mould Physarum Polycephalum”, 2015
- “Profiling a Warehouse-Scale Computer”, et al 2015
- “An Interview With Fred Brooks”, 2015
- “An Experimental Survey of Energy Management across the Stack”, 2014
- “Computing’s Energy Problem (and What We Can Do about It)”, 2014b
- “Algorithmic Progress in Six Domains”, 2013
- “What It Takes to Run Stack Overflow”, 2013
- “Intelligence Explosion Microeconomics”, 2013
- “The International SAT Solver Competitions”, et al 2012
- “The Thermodynamics of Prediction”, et al 2012
- “Simultaneous Cat and External Keyboard Input Causing Kernel Panic”, 2011
- “Implications of Historical Trends in the Electrical Efficiency of Computing”, et al 2011
- “Exploration of FPGA Interconnect for the Design of Unconventional Antennas”, et al 2011
- “Warehouse-Scale Computers to Exploit Request-Level and Data-Level Parallelism”, 2011
- “Exascale Computing: Technical Challenges”, 2011
- “Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers”, et al 2010
- “Debugging Behind the Iron Curtain [Chernobyl Radiation Coverup]”, 2010
- “Understanding Sources of Inefficiency in General-Purpose Chips”, et al 2010
- “Brick and Mortar Chip Fabrication”, 2008
- “What Every Programmer Should Know About Memory”, 2007
- “Two Centuries of Productivity Growth in Computing”, 2007
- “When Slide Rules Ruled”, 2006
- “30 Years Later: Lessons from the Multics Security Evaluation”, 2002
- “DARPA and the Quest for Machine Intelligence, 1983–10199331ya”, 2002
- “The Wheel of Reincarnation”, 2002
- “On Proebsting’s Law”, 2001
- “It’s the Latency, Stupid”, 2001
- “Thermodynamic Optimization of Geometry: T-Shaped & Y-Shaped Constructs of Fluid Streams”, et al 2000
- “Ultimate Physical Limits to Computation”, 1999
- “Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, 1998
- “Constructal Tree Network for Fluid Flow between a Finite-Size Volume and One Source or Sink”, 1997
- “An Evolved Circuit, Intrinsic in Silicon, Entwined With Physics”, 1997
- “Mother Earth Mother Board”, 1996
- “How Learning by Doing Is Done: Problem Identification in Novel Process Equipment”, 1995
- Information and Secrecy: Vannevar Bush, Ultra, and the Other Memex, 1994
- “Trail: a Track-Based Logging Disk Architecture for Zero-Overhead Writes”, 1993
- “Cosmetics As a Potential Source of Particulate Contamination in the Clean Room”, 1993
- “Etymology of the Computer Bug: History and Folklore”, 1987
- “The Symbolics Ivory Processor: A 40 Bit Tagged Architecture Lisp Microprocessor”, et al 1987
- “A Retrospective on the Dorado, a High-Performance Personal Computer”, 1983
- “Conservative Logic”, 1982
- “Bi-Continuous Extensions of Invertible Combinatorial Functions”, 1981
- “Alpha-Particle-Induced Soft Errors in Dynamic Memories”, 1979
- “On the Design of Display Processors”, 1968
- “FLODAC—A Pure Fluid Digital Computer”, et al 1964
- “Review of a Book by D. R. Hartree”, 1951
- “Some AI Koans”, 2024
- “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”, 2024
- “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 1950s Thermionic Valves”
- “Harder Drive: Hard Drives We Didn’t Want or Need”, tom7 2024
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