Vectorizing for Fun and Performance
ibm.com·3d·
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⚡SIMD
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·16h·
Discuss: Substack
⚡SIMD
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A hitchhiker's guide to CUDA programming
seanzhang.me·2d·
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📊Performance Profiling
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Cycle-accurate 6502 emulator as coroutine in Rust
github.com·1d·
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🔄Async Rust
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Machine Scheduler in LLVM – Part II
myhsu.xyz·9h·
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📊Performance Profiling
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The Evolution of GPUs: How Floating-Point Changed Computing
dell.com·1h·
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⚡SIMD
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Generation at the Speed of Thought: Speculative Decoding
bittere.substack.com·4h·
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💻Programming languages
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build system tradeoffs
jyn.dev·15h·
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📏Linear Types
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·9h·
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📈Time Series ML
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
youtube.com·1d·
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⚡SIMD
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Performance evaluation of image convolution with gradient filters in OpenCL
milania.de·4d·
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📊Performance Profiling
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Our newest model: Chandra (OCR)
datalab.to·6h·
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💻Programming languages
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LTX2 Video – Open-Access AI Video Generator with Synchronized Audio
ltx2.video·8h·
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⚡SIMD
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How fast can an LLM go?
fergusfinn.com·3d·
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⚡SIMD
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Jackknife Transmittance and MIS Weight Estimation
momentsingraphics.de·18h·
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📏Linear Types
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Opportunistically Parallel Lambda Calculus
dl.acm.org·2d·
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💻Programming languages
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Yes, you should understand backprop (2016)
karpathy.medium.com·10h·
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📈Time Series ML
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Text rendering and effects using GPU-computed distances
blog.pkh.me·22h·
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🏹Apache Arrow
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Mathematics solves problems by pen and paper. CS helps us to go far beyond that
cacm.acm.org·4m·
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📐Formal Methods
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Becoming the Internet: Weighing the Options
blog.bsprague.com·13h·
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📮Message Queues
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