‘computer hardware’ tag
- See Also
- Gwern
-
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”, Grinberg 2024
- “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”, Wright 2023
- “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”, Hansson 2023
- “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”, Amadeo 2023
- “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 & Crutchfield 2022
- “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”, Bailey 2022
- “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 & Masanet 2021
- “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”, Jones 2021
- “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”, Greydanus 2020
- “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 & Brown 2020
- “Chip Placement With Deep Reinforcement Learning”, Mirhoseini et al 2020
- “Placement Optimization With Deep Reinforcement Learning”, Goldie & Mirhoseini 2020
- “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”, Troise 2020
- “Mixed-Signal Neuromorphic Processors: Quo Vadis?”, Bavandpour et al 2019
- “Ternary Circuits: Why R=3 Is Not the Optimal Radix for Computation”, Etiemble 2019
- “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”, Wampler 2019
- “Breaking POps/J Barrier With Analog Multiplier Circuits Based on Nonvolatile Memories”, Mahmoodi & Strukov 2018
- “Security, Moore’s Law, and the Anomaly of Cheap Complexity”, Flake 2018
- “Mechanical Computing Systems Using Only Links and Rotary Joints”, Merkle et al 2018
- “Paper As a Substrate for Circuits”
- “Analogue Signal and Image Processing With Large Memristor Crossbars”, Li et al 2017b
- “Computer Latency: 1977–2017”, Luu 2017
- “Keyboard Latency”, Luu 2017
- “Beating Floating Point at Its Own Game: Posit Arithmetic”, Gustafson & Yonemoto 2017
- “Terminal Latency”, Luu 2017
- “Mechanical Turing Machine in Wood Explained”, Ridel 2017
- “Exponential Laws of Computing Growth: Moore’s Law Is One Small Component in an Exponentially Growing Planetary Computing Ecosystem”, Denning & Lewis 2017
- “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 & Levin 2016
- “Typing With Pleasure”, Fatin 2015
- “Brainless but Multi-Headed: Decision Making by the Acellular Slime Mould Physarum Polycephalum”, Beekman & Latty 2015
- “Profiling a Warehouse-Scale Computer”, Kanev et al 2015
- “An Interview With Fred Brooks”, Brooks & Shustek 2015
- “An Experimental Survey of Energy Management across the Stack”, Kambadur & Kim 2014
- “Computing’s Energy Problem (and What We Can Do about It)”, Horowitz 2014b
- “Algorithmic Progress in Six Domains”, Grace 2013
- “What It Takes to Run Stack Overflow”, Craver 2013
- “Intelligence Explosion Microeconomics”, Yudkowsky 2013
- “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”, Jyrinki 2011
- “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 & Patterson 2011
- “Exascale Computing: Technical Challenges”, Yelick 2011
- “Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers”, Ren et al 2010
- “Debugging Behind the Iron Curtain [Chernobyl Radiation Coverup]”, Poznanski 2010
- “Understanding Sources of Inefficiency in General-Purpose Chips”, Hameed et al 2010
- “Brick and Mortar Chip Fabrication”, Kim 2008
- “What Every Programmer Should Know About Memory”, Drepper 2007
- “Two Centuries of Productivity Growth in Computing”, Nordhaus 2007
- “When Slide Rules Ruled”, Stoll 2006
- “30 Years Later: Lessons from the Multics Security Evaluation”, Karger & Schell 2002
- “DARPA and the Quest for Machine Intelligence, 1983–1993”, Roland & Shiman 2002
- “The Wheel of Reincarnation”, Hardy 2002
- “On Proebsting’s Law”, Scott 2001
- “It’s the Latency, Stupid”, Cheshire 2001
- “Thermodynamic Optimization of Geometry: T-Shaped & Y-Shaped Constructs of Fluid Streams”, Bejan et al 2000
- “Ultimate Physical Limits to Computation”, Lloyd 1999
- “Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, Proebsting 1998
- “Constructal Tree Network for Fluid Flow between a Finite-Size Volume and One Source or Sink”, Bejan 1997
- “An Evolved Circuit, Intrinsic in Silicon, Entwined With Physics”, Thompson 1997
- “Mother Earth Mother Board”, Stephenson 1996
