1998
DOI: 10.1109/43.720318
|View full text |Cite
|
Sign up to set email alerts
|

Hardware/software partitioning for multifunction systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
19
0

Year Published

2001
2001
2021
2021

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 41 publications
(19 citation statements)
references
References 11 publications
0
19
0
Order By: Relevance
“…Kalavade and Subrahmanyam have extended the GCLP algorithm to handle cosynthesis involving multiple applications that are operated in a time-multiplexed manner [28]. Such multi-function systems arise commonly in embedded applications.…”
Section: Cosynthesis For Multi-function Applicationsmentioning
confidence: 99%
“…Kalavade and Subrahmanyam have extended the GCLP algorithm to handle cosynthesis involving multiple applications that are operated in a time-multiplexed manner [28]. Such multi-function systems arise commonly in embedded applications.…”
Section: Cosynthesis For Multi-function Applicationsmentioning
confidence: 99%
“…Some researchers used custom heuristics to solve hardware/software partitioning. This includes the GCLP algorithm [24,25] and the expert system of Lopez-Vallejo and Lopez [29,31], as well as the heuristics of Gupta and de Micheli [18] and Wolf [50]. There are also some families of well-known heuristics that are usually applied to partitioning problems.…”
Section: Previous Workmentioning
confidence: 99%
“…In a number of related papers, the target architecture is supposed to consist of a single software and a single hardware unit [13,17,18,20,31,32,34,37,40,44,45,49], whereas others do not impose this limitation [10,12,25,36]. Some limit parallelism inside hardware or software [44,49] or between hardware and software [20,32].…”
Section: Previous Workmentioning
confidence: 99%
“…This includes the GCLP algorithm (Kalavade and Lee, 1997;Kalavade and Subrahmanyam, 1998) and the expert system of (LopezVallejo and Lopez, 1998;Lopez-Vallejo and Lopez, 2003), as well as the heuristics in (Gupta and de Micheli, 1993;Wolf, 1997). Hierarchical clustering is another family of well-known heuristics that has been often applied to partitioning problems (Abdelzaher and Shin, 2000;Barros et al, 1993;Vahid, 2002;Vahid and Gajski, 1995).…”
Section: Work On Hardware/software Partitioningmentioning
confidence: 99%