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Hardware-Aware Reformulation of Convolutions for Efficient Execution on Specialized AI Hardware: A Case Study on NVIDIA Tensor Cores
arxiv.org·1d
📦Batch Embeddings
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Co-optimization Approaches For Reliable and Efficient AI Acceleration (Peking University et al.)
semiengineering.com·16h
🔍FAISS
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Why AI Needs GPUs and TPUs: The Hardware Behind LLMs
blog.bytebytego.com·2d
📊Model Serving Economics
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Pushing the Packed SIMD Extension Over the Line: An Update on the Progress of Key RISC-V Extension
semiwiki.com·1d
⚡SIMD
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CUDA Programming: From Zero to GPU Kernels
pythongiant.github.io·22h·
Discuss: Hacker News
⚙️Mechanical Sympathy
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meta-pytorch/segment-anything-fast: A batched offline inference oriented version of segment-anything
github.com·1h
📦Batch Embeddings
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It’s Time for Nvidia to Prove It Can Do More Than Graphics Cards for PCs
gizmodo.com·15h
🖥GPUs
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FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels
arxiv.org·1d
🧮Compute Optimization
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Polimi chip speeds up computing and drastically reduces energy consumption
polimi.it·2h·
Discuss: Hacker News
🖥️Hardware Architecture
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AI Systems Performance Engineering
github.com·8h·
Discuss: Hacker News
📅Resource Scheduling
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ANN v3: 200ms p99 query latency over 100 billion vectors
turbopuffer.com·1d·
Discuss: Hacker News
🔮Prefetching
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AheadComputing lands $30M to build RISC-V processors for AI data centers
siliconangle.com·19h
🖥GPUs
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SHADOW: Simultaneous Multi-Threading Architecture with Asymmetric Threads
danglingpointers.substack.com·1d·
Discuss: Substack
⚡Glommio
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Streamlining CUB with a Single-Call API
developer.nvidia.com·12h
🏟️Arena Allocators
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Everyone deserves a better computer | Ahead Computing
aheadcomputing.com·18h·
Discuss: Hacker News
🖥️Hardware Architecture
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The CPU Performance Of The NVIDIA GB10 With The Dell Pro Max vs. AMD Ryzen AI Max+ "Strix Halo"
phoronix.com·18h
🖥GPUs
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AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data
phys.org·12h
🚀Astral
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The Story on ISPC (Intel SPMD Program Compiler)
pharr.org·1d·
Discuss: Hacker News
🔄SIMD Programming
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DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
machinelearning.apple.com·1d
🕯️Candle ML
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What von Neumann understood about the architecture of intelligence before we built AI
avikde.me·14h
🖥️Hardware Architecture
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