- “How Learning by Doing Is Done: Problem Identification in Novel Process Equipment”, Hippel & Tyre 1995
- Information and Secrecy: Vannevar Bush, Ultra, and the Other Memex, Burke 1994
- “Trail: a Track-Based Logging Disk Architecture for Zero-Overhead Writes”, Chiueh 1993
- “Cosmetics As a Potential Source of Particulate Contamination in the Clean Room”, Hauenstein 1993
- “Etymology of the Computer Bug: History and Folklore”, Shapiro 1987
- “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”, Pier 1983
- “Conservative Logic”, Fredkin & Toffoli 1982
- “Bi-Continuous Extensions of Invertible Combinatorial Functions”, Toffoli 1981
- “Alpha-Particle-Induced Soft Errors in Dynamic Memories”, May & Woods 1979
- “On the Design of Display Processors”, Meyer & Sutherland 1968
- “FLODAC—A Pure Fluid Digital Computer”, Gluskin et al 1964
- “Review of a Book by D. R. Hartree”, Good 1951
- “Some AI Koans”, Raymond 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”, Hillis 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 Using 1950s Thermionic Valves”
- “Harder Drive: Hard Drives We Didn’t Want or Need”, tom7 2024
- Sort By Magic
- Wikipedia
- Miscellaneous
- Bibliography
See Also
Gwern
“How Many Computers Are In Your Computer?”, Gwern 2010
“Slowing Moore’s Law: How It Could Happen”, Gwern 2012
Links
“Refurb Weekend: the Symbolics MacIvory Lisp Machine”
“Evaluation of OpenAI O1: Opportunities and Challenges of AGI”, Zhong et al 2024
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
“[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”, Grinberg 2024
Linux/4004: Slowly booting full Linux on the Intel 4004 CPU for fun, art, and absolutely no profit:
“Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial”, Dillavou et al 2023
Machine Learning Without a Processor: Emergent Learning in a Nonlinear Electronic Metamaterial
“Application of the Thermodynamics of Radiation to Dyson Spheres As Work Extractors and Computational Engines, and Their Observational Consequences”, Wright 2023
“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
Ultrafast optical switching and data encoding on synthesized light fields
“We Stand to save $7m over 5 Years from Our Cloud Exit”, Hansson 2023
“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”, Amadeo 2023
“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
Twin physically unclonable functions based on aligned carbon nanotube arrays
“Detecting Silent Data Corruptions in the Wild”, Dixit et al 2022
“Gigahertz Sub-Landauer Momentum Computing”, Ray & Crutchfield 2022
“EvoJAX: Hardware-Accelerated Neuroevolution”, Tang et al 2022
“Accelerated Quality-Diversity for Robotics through Massive Parallelism”, Lim et al 2022
Accelerated Quality-Diversity for Robotics through Massive Parallelism
“Is Programmable Overhead Worth The Cost? How Much Do We Pay for a System to Be Programmable? It Depends upon Who You Ask”, Bailey 2022
“Relational Memory: Native In-Memory Accesses on Rows and Columns”, Roozkhosh et al 2021
Relational Memory: Native In-Memory Accesses on Rows and Columns
“Megaverse: Simulating Embodied Agents at One Million Experiences per Second”, Petrenko et al 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
“Does Not Compute: Avoiding Pitfalls Assessing the Internet’s Energy and Carbon Impacts”, Koomey & Masanet 2021
Does not compute: Avoiding pitfalls assessing the Internet’s energy and carbon impacts:
View PDF:
“Brax—A Differentiable Physics Engine for Large Scale Rigid Body Simulation”, Freeman et al 2021
Brax—A Differentiable Physics Engine for Large Scale Rigid Body Simulation
“Cores That Don’t Count”, Hochschild et al 2021
“Scaling Scaling Laws With Board Games”, Jones 2021
“Warehouse-Scale Video Acceleration (Argos): Co-Design and Deployment in the Wild”, Ranganathan et al 2021
Warehouse-Scale Video Acceleration (Argos): Co-design and Deployment in the Wild
“Silent Data Corruptions at Scale”, Dixit et al 2021
“The Semiconductor Supply Chain: Assessing National Competitiveness”, Khan et al 2021
The Semiconductor Supply Chain: Assessing National Competitiveness
“Scaling down Deep Learning”, Greydanus 2020
“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
