Opportunistically Parallel Lambda Calculus
dl.acm.orgΒ·1dΒ·
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🌱Minimal Languages
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A hitchhiker's guide to CUDA programming
seanzhang.meΒ·1dΒ·
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πŸ”€SIMD Programming
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Enhancing Workflow Efficiency via Dynamic Task Prioritization & Adaptive Resource Allocation
dev.toΒ·1dΒ·
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πŸ“‹Task Queues
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Rethinking Networking for the AI/ML Era
lukew.comΒ·5h
πŸ“‹Task Queues
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Technology Short Take 189
blog.scottlowe.orgΒ·9h
🏰Capability Machines
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Challenging the Fastest OSS Workflow Engine
obeli.skΒ·14hΒ·
πŸ“‘Erlang BEAM
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.comΒ·6h
⚑Cache-Aware Algorithms
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The hidden technology that's supercharging AI and high-performance computing
xda-developers.comΒ·11h
πŸ’ΎZig Allocators
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Minimal Sufficiency: A Principle β€˜Similar’ to End-to-End
cacm.acm.orgΒ·4hΒ·
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πŸ“‘Protocol Stacks
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How fast can an LLM go?
fergusfinn.comΒ·1dΒ·
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πŸ—ΊοΈRegion Inference
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
youtube.comΒ·5hΒ·
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πŸ”€SIMD Programming
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Libevpl – event loop engine with unified abstractions for network and block I/O
github.comΒ·1dΒ·
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πŸ“œBytecode
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A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation
arxiv.orgΒ·18h
πŸŽͺActor Frameworks
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Getting Hardware for an "Always On" Server/Node
stacker.newsΒ·12h
🏰Capability Machines
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Implemented arc-lightning with Rust
reddit.comΒ·1dΒ·
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πŸ”’Rust Borrowing
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Myths Programmers Believe about CPU Caches
software.rajivprab.comΒ·22hΒ·
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🧠Memory Models
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How to Build Your First MCP Server using FastMCP
hackernoon.comΒ·16h
🎯Ring Buffers
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Where to Buy or Rent GPUs for LLM Inference: The 2026 GPU Procurement Guide
bentoml.comΒ·8hΒ·
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πŸ—ΊοΈRegion Inference
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Your Transformer is Secretly an EOT Solver
elonlit.comΒ·17hΒ·
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πŸͺœRecursive Descent
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Notes from RIPE 91
blog.apnic.netΒ·23h
🌐Network Protocols
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