Efficient associative SIMD processing for non-tabular structured data

Department of Computer Science
Author(s)
Abstract

With recent advances in VLSI technology, it is easy to develop chips containing hundreds or thousands of processors - in effect, SIMD processing on a chip. Associative SIMD processing goes further, providing efficient parallel methods for searching tabular data. The techniques described here show that associative processing can also be extended to efficiently process non-tabular structured data (e.g., trees), as we demonstrate by supporting structure codes in our associative ASC processor.
Format
Article
Identifier(s)
10.1109/NEWCAS.2004.1359082
Publication Date
2004
Publication Title
The 2nd Annual IEEE Northeast Workshop on Circuits and Systems, 2004
Publisher
IEEE
First Page
265
Last Page
268
Keywords
Subject
Rights
http://rightsstatements.org/vocab/InC/1.0/
Community
Department of Computer Science
Alternative Title
NEWCAS 2004
Comments

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Chitalia, J., & Walker, R. (2004). Efficient associative SIMD processing for non-tabular structured data (1–). The 2nd Annual IEEE Northeast Workshop on Circuits and Systems, 2004. https://doi.org/10.1109/NEWCAS.2004.1359082
Chitalia, Jalpesh, and Robert Walker. 2004. “Efficient Associative SIMD Processing for Non-Tabular Structured Data”. The 2nd Annual IEEE Northeast Workshop on Circuits and Systems, 2004. https://doi.org/10.1109/NEWCAS.2004.1359082.
Chitalia, Jalpesh, and Robert Walker. Efficient Associative SIMD Processing for Non-Tabular Structured Data. The 2nd Annual IEEE Northeast Workshop on Circuits and Systems, 2004, 2004, https://doi.org/10.1109/NEWCAS.2004.1359082.