Conference program at a Glance

• Wind prediction using Deep Learning and High Performance Computing.

• Large-Scale Distributed Deep Learning: A Study of Mechanisms and Trade-Offs with PyTorch.

• Distributed Artificial Intelligent Model Training and Evaluation.

• An analysis of Neural Architecture Search and Hyper Parameter Optimization methods.

• DICE: generic data abstraction for enhancing the convergence of HPC and Big Data.

• Improving Performance of Long Short-Term Memory Networks for Sentiment Analysis Using Multicore and GPU Architectures.

• OCFTL: an MPI implementation-independent fault tolerance library for task-based applications.

• A comparative study of Consensus Algorithms for Distributed Systems.

• Accelerating Smart City Simulations.

• Understanding COVID-19 Epidemic in Costa Rica through Network-based Modeling.