distributed algorithms
[/dɪˈstrɪbjətɪd ˈælɡərɪðəmz/]
nounpl: distributed algorithms
algoritmos distribuídos
1. A set of computational procedures designed to be executed across multiple independent computers or processors that communicate with each other to solve a problem collectively without central control.
Distributed algorithms are essential for cloud computing systems that need to process data across multiple servers.
Algoritmos distribuídos são essenciais para sistemas de computação em nuvem que precisam processar dados em múltiplos servidores.
2. Algorithms that enable systems to coordinate actions and reach consensus despite potential network delays, failures, or asynchronous communication.
The blockchain uses distributed algorithms to ensure all nodes agree on the same ledger state.
A blockchain usa algoritmos distribuídos para garantir que todos os nós concordem com o mesmo estado do livro-razão.
3. Computational methods where problem-solving tasks are divided among multiple processing units that work in parallel and exchange information.
Modern machine learning training often relies on distributed algorithms to handle massive datasets efficiently.
O treinamento moderno de aprendizado de máquina frequentemente depende de algoritmos distribuídos para lidar eficientemente com conjuntos de dados massivos.
Distributed algorithms are a cornerstone of modern technology infrastructure in both Brazil and the USA, particularly in the tech industry hubs. The term is primarily used in academic, professional, and technical contexts. In Brazil, this field has grown significantly with the expansion of cloud computing services and fintech companies. The study and implementation of distributed algorithms is crucial for professionals in software engineering, cloud architecture, and data science in contemporary tech ecosystems.
Related Idioms & Phrases
divide and conquer - a fundamental principle in distributed algorithms
distributed consensus - achieving agreement across multiple nodes
Byzantine agreement - solving coordination problems in unreliable systems
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