Vectorizing for Fun and Performance
🎯CPU Dispatch
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Fungus: The Befunge CPU(2015)
🌳B+ Trees
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
🌙Lua
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Building a Rules Engine from First Principles
towardsdatascience.com·1d
⚖️Inference Rules
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MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons
semiengineering.com·10h
🌱Forth Kernels
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Symbolic Alchemy: Transmuting Linear Solvers into Lightning Speed by Arvind Sundararajan
🧩Constraint Solvers
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Wireless Sensor Networks as Parallel and Distributed Hardware Platform for Artificial Neural Networks
arxiv.org·22h
🔌Microcontrollers
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The next RISC-V processor frontier: AI
edn.com·15h
🔧RISC-V
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Show HN: Mach, a new systems language that focuses on being simple and explicit
🎭Racket Modules
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·16h
💬Smalltalk VMs
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Myths Programmers Believe about CPU Caches
🧠Memory Models
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MLPrE -- A tool for preprocessing and exploratory data analysis prior to machine learning model construction
arxiv.org·1d
🗺️Region Inference
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My first fifteen compilers (2019)
🔬Nanopasses
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Stochastic computing
scottlocklin.wordpress.com·9h
🖥️Lisp Machines
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Gröbner Bases Explained: From Abstract Algebra to Real-World Optimization
🧩Constraint Solvers
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From Lossy to Lossless Reasoning
🪜Recursive Descent
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Samsung & NVIDIA Join Forces to Build AI 'Super-Chip' Megafactory
androidheadlines.com·11h
🔌Microcontrollers
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