Spectral partitioning: the more eigenvectors, the better
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Scheduling designs into a time-multiplexed FPGA
FPGA '98 Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field programmable gate arrays
Network flow based circuit partitioning for time-multiplexed FPGAs
Proceedings of the 1998 IEEE/ACM international conference on Computer-aided design
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
An efficient list scheduling algorithm for time placement problem
Computers and Electrical Engineering
Temporal partitioning data flow graphs for dynamically reconfigurable computing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Eigenvalue Bounds, Spectral Partitioning, and Metrical Deformations via Flows
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
Introduction to Reconfigurable Computing: Architectures, Algorithms, and Applications
Introduction to Reconfigurable Computing: Architectures, Algorithms, and Applications
IEEE Transactions on Computers
Network-flow-based multiway partitioning with area and pin constraints
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Generic ILP-based approaches for time-multiplexed FPGA partitioning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
International Journal of Automation and Computing
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In this paper, we present the famous temporal partitioning algorithms that temporally partition a data flow graph on reconfigurable systems. We have classified these algorithms into four classes: 1 whole latency optimisation algorithms; 2 whole communication cost optimisation algorithms; 3 whole area optimisation algorithms; 4 whole latency-communication cost optimisation algorithms. These algorithms can be used to solve the temporal partitioning problem at the behaviour level.