An efficient real-time implementation of digital filtering algorithms using a multiprocessor system in a ring network is investigated. This method is based on a parallel block processing approach, where a continuously supplied input data is divided into blocks, and the blocks are processed concurrently by being assigned to each processor in the system. This approach requires only a simple interconnection network and reduces significantly the number of communications among the processors, making the system easily expandable and highly efficient. In addition, various digital signal processing algorithms can be implemented on the same multiprocessor system. The data dependency of the blocks to be processed concurrently brings on dependency problems between the processors. A systematic scheduling method has been developed by using a precedence graph for the analysis of the dependency relation. Methods for solving the dependency problems between the processors are also investigated. Implementation procedures and results for FIR, recursive, and adaptive filtering algorithms are illustrated. >

Multiprocessor implementation of digital filtering algorithms using a parallel block processing method

A high-speed communications network (10) provides singlecast, multicast, or broadcast image data capability and is implemented utilizing the High-Performance Parallel Interface (HPPI) as a physical channel. A server (12) includes both a HPPI receiver and transmitter. Workstations (18) support a HPPI-compatible receiver (14b), but require only a simplified HPPI output port (20). The workstations are connected such that the receiver port of each is driven by data and control signals from an upstream server HPPI transmitter port. Handshaking signals, generated by the receiver ports, ripple upstream to the server or to an upstream workstation output port. A packet of data bursts corresponds to either a complete image frame, or to a rectangular subsection thereof, referred to as a window. A first burst is defined to be a Header burst and contains an Image Header that specifies addresses of addressed workstations. Following the Header burst are image data bursts containing pixel data organized in raster format.

Communication apparatus and method for transferring image data from a source to one or more receivers

An efficient real-time implementation of digital filtering algorithms using a multiprocessor system in a ring network is investigated. This method is based on a parallel block processing approach, where a continuous supply of input data is divided into blocks and a block is assigned to each processor in rotation. The system is easily expandable and shows a high efficiency even in a large-scale multiprocessing environment. Methods for solving the dependency problems between the processors are also investigated to increase the number of processors which can be used efficiently. Implementation procedures and results for finite impulse response (FIR), recursive, and adaptive filtering algorithms are illustrated. This method has been successfully tested on the SABRINA (Santa Barbara ring network architecture) multiprocessor system developed at the University of California, Santa Barbara, and some experimental results are included. >

http://ieeexplore.ieee.org/iel5/143/3356/00112399.pdf

An efficient implementation of digital filtering algorithms using a multiprocessor system

The SPRINT system is a high-speed system designed to perform real-time signal processing which cannot be done on a single signal processing-chip. The advantages of using a ring network are given, and the major attributes of the system are highlighted. Attention is given to the system architecture and the basic system operation. The details of the hardware are included in the description of the system architecture. The software development environment shows how both the system software and application software is written. Finally, several digital filter examples demonstrate the usefulness of using such a ring network of signal-processing nodes. >

https://ieeexplore.ieee.org/iel2/706/573/00015049.pdf

SPRINT: a signal processing ring network for high speed applications

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SPRINT: a signal processing ring network for high speed applications