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An experimental approach is chosen to investigate the performance of a fine-grained dataflow architecture for numerically intensive digital signal processing (DSP) applications. The focus is on the behavior of pipelined data-parallel algorithms. However, the granularity of the high-level language programming blocks is not explicitly optimized to balance computation and communication; a natural and logical fine-grained decomposition of problems is used instead. The authors interpret their empirical data by means of parameters such as a number of instructions per generic unit of computation, a density of precedence relations, and a serial fraction. The performance and limitations of fine-grained general-purpose dataflow computing are discussed
Published in:
Software Engineering, IEEE Transactions on
(Volume:17
,
Issue:
10
)
Date of Publication: Oct 1991
- Page(s):
- 1028 - 1041
- ISSN :
- 0098-5589
- INSPEC Accession Number:
- 4093209
- Digital Object Identifier :
- 10.1109/32.99191
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 1991
- Sponsored by :
- IEEE Computer Society
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