Cluster-based hardware-software co-synthesis of heterogeneous di

Details Cluster-based hardware-software co-synthesis of heterogeneous di Cluster-based hardware-software co-synthesis of heterogeneous di

1998-02-17

2000-08-01

Teska, Kevin J.

Electrical computers and digital processing systems: multicomput

Computer-to-computer data routing

Least weight routing

395674, 395675, 39550002, 395706, 709104, 709105, 712 28, G06F 944

Patent

active

060978864

ABSTRACT:
Hardware-software co-synthesis is the process of partitioning an embedded system specification into hardware and software modules to meet performance, power, and cost goals. Embedded systems are generally specified in terms of a set of acyclic task graphs. According to one embodiment of the present invention, a co-synthesis algorithm, called COSYN, starts with periodic task graphs with real-time constraints and produces a low-cost heterogeneous distributed embedded system architecture meeting these constraints. The algorithm has the following features: 1) it allows the use of multiple types of processing elements (PEs) and inter-PE communication links, where the links can take various forms (point-to-point, bus, local area network, etc.), 2) it supports both concurrent and sequential modes of communication and computation, 3) it employs a combination of preemptive and non-preemptive scheduling, 4) it introduces the concept of an association array to tackle the problem of multi-rate systems (which are commonly found in multimedia applications), 5) it uses a static scheduler based on deadline-based priority levels for accurate performance estimation of a co-synthesis solution, 6) it uses a new task clustering technique which takes the changing nature of the critical path in the task graph into account, 7) it supports pipelining of task graphs to derive a cost-efficient architecture, 8) it supports a mix of various technologies, such as 5 V CMOS, 3.3 V CMOS, 2.7 V CMOS, ECL, etc., to meet embedded system constraints and minimize power dissipation, and 9) if desired, it also optimizes the architecture for power consumption.

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