Machine learning techniques are used to model and optimize the performance of parallel agent-based applications. Includes load balancing, tuning, and benchmarking.
High Performance Computing Applications for Science and Engineering (HPCA4SE)
Anna Sikora, Eduardo César
Performance models using machine learning (ML) techniques. Characterization study of parallel OpenMP regions through hardware counters. Development of tuning techniques for parallel agent-based modeling (ABM) applications. Optimization of the distribution of agents according to their computational load and communication pattern. Benchmark to evaluate agent-based development platforms.
Biomedicine, engineering, finance
Parallel computing, distributed computing, HPC+AI convergence, machine learning
Technology Readiness Level (1-9): N/A
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