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cuda-optimization

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jetson-orin-matmul-analysis

Cre4T3Tiv3 / jetson-orin-matmul-analysis

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CUDA matrix multiplication benchmarking on Jetson Orin Nano. Four implementations, three power modes, five matrix sizes. 99.5% mathematical validation. C++/CUDA and Python.

machine-learning robotics cuda cublas scientific-computing matrix-multiplication high-performance-computing gpu-computing performance-optimization autonomous-systems edge-computing nvidia-jetson edge-ai embeded-systems tensor-cores ml-deployment jetson-orin-nano gpu-benchmarking power-efficiency-benchmark cuda-optimization
  • Updated Mar 23, 2026
  • Python

ZrobMiloudaa / jetson-orin-matmul-analysis

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🔍 Analyze CUDA matrix multiplication performance and power consumption on NVIDIA Jetson Orin Nano across multiple implementations and settings.

machine-learning robotics cuda cublas matrix-multiplication high-performance-computing gpu-computing performance-optimization autonomous-systems edge-computing nvidia-jetson embeded-systems tensor-cores ml-deployment jetson-orin-nano gpu-benchmarking power-efficiency-benchmark cuda-optimization
  • Updated Mar 23, 2026
  • Python

torajharsh / aether-scale

Star 0

High-performance matrix engine for Unit-Domain Flow (UDF). Eliminates Mantissa Friction with 0.00 MSE integrity.

python ai deep-learning neural-network linear-algebra cuda pytorch artificial-intelligence matrix-multiplication neural-networks low-latency gpu-computing math-library performance-optimization pytorch-extension matrix-multiplication-parallel tensor-engine physics-informed-neural-networks ai-infrastructure cuda-optimization
  • Updated Feb 17, 2026
  • Python

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