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.
A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.
llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
Disable GPU Thermal and Change GPU Governor to performance. (Only for snapdragon devices).
📊 Mobile VR Performance Optimization Project
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