This paper proposes a DC-mesh network that allows requesting nodes to be put into clusters while the requests are sent to a target node, as well as is easy to layout on an LSI chip. To organize the DC-mesh, we use the partitioning in the word space based on the Hamming code [1]. We introduce an index scheme, (parity-value,information-value), in the word space, and map it onto a 4-D (dimensional) mesh so that the Hamming distance between the words in each partition is preserved in the Manhattan distance between the corresponding nodes on the mesh; two of the dimensions are contracted for easy wiring. The resultant DC-mesh consists of a number of local 2-D meshes and a single global 2-D mesh; all processing nodes linked to one local mesh are connected to one node of the global mesh via a bus to compensate for the contraction. A subset of the nodes in a partition organizes a dynamic cluster. The diameter equals the greater of the diameters of local and global meshes. © IFIP International Federation for Information Processing 2004.
CITATION STYLE
Takesue, M. (2004). DC-mesh: A contracted high-dimensional mesh for dynamic clustering. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3222, 382–389. https://doi.org/10.1007/978-3-540-30141-7_53
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