The Evolution of GPUs: How Floating-Point Changed Computing
dell.com·1h·
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Fungus: The Befunge CPU(2015)
bedroomlan.org·1d·
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A hitchhiker's guide to CUDA programming
seanzhang.me·2d·
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Myths Programmers Believe about CPU Caches
software.rajivprab.com·2d·
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China solves 'century-old problem' with new analog chip that is 1,000 times faster than high-end Nvidia GPUs
livescience.com·2d·
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Cycle-accurate 6502 emulator as coroutine in Rust
github.com·1d·
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Generation at the Speed of Thought: Speculative Decoding
bittere.substack.com·4h·
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No Cap, This Memory Slaps: Breaking Through the OLTP Memory Wall
danglingpointers.substack.com·2d·
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Minimal Sufficiency: A Principle ‘Similar’ to End-to-End
cacm.acm.org·1d·
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·16h·
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Machine Scheduler in LLVM – Part II
myhsu.xyz·9h·
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A portable picokernel for async I/O
ryansepassi.com·1d·
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Strix Halo's Memory Subsystem: Tackling iGPU Challenges
chipsandcheese.com·1d·
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Chips Need to Chill Out
spectrum.ieee.org·1d·
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‘A lot of this is speculative’: faith and fear mix amid $3tn global datacentre boom
theguardian.com·3h·
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Opportunistically Parallel Lambda Calculus
dl.acm.org·2d·
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Challenging the Fastest OSS Workflow Engine
obeli.sk·2d·
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Breaking Monoliths Taught Me How to Fix Data
blog.matterbeam.com·1d·
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Ask HN: Do professional photographers need hardware-level image authentication?
news.ycombinator.com·1d·
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Extropic claims its new AI chip (TSU) is 10,000x more energy-efficient than GPUs
extropic.ai·3d·
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