1997 ◽  
Vol 07 (05) ◽  
pp. 373-393
Author(s):  
Nozomu Togawa ◽  
Masao Sato ◽  
Tatsuo Ohtsuki

In this paper, we extend the circuit partitioning algorithm which we had proposed for multi-EPGA systems and present a new algorithm in which the delay of each critical signal path is within a specified upper bound imposed on it. The core of the presented algorithm is recursive bipartitioning of a circuit. The bipartitioning procedure consists of three stages: (0) detection of critical paths; (1) bipartitioning of a set of primary inputs and outputs; and (2) bipartitioning of a set of logic-blocks. In (0), the algorithm computes the lower bounds of delays for paths with path delay constraints and detects the critical paths based on the difference between the lower and upper bounds dynamically in every bipartitioning procedure. The delays of the critical paths are reduced with higher priority. In (1), the algorithm attempts to assign the primary inputs and outputs on each critical path to one chip so that the critical path does not cross between chips. Finally in (2), the algorithm not only decreases the number of crossings between chips but also assigns the logic-blocks on each critical path to one chip by exploiting a network flow technique. The algorithm has been implemented and applied to MCNC PARTITIONING 93 benchmark circuits. The experimental results demonstrate that it resolves almost all path delay constraints while maintaining the maximum number of required I/O blocks per chip small compared with conventional algorithms.


Integration ◽  
2003 ◽  
Vol 36 (1-2) ◽  
pp. 55-68 ◽  
Author(s):  
Xianyang Jiang ◽  
Xubang Shen ◽  
Tianxu Zhang ◽  
Huayu Liu

VLSI Design ◽  
1996 ◽  
Vol 4 (4) ◽  
pp. 309-328
Author(s):  
Kalapi Roy ◽  
Carl Sechen

Field-programmable systems with multiple FPGAs on a PCB or an MCM are being used by system designers when a single FPGA is not sufficient. We address the problem of partitioning a large technology mapped FPGA circuit onto multiple FPGA devices of a specific target technology. The physical characteristics of the multiple FPGA system (MFS) pose additional constraints to the circuit partitioning algorithms: the capacity of each FPGA, the timing constraints, the number of I/Os per FPGA, and the pre-designed interconnection patterns of each FPGA and the package. Existing partitioning techniques which minimize just the cut sizes of partitions fail to satisfy the above challenges. We therefore present a timing driven N-way partitioning algorithm based on simulated annealing for technology-mapped FPGA circuits. The signal path delays are estimated during partitioning using a timing model specific to a multiple FPGA architecture. The model combines all possible delay factors in a system with multiple FPGA chips of a target technology. Furthermore, we have incorporated a new dynamic net-weighting scheme to minimize the number of pin-outs for each chip. Finally, we have developed a graph-based global router for pin assignment which can handle the pre-routed connections of our MFS structure. In order to reduce the time spent in the simulated annealing phase of the partitioner, clusters of circuit components are identified by a new linear-time bottom-up clustering algorithm. The annealing-based N-way partitioner executes four times faster using the clusters as opposed to a flat netlist with improved partitioning results. For several industrial circuits, our approach outperforms the recursive min-cut bi-partitioning algorithm by 35% in terms of nets cut. Our approach also outperforms an industrial FPGA partitioner by 73% on average in terms of unroutable nets. Using the performance optimization capabilities in our approach we have successfully partitioned the MCNC benchmarks satisfying the critical path constraints and achieving a significant reduction in the longest path delay. An average reduction of 17% in the longest path delay was achieved at the cost of 5% in total wire length.


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