There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
“Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques”, Kim et al 2020
Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques
“Measuring the Algorithmic Efficiency of Neural Networks”, Hernandez & Brown 2020
“Chip Placement With Deep Reinforcement Learning”, Mirhoseini et al 2020
“Placement Optimization With Deep Reinforcement Learning”, Goldie & Mirhoseini 2020
“Recalibrating Global Data Center Energy-Use Estimates”, Masanet et al 2020
Recalibrating global data center energy-use estimates:
View PDF:
“The 1-Bit Instrument: The Fundamentals of 1-Bit Synthesis, Their Implementational Implications, and Instrumental Possibilities”, Troise 2020
“Mixed-Signal Neuromorphic Processors: Quo Vadis?”, Bavandpour et al 2019
“Ternary Circuits: Why R=3 Is Not the Optimal Radix for Computation”, Etiemble 2019
Ternary circuits: why R=3 is not the Optimal Radix for Computation
“Spectre Is Here to Stay: An Analysis of Side-Channels and Speculative Execution”, Mcilroy et al 2019
Spectre is here to stay: An analysis of side-channels and speculative execution
“Role of Contacts in Long-Range Protein Conductance”, Zhang et al 2019
“ExSpectre: Hiding Malware in Speculative Execution”, Wampler 2019
“Breaking POps/J Barrier With Analog Multiplier Circuits Based on Nonvolatile Memories”, Mahmoodi & Strukov 2018
Breaking POps/J Barrier with Analog Multiplier Circuits Based on Nonvolatile Memories
“Security, Moore’s Law, and the Anomaly of Cheap Complexity”, Flake 2018
“Mechanical Computing Systems Using Only Links and Rotary Joints”, Merkle et al 2018
Mechanical Computing Systems Using Only Links and Rotary Joints
“Paper As a Substrate for Circuits”
“Analogue Signal and Image Processing With Large Memristor Crossbars”, Li et al 2017b
Analogue signal and image processing with large memristor crossbars
“Computer Latency: 1977–2017”, Luu 2017
“Keyboard Latency”, Luu 2017
“Beating Floating Point at Its Own Game: Posit Arithmetic”, Gustafson & Yonemoto 2017
“Terminal Latency”, Luu 2017
“Mechanical Turing Machine in Wood Explained”, Ridel 2017
Mechanical Turing Machine in Wood Explained:
View PDF:
“Exponential Laws of Computing Growth: Moore’s Law Is One Small Component in an Exponentially Growing Planetary Computing Ecosystem”, Denning & Lewis 2017
View PDF:
“Architecting Energy-Efficient STT-RAM Based Register File on GPGPUs via Delta Compression”, Zhang et al 2016b
Architecting energy-efficient STT-RAM based register file on GPGPUs via delta compression
“On Having No Head: Cognition throughout Biological Systems”, Baluška & Levin 2016
“Typing With Pleasure”, Fatin 2015
“Brainless but Multi-Headed: Decision Making by the Acellular Slime Mould Physarum Polycephalum”, Beekman & Latty 2015
Brainless but Multi-Headed: Decision Making by the Acellular Slime Mould Physarum polycephalum
“Profiling a Warehouse-Scale Computer”, Kanev et al 2015
“An Interview With Fred Brooks”, Brooks & Shustek 2015
“An Experimental Survey of Energy Management across the Stack”, Kambadur & Kim 2014
An experimental survey of energy management across the stack
“Computing’s Energy Problem (and What We Can Do about It)”, Horowitz 2014b
“Algorithmic Progress in Six Domains”, Grace 2013
“What It Takes to Run Stack Overflow”, Craver 2013
“Intelligence Explosion Microeconomics”, Yudkowsky 2013
“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”, Jyrinki 2011
Simultaneous cat and external keyboard input causing kernel panic
“Implications of Historical Trends in the Electrical Efficiency of Computing”, Koomey et al 2011
Implications of Historical Trends in the Electrical Efficiency of Computing
“Exploration of FPGA Interconnect for the Design of Unconventional Antennas”, Tavaragiri et al 2011
Exploration of FPGA interconnect for the design of unconventional antennas
“Warehouse-Scale Computers to Exploit Request-Level and Data-Level Parallelism”, Hennessy & Patterson 2011
Warehouse-Scale Computers to Exploit Request-Level and Data-Level Parallelism:
“Exascale Computing: Technical Challenges”, Yelick 2011
Exascale Computing: Technical Challenges:
View PDF:
“Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers”, Ren et al 2010
Google-Wide Profiling: A Continuous Profiling Infrastructure for Data Centers
“Debugging Behind the Iron Curtain [Chernobyl Radiation Coverup]”, Poznanski 2010
Debugging Behind the Iron Curtain [Chernobyl radiation coverup]:
“Understanding Sources of Inefficiency in General-Purpose Chips”, Hameed et al 2010
Understanding sources of inefficiency in general-purpose chips
“Brick and Mortar Chip Fabrication”, Kim 2008
“What Every Programmer Should Know About Memory”, Drepper 2007
“Two Centuries of Productivity Growth in Computing”, Nordhaus 2007
“When Slide Rules Ruled”, Stoll 2006
View PDF:
“30 Years Later: Lessons from the Multics Security Evaluation”, Karger & Schell 2002
30 years later: lessons from the Multics security evaluation
“DARPA and the Quest for Machine Intelligence, 1983–1993”, Roland & Shiman 2002
“The Wheel of Reincarnation”, Hardy 2002
“On Proebsting’s Law”, Scott 2001
“It’s the Latency, Stupid”, Cheshire 2001
“Thermodynamic Optimization of Geometry: T-Shaped & Y-Shaped Constructs of Fluid Streams”, Bejan et al 2000
Thermodynamic optimization of geometry: T-shaped & Y-shaped constructs of fluid streams
“Ultimate Physical Limits to Computation”, Lloyd 1999
“Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, Proebsting 1998
Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years
“Constructal Tree Network for Fluid Flow between a Finite-Size Volume and One Source or Sink”, Bejan 1997
Constructal tree network for fluid flow between a finite-size volume and one source or sink
“An Evolved Circuit, Intrinsic in Silicon, Entwined With Physics”, Thompson 1997
An evolved circuit, intrinsic in silicon, entwined with physics
“Mother Earth Mother Board”, Stephenson 1996
“How Learning by Doing Is Done: Problem Identification in Novel Process Equipment”, Hippel & Tyre 1995
How learning by doing is done: problem identification in novel process equipment
Information and Secrecy: Vannevar Bush, Ultra, and the Other Memex, Burke 1994
Information and Secrecy: Vannevar Bush, Ultra, and the Other Memex:
“Trail: a Track-Based Logging Disk Architecture for Zero-Overhead Writes”, Chiueh 1993
Trail: a track-based logging disk architecture for zero-overhead writes
“Cosmetics As a Potential Source of Particulate Contamination in the Clean Room”, Hauenstein 1993
Cosmetics as a Potential Source of Particulate Contamination in the Clean Room
“Etymology of the Computer Bug: History and Folklore”, Shapiro 1987
Etymology of the Computer Bug: History and Folklore:
View PDF:
“The Symbolics Ivory Processor: A 40 Bit Tagged Architecture Lisp Microprocessor”, Baker et al 1987
The Symbolics Ivory Processor: A 40 Bit Tagged Architecture Lisp Microprocessor:
View PDF:
“A Retrospective on the Dorado, a High-Performance Personal Computer”, Pier 1983
A Retrospective on the Dorado, a High-Performance Personal Computer
“Conservative Logic”, Fredkin & Toffoli 1982
“Bi-Continuous Extensions of Invertible Combinatorial Functions”, Toffoli 1981
Bi-continuous extensions of invertible combinatorial functions
“Alpha-Particle-Induced Soft Errors in Dynamic Memories”, May & Woods 1979
“On the Design of Display Processors”, Meyer & Sutherland 1968
“FLODAC—A Pure Fluid Digital Computer”, Gluskin et al 1964
FLODAC—A Pure Fluid Digital Computer:
View PDF:
“Review of a Book by D. R. Hartree”, Good 1951
“Some AI Koans”, Raymond 2024
“Logitech MX Master 3 vs 2S Teardown: Our Favorite Mouse Got Even Better”
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
napkin-math: Techniques and numbers for estimating system’s performance from first-principles
“Richard Feynman and The Connection Machine”, Hillis 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”
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 Using 1950s Thermionic Valves”
The Valve.Computer: A modern 8-bit design, built using 1950s thermionic valves
“Harder Drive: Hard Drives We Didn’t Want or Need”, tom7 2024
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
hardware-latency
memory-errors
chip-design
Wikipedia
Miscellaneous
-
/doc/cs/hardware/2021-billdally-dackeynote-figure2-nvidiaenergyoverhead.jpg: -
