Systolic array: Difference between revisions

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{{cleanup|December 2006}}

The name derives from analogy with the regular pumping of blood by the heart. In [[computer architecture]], a '''systolic array''' is an arrangement of [[data processing unit]]s ([[DPU]]s, similar to [[central processing unit]]s ([[CPU]])s, but without a [[Program counter]], since operation is transport-triggered, i. e., by the arrival of a data object (like known also fromused in [[Transport Triggeredtriggered Architecturesarchitecture]]s), in an [[array]] (often rectangular) where data flows across the array between neighbours, usually with different data flowing in different directions. The [[Data stream]]s entering and leaving the ports of the array are generated by [[auto-sequencing memory]] units (ASMs). Each ASM includes a [[Data counter]]. In [[Embedded System]]s a data stream may also be inputtedinput from and/or outputtedoutput to an external source.

The systolic array paradigm, data-stream-driven by data counters, is the counterpart of the [[von Neumann paradigm]], instruction-stream-driven by a program counter (also see [[von Neumann]] or [[von Neumann architecture]]). Because thea systolic array paradigm includes multiple data counters, it supports [[data parallelism]].

[[H. T. Kung]] and [[Charles E. Leiserson]] published the first paper describing systolic arrays in [[1978]]; however, the first machine known to have used the technique was the [[Colossus computer|Colossus Mark II]] in 1944.

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An example of a systolic [[algorithm]] might be [[matrix multiplication]]. One [[matrix (math)|matrix]] is fed in a row at a time from the top of the array and is passed down the array, the other matrix is fed in a column at a time from the left hand side of the array and passes from left to right. Dummy values are then passed in until each processor has seen one whole row and one whole column. At this point, the result of the multiplication is stored in the array and can now be output a row or a column at a time, flowing down or across the 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.

==Super systolic array==

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 [[Reconfigurable computing|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 restrictedlimited to regular data dependencies.

==See also==