Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
The storage requirements of the array-dominated and looporganized algorithmic specifications running on embedded systems can be significant. Employing a data memory space much l...
We present an algorithmic analog-to-digital converter (ADC) architecture for large-scale parallel quantization of internally analog variables in externally digital array processor...
We present the Block Storage Multi-Protocol Converter (BSMC) software architecture, which is able to translate and manage SCSI commands carried by different SCSI transport protoco...
Highly available storage uses replication and other redundant storage to recover from a component failure. If parity data calculated from an erasure correcting code is not updated...