/doc/cs/hardware/2021-khan-figure17-2019nationalithographysharesbyfirmhq.jpg: -
/doc/cs/hardware/2021-ranganathan-table1-videoencodingtcoimprovements.png: -
/doc/cs/hardware/2015-fatin-typingwithpleasure-windowstexteditorlatency.png: -
/doc/cs/hardware/2010-bates.pdf:View PDF:
-
/doc/cs/hardware/2010-nordhaus-nordhaus2007twocenturiesofproductivitygrowthincomputing-appendix.xlsx: -
/doc/cs/hardware/2003-ross.pdf:View PDF:
-
/doc/cs/algorithm/1956-shannon.pdf:View PDF:
-
https://andyljones.com/megastep/:View External Link:
-
https://blog.stuffedcow.net/2019/09/hard-disk-geometry-microbenchmarking/: -
https://cacm.acm.org/research/the-decline-of-computers-as-a-general-purpose-technology/ -
https://classic.esquire.com/article/share/58ff278a-21da-4ee4-a446-b7f451b90275 -
https://cloud.google.com/blog/topics/systems/the-evolution-of-googles-jupiter-data-center-network -
https://computeradsfromthepast.substack.com/p/byte-interview-with-the-creators -
https://danluu.com/deconstruct-files/:View External Link:
-
https://danluu.com/new-cpu-features/:View External Link:
-
https://hackaday.com/2017/12/14/adsl-robustness-verified-by-running-over-wet-string/: -
https://newsletter.shifthappens.site/archive/the-cursed-universes-of-dana-sibera/ -
https://semiengineering.com/uneven-circuit-aging-becoming-a-bigger-problem/ -
https://voltagedivide.com/2024/03/18/unconventional-uses-of-fpgas/: -
https://web.archive.org/web/20170815022856/http://acarol.woz.org/LegoDifferenceEngine.html: -
https://web.archive.org/web/20200405194914/https://toki.increpare.com/ilo-sitelen/: -
https://www.filfre.net/2023/05/the-next-generation-in-graphics-part-2-three-dimensions-in-hardware/: -
https://www.filfre.net/2023/05/the-next-generation-in-graphics-part-3-software-meets-hardware/: -
https://www.frontiersin.org/journals/science/articles/10.3389/fsci.2023.1017235/full -
https://www.nextplatform.com/2023/01/24/building-the-perfect-memory-bandwidth-beast/: -
https://www.nytimes.com/2024/02/08/science/walter-shawlee-dead.html -
https://www.revk.uk/2017/12/its-official-adsl-works-over-wet-string.html: -
https://www.winestockwebdesign.com/Essays/Eternal_Mainframe.html -
https://www.wired.com/story/book-excerpt-science-of-ultra-pure-silicon/:View External Link:
https://www.wired.com/story/book-excerpt-science-of-ultra-pure-silicon/ -
https://www.wired.com/story/why-the-floppy-disk-just-wont-die/:View External Link:
https://www.wired.com/story/why-the-floppy-disk-just-wont-die/ -
https://www.xilinx.com/prs_rls/silicon_spart/0333spartan3.htm
Bibliography
-
https://arxiv.org/abs/2305.17872: “Universal Mechanical Polycomputation in Granular Matter”, -
https://www.ft.com/content/25ea2570-264d-472d-8ef8-3a02003e87ab: “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”, -
https://world.hey.com/dhh/we-stand-to-save-7m-over-five-years-from-our-cloud-exit-53996caa: “We Stand to save $7m over 5 Years from Our Cloud Exit”, -
https://arstechnica.com/gadgets/2023/01/google-announces-official-android-support-for-risc-v/: “Google Wants RISC-V to Be a ‘tier-1’ Android Architecture: Google's Keynote at the RISC-V Summit Promises Official, Polished Support”, -
https://arxiv.org/abs/2202.05008#google: “EvoJAX: Hardware-Accelerated Neuroevolution”, -
https://semiengineering.com/is-programmable-overhead-worth-the-cost/: “Is Programmable Overhead Worth The Cost? How Much Do We Pay for a System to Be Programmable? It Depends upon Who You Ask”, -
https://arxiv.org/abs/2106.13281#google: “Brax—A Differentiable Physics Engine for Large Scale Rigid Body Simulation”, -
https://greydanus.github.io/2020/12/01/scaling-down/: “Scaling down Deep Learning”, -
https://danluu.com/keyboard-latency/: “Keyboard Latency”, -
2014-kambadur.pdf: “An Experimental Survey of Energy Management across the Stack”, -
2010-hameed.pdf: “Understanding Sources of Inefficiency in General-Purpose Chips”, -
2002-karger.pdf: “30 Years Later: Lessons from the Multics Security Evaluation”, -
http://www.cap-lore.com/Hardware/Wheel.html: “The Wheel of Reincarnation”, -
1997-bejan.pdf: “Constructal Tree Network for Fluid Flow between a Finite-Size Volume and One Source or Sink”,