Author:Seyi Ogunji

Publications
Performance Analysis of Parallel Programs with RAPIDS as a Framework of Execution Seyi Ogunji, Moises Sanchez Adame, Oscar Montiel Ross and Juan Tapia In:Proceedings of 3rd International Workshop on Mathematical Modeling and Scientific Computing
Performance Analysis of Parallel Programs with RAPIDS as a Framework of Execution Seyi Ogunji, Moises Sanchez Adame, Oscar Montiel Ross and Juan J. Tapia EasyChair Preprint 15191
Performance Analysis of Parallel Programs with RAPIDS as a Framework of Execution Seyi Ogunji, Moises Sanchez Adame, Oscar Montiel Ross and Juan J. Tapia EasyChair Preprint 15191

Keyphrases

CIFAR-100, city yellow taxi dataset, Coefficient of determination, CUDA programming, cudf, cuML, CuPy, DASK Framework, data parallel model, Data Science Infrastructure, deep learning, Description and Analysis, distributed data parallel training platform, distributed data processing, distributed training pipeline, Elastic Net, Emerging Technology, execution time, fare distribution analysis, fare predictions, GPU (Graphics Processing Unit), GPU(Graphics Processing Unit), High Performance Computing, image classification, Karp-Flatt Metric, machine learning, Machine Learning Optimization, Mathematical simulations², mean squared, MobileNet-V3-Large, nvidia multi gpus, parallel computing, parallel efficiency, parallel programming, parallelism, PyTorch Integration, RandomForest, RAPIDS-24.06, rapids integration figure, Scalability², Smart City Development, speedup analysis, Taxi fare prediction, transportation analytics, trip fare prediction, XGBoost.