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CPU-less parallel execution of lambda calculus in digital logic
arxiv.org·14h
📏Linear Scanning
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Making an LSP for great good
thunderseethe.dev·19h·
Discuss: Lobsters, Hacker News
✨Gleam
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FlashAttention 4: Faster, Memory-Efficient Attention for LLMs
digitalocean.com·7h
🗺️Region Inference
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Modernizing Legacy C Systems: Safe Rust Integration Without Complete Rewrites
dev.to·5h·
Discuss: DEV
🏗️Cranelift
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Introducing Names: practical namespaces for Emacs-Lisp
endlessparentheses.com·5h
🔧Scheme Macros
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istmarc/tenseur: C++23 Tensor, neural networks and mathematical library
github.com·54m·
Discuss: r/cpp
🦀MIR Optimization
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Functional Logic Program Transformations
arxiv.org·14h
🏭Functional Compilers
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Managing Memory During ML Compilation
sachinjoglekar.substack.com·2d·
Discuss: Substack
🗺️Region Inference
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Rust async combinators for elegant and secure concurrency
kerkour.com·13h·
Discuss: r/rust
🪆Embedded DSLs
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SHADOW: Simultaneous Multi-Threading Architecture with Asymmetric Threads
danglingpointers.substack.com·1d·
Discuss: Substack
🤝Cooperative Threading
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MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot
venturebeat.com·22h·
Discuss: r/technews
🪜Recursive Descent
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Scheme implementation as O’Reilly book via Claude Code
ezzeriesa.notion.site·1d·
Discuss: Hacker News
🔧Scheme Macros
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No Libraries No Shortcuts: Reasoning LLMs from Scratch with PyTorch — Part 2
pub.towardsai.net
·1d
🌱Minimal ML
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Designing a Programming Language for the Desert
futhark-lang.org·3h·
Discuss: Hacker News
🔄Bootstrapping
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Elysia.js: Type-Safe APIs Without the Mess
spin.atomicobject.com·1d
🔧API Design
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PHPStan Now 25~40% Faster For Static Analysis
phoronix.com·8h
🏃Escape Analysis
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Using Local LLMs to Discover High-Performance Algorithms
towardsdatascience.com·2d
🦀MIR Optimization
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Patterns All the Way Down: A Generalization for Graph-Like Things
medium.com·2h·
Discuss: Hacker News
🪢Rope Data Structures
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Pavis: A Dumb Proxy for Boring Reloads
fabian4.site·3h·
Discuss: Hacker News
🦀MIR Optimization
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🎙️We’ve Built the Fastest Way to Run LLMs in Production (50x faster than LiteLLM) 🔥
dev.to·1d·
Discuss: DEV
🦀MIR Optimization
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