Super systolic array: Difference between revisions
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The '''super systolic array''' is a generalization of the [[systolic array]]. Because the classical synthesis methods (algebraic, i. e. projection-based synthesis), yielding only uniform [[DPU]] arrays permitting only linear pipes, systolic arrays could be used only to implement applications with regular data dependencies. By using [[simulated annealing]] instead, [[Rainer Kress]] came up with the [[super systolic array]], a generalization of the systolic array not being restricted to regular data dependencies. |
The '''super systolic array''' is a generalization of the [[systolic array]]. Because the classical synthesis methods (algebraic, i. e. projection-based synthesis), yielding only uniform [[Data Path Unit|DPU]] arrays permitting only linear pipes, systolic arrays could be used only to implement applications with regular data dependencies. By using [[simulated annealing]] instead, [[Rainer Kress]] came up with the [[super systolic array]], a generalization of the systolic array not being restricted to regular data dependencies. |
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''See also'': [[KressArray]] and [[systolic array]]. |
''See also'': [[KressArray]] and [[systolic array]]. |
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Revision as of 13:32, 22 April 2006
The super systolic array is a generalization of the systolic array. Because the classical synthesis methods (algebraic, i. e. projection-based synthesis), yielding only uniform DPU arrays permitting only linear pipes, systolic arrays could be used only to implement applications with regular data dependencies. By using simulated annealing instead, Rainer Kress came up with the super systolic array, a generalization of the systolic array not being restricted to regular data dependencies.
See also: KressArray and systolic array.