A hitchhiker's guide to CUDA programming
🎯GPU Kernels
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GPU Pro – Master Your AI Workflow
🔍Nsight
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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·16h
📈GPU Occupancy
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Moving past speculation: How deterministic CPUs deliver predictable AI performance
venturebeat.com·1d
🧠CPU Architecture
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·7h
🧮cuDNN
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Writing a DOS Clone in 2019
⚙️Systems Programming
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Armada Launches Bridge to Power the Next Generation of AI Infrastructure
prnewswire.com·2h
🔗NCCL
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Challenging the Fastest OSS Workflow Engine
🌊CUDA Streams
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Nvidia GeForce RTX 5070 Ti vs AMD Radeon 9070 XT with DLSS and FSR Enabled
techspot.com·2h
🔍Nsight
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A portable picokernel for async I/O
📊Profiling Tools
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Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs
arxiv.org·8h
🔗NCCL
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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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I turned a dead GPU into a hardware encoder, and it's perfect for my NAS
xda-developers.com·13h
🔍Nsight
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