2003Unpublished venueRequires access

Implementation of the super-systolic array for convolution

Jaejin Lee, Gi-Yong Song

Open publisher page 15 citations

Abstract

High-performance computation on a large array of cells has been an important feature of systolic array. To achieve even higher degree of concurrency, it is desirable to make cells of systolic array themselves systolic array as well. The architecture of systolic array with its cells consisting of another systolic array is to be called super-systolic array.In this paper we propose a scalable super-systolic array architecture which shows high-performance and can be adopted in the VLSI design including regular interconnection and functional primitives that are typical for a systolic architecture.

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High-performance computation on a large array of cells has been an important feature of systolic array. To achieve even higher degree of concurrency, it is desirable to make cells of systolic array themselves systolic array as well. The architecture of systolic array with its cells consisting of another systolic array is to be called super-systolic array.In this paper we propose a scalable super-systolic array architecture which shows high-performance and can be adopted in the VLSI design including regular interconnection and functional primitives that are typical for a systolic architecture.

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Available abstract

High-performance computation on a large array of cells has been an important feature of systolic array. To achieve even higher degree of concurrency, it is desirable to make cells of systolic array themselves systolic array as well. The architecture of systolic array with its cells consisting of another systolic array is to be called super-systolic array.In this paper we propose a scalable super-systolic array architecture which shows high-performance and can be adopted in the VLSI design including regular interconnection and functional primitives that are typical for a systolic architecture.

Key concepts: Systolic array, Very-large-scale integration, Computer science, Convolution (computer science), Parallel computing, Scalability, Architecture, Isolated systolic hypertension

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