Computepowercoin

An in-depth analysis of the convergence of Big Data and Cloud Computing, exploring challenges, opportunities, and design principles for scalable data processing.

Comprehensive technical documentation and resources about computepowercoin technology and applications.

Analysis of a deterministic spectral method for the Boltzmann equation, focusing on high-performance computing implementation, second-order accuracy, and applications to non-equilibrium flows.

A novel robust Model Predictive Control framework combining steady-state awareness with tube-based design for systems with limited computational resources and external disturbances.

Analysis of using ML surrogate models to accelerate simulations of HEP computing workflows, overcoming the accuracy-scalability trade-off in tools like DCSim.

An analysis of traditional VQA models (BidGRU, GRU, BidLSTM, CNN) under computational constraints, focusing on efficiency, accuracy for numerical/counting questions, and optimal configurations.