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Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Task-Level Partitioning and RTL Design Space Exploration for Multi-FPGA Architectures
Napa California
April 21-April 23
ISBN: 0-7695-0375-6
Vinoo Srinivasan, University of Cincinnati
Ranga Vemuri, University of Cincinnati
This paper presents spade , a system for partitioning designs onto multi- fpga architectures. The input to spade is a task graph, that is composed of computational tasks, memory tasks and the communication and synchronization between tasks. spade consists of an iterative partitioning engine, an architectural constraint evaluator, and a throughput optimization and rtl design space exploration heuristic. We show how various architectural constraints can be effectively handled using an iterative partitioning engine.
Citation:
Vinoo Srinivasan, Ranga Vemuri, "Task-Level Partitioning and RTL Design Space Exploration for Multi-FPGA Architectures," fccm, pp.272, Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines, 1999
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