code for benchmarking GPU performance based on cublasSgemm and cublasHgemm
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Updated
May 20, 2022 - Cuda
code for benchmarking GPU performance based on cublasSgemm and cublasHgemm
Hands-on Machine Learning Infrastructure on Kubernetes. Using Microk8s/Ubuntu on Paperspace Cloud.
llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.
Disable GPU Thermal and Change GPU Governor to performance. (Only for snapdragon devices).
📊 Mobile VR Performance Optimization Project
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