24 saat Düşük/Yüksek
Tüm Zamanların En Yüksek
US$0.04857091
Tüm Zamanların Düşük
US$0.00057155
En Yüksek Fiyat 7D
US$0.00151007
En Düşük Fiyat 7D
US$0.00113223
Piyasa Değeri Sıralaması
6223
Tam Seyreltilmiş Değer
US$1287779
Toplam Arz
965,150,000
Maksimum Arz
970000000
Piyasa Değeri Avantajları
0%
Tiraj/Toplam Piyasa Değeri
0.855
What is Omega Network?
The Omega network is a type of interconnection network commonly used in parallel computing systems. It is designed to provide efficient communication among multiple processors or computing nodes in a distributed system.
The Omega network is based on a concept called the “butterfly network”, which is a type of multistage interconnection network. The butterfly network allows for efficient data exchange between pairs of nodes in a parallel system. The Omega network extends the butterfly network by adding extra connections to improve scalability and fault tolerance.
The Omega network consists of multiple stages, with each stage containing a set of nodes connected in a specific pattern. The connections between nodes in different stages form a grid-like structure. The number of stages in an Omega network is typically logarithmic in the number of nodes, which allows for efficient routing of data.
In an Omega network, each node is assigned a unique address, and data is routed through the network based on the addresses of the source and destination nodes. The routing algorithm determines the path that data should take through the network to reach its destination efficiently.
One of the key advantages of the Omega network is its ability to support parallel communication. Data can be simultaneously transferred between multiple pairs of nodes in the network, enabling efficient parallel processing and communication among different components of a parallel system.
The Omega network has been widely used in various parallel computing systems, such as high-performance computing clusters and multiprocessor systems. It provides a scalable and fault-tolerant interconnection scheme that helps improve the overall performance and efficiency of parallel computations.
Resources
1 omn ≈ 1.00 usd
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