loading...
Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators
Hyderabad, India January 04-January 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVD.1997.568067Tenth International Conference on VLS ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
R. Hartenstein, J. Becker, "Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators," VLSI Design, International Conference on, pp. 146, Tenth International Conference on VLSI Design: VLSI in Multimedia Applications, 1997.
 
 
BibTex
x
 
@article{ 10.1109/ICVD.1997.568067,
author = {R. Hartenstein and J. Becker},
title = {Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators},
journal ={VLSI Design, International Conference on},
volume = {0},
year = {1997},
issn = {1063-9667},
pages = {146},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICVD.1997.568067},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - VLSI Design, International Conference on
TI - Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators
SN - 1063-9667
SP
EP
A1 - R. Hartenstein,
A1 - J. Becker,
PY - 1997
KW - parallel programming
KW - hardware/software co-design
KW - data-driven Xputer-based accelerators
KW - parallelizing programming environment
KW - CoDe-X
KW - partitioning
KW - performance optimization
KW - profiling-driven host/accelerator partitioning
KW - resource-driven sequential/structural partitioning
KW - accelerator source code
KW - reconfigurable resources
KW - C dialect
KW - data-procedural language features
VL - 0
JA - VLSI Design, International Conference on
ER -
 
R. Hartenstein, Kaiserslautern Univ., Germany
J. Becker, Kaiserslautern Univ., Germany
The paper presents the parallelizing programming environment CoDe-X introducing hardware/software co-design strategies on two levels of partitioning for data-driven Xputer-based accelerators. CoDe-X performs both, in the first level a profiling-driven host/accelerator partitioning for performance optimization, and in a second level a resource-driven sequential/structural partitioning of the accelerator source code to optimize the utilization of its reconfigurable resources. CoDe-X accepts a C dialect also including optional data-procedural language features, which can be included to achieve highest possible acceleration factors provided by the Xputer hardware.
Index Terms:
parallel programming, hardware/software co-design, data-driven Xputer-based accelerators, parallelizing programming environment, CoDe-X, partitioning, performance optimization, profiling-driven host/accelerator partitioning, resource-driven sequential/structural partitioning, accelerator source code, reconfigurable resources, C dialect, data-procedural language features
Citation:
R. Hartenstein, J. Becker, "Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators," vlsid, pp.146, Tenth International Conference on VLSI Design: VLSI in Multimedia Applications, 1997
Usage of this product signifies your acceptance of the Terms of Use.