Proceedings. The 5th Annual IEEE Symposium on Field-Programmable Custom Computing Machines Cat. No.97TB100186)
DOI: 10.1109/fpga.1997.624605
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Compilation tools for run-time reconfigurable designs

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Cited by 63 publications
(40 citation statements)
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“…Previously we reported a model [11] and the associated development tools [12] for reconfigurable designs. In this model, a component that can be configured to behave either as A or as B is described by a network with A and B connected between two control blocks.…”
Section: Multiplexer-based Reconfigurationmentioning
confidence: 99%
“…Previously we reported a model [11] and the associated development tools [12] for reconfigurable designs. In this model, a component that can be configured to behave either as A or as B is described by a network with A and B connected between two control blocks.…”
Section: Multiplexer-based Reconfigurationmentioning
confidence: 99%
“…If the reconfiguration sequence is known at compile time, then control blocks which model the run-time selection of components in a particular sequence can be used [6]. At present Pebble descriptions are translated into the EDIF format, for which a set of tools has been developed to produce reconfigurable designs [8]. We are exploring language support for reconfiguration by having, for instance, a RECONFIGURE-IF statement (Fig.…”
Section: Support For Reconfigurationmentioning
confidence: 99%
“…Pebble supports the development of run-time reconfigurable circuits based on the model for reconfigurable designs in [8]. In this model, a component that can be configured to behave either as A or as B is described by a network with A and B connected between two control blocks.…”
Section: Support For Reconfigurationmentioning
confidence: 99%
“…al reported in [12] and to a lesser extent in [13]. The dynamic selection scheme we present here is a little more general than Luk's RC_MUX mechanism, which requires all the alternatives to have inputs of the same type and an output of the same type (at the bit level) as shown in Figure 3.…”
Section: Dynamic Selectionmentioning
confidence: 93%