A hitchhiker's guide to CUDA programming
🎯GPU Kernels
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GPU Pro – Master Your AI Workflow
🔍Nsight
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Moving past speculation: How deterministic CPUs deliver predictable AI performance
venturebeat.com·18h
🧠CPU Architecture
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
🔗NCCL
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Intel's killed-off BMG-X3/X4 GPUs: 3D stacked die, up to 40 GPU cores, 512MB Adamantine cache
tweaktown.com·2h
🔧PTX
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TIL: For long-lived LLM sessions, swapping KV Cache to RAM is ~10x faster than recalculating it. Why isn't this a standard feature?
🔲Loop Tiling
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A unified threshold-constrained optimization framework for consistent and interpretable cross-machine condition monitoring
sciencedirect.com·1d
⏱️Benchmarking
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Scalable In-Memory Associative Processing for Graph Neural Network Inference
⚡Flash Attention
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Can-t stop till you get enough
📜TorchScript
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Structurally Valid Log Generation using FSM-GFlowNets
arxiv.org·2d
🔄ONNX
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Project Banana
404wolf.com·26m
🌐Distributed Computing
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Windows Task Manager is fine, but this is the tool I actually use
xda-developers.com·7h
⚙️Systems Programming
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