arvutusnõudlikud

Arvutusnõudlikud refers to tasks, problems, or computations that require a significant amount of processing power and time to complete. These are operations that push the limits of typical computing resources, often necessitating specialized hardware or advanced algorithms to achieve feasible results within a reasonable timeframe. The term originates from Estonian and translates directly to "computationally demanding" or "computationally intensive."

Examples of arvutusnõudlikud tasks are widespread across various scientific and technical fields. In scientific research, complex simulations for weather forecasting, climate modeling, molecular dynamics, or astrophysical phenomena fall under this category. In engineering, tasks like finite element analysis for structural integrity testing or computational fluid dynamics for aerodynamic design are computationally intensive. The fields of artificial intelligence and machine learning also heavily rely on arvutusnõudlikud processes, particularly during the training of deep neural networks which involves vast datasets and millions of calculations. Cryptography, especially modern encryption and decryption techniques, can also be arvutusnõudlikud.

Addressing arvutusnõudlikud problems often involves strategies such as parallel computing, distributed computing, the use of graphics processing units (GPUs) which are highly parallel processors, and the development of more efficient algorithms. Supercomputers and high-performance computing (HPC) clusters are specifically designed to handle these kinds of demanding computations. The drive to solve increasingly complex arvutusnõudlikud problems continues to fuel innovation in hardware and software development.