Large-scale environmental data science with ExaGeoStatR

Computer Science

• Likelihood Function 100%
• Environmental Data 100%
• Parallel Architectures 50%
• Synthetic Datasets 50%
• Gaussian Process 50%
• Approximation (Algorithm) 50%
• maximum-likelihood 50%
• Memory System 25%
• Parallelization 25%
• Performance Evaluation 25%
• Programming Model 25%
• Linear Algebra Operation 25%
• Distributed Memory 25%
• Implementation Detail 25%
• Rank Approximation 25%
• Parallel Computation 25%
• Computational Complexity 25%
• Shared Memories 25%
• Geographical Location 25%

Keyphrases

• Gaussian Process Methods 33%
• Process Calculation 33%
• Memory Restrictions 33%
• Maximum Log-likelihood 33%
• R Environment 33%