Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00375)
DOI: 10.1109/fpga.1999.803688
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Accelerating run-time reconfiguration on FCCMs

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Cited by 4 publications
(4 citation statements)
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“…Three broad classes of partitioning techniques are identified from literature survey -1) partitioning of a large circuit to fit into a programmable device, 2) partitioning circuit into static and dynamic part and 3) partitioning configuration bitstreams. Initial work in [11], [12] have focussed the efforts to reduce reconfiguration time for specific applications by partitioning the design into static and dynamic sections by design level inspection. A pipelined neural network implemented in [11] demonstrates the reduction in reconfiguration time by isolating static circuitry common to the different functions in the pipeline.…”
Section: Related Workmentioning
confidence: 99%
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“…Three broad classes of partitioning techniques are identified from literature survey -1) partitioning of a large circuit to fit into a programmable device, 2) partitioning circuit into static and dynamic part and 3) partitioning configuration bitstreams. Initial work in [11], [12] have focussed the efforts to reduce reconfiguration time for specific applications by partitioning the design into static and dynamic sections by design level inspection. A pipelined neural network implemented in [11] demonstrates the reduction in reconfiguration time by isolating static circuitry common to the different functions in the pipeline.…”
Section: Related Workmentioning
confidence: 99%
“…The dynamic reconfigurable circuit is the circuitry that is left after removing the static part. In a similar vein, the work in [12] utilizes architecturally similar implementations of multiply, divide and square root operations to extract a common static circuit for the three operations for reducing reconfiguration time. These techniques do not apply for arbitrary multi-level combinational circuits and no clear methodology is discussed for automation.…”
Section: Related Workmentioning
confidence: 99%
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“…They perform partial reconfiguration to reduce the reconfiguration overhead. Turner and Woods [6] have suggested a method to form reconfiguration sets by maximizing the static hardware between reconfigurations and achieve speed-up using partial reconfiguration. Schwabe et al [7] take advantage of some of the features of the Xilinx XC6200 family of FPGAs to reduce the reconfiguration time overhead by compression of the configuration bit streams.…”
Section: Related Workmentioning
confidence: 99%