|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Multiple Precision for Resource Minimization
Napa, California
April 17-April 19
ISBN: 0-7695-0871-5
| ASCII Text | x | ||
| George A. Constantinides, Peter Y.K. Cheung, Wayne Luk, "Multiple Precision for Resource Minimization," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 307, 2000 IEEE Symposium on Field-Programmable Custom Computing Machines, 2000. | |||
| BibTex | x | ||
| @article{ 10.1109/FPGA.2000.903430, author = {George A. Constantinides and Peter Y.K. Cheung and Wayne Luk}, title = {Multiple Precision for Resource Minimization}, journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on}, volume = {0}, year = {2000}, issn = {1082-3409}, pages = {307}, doi = {http://doi.ieeecomputersociety.org/10.1109/FPGA.2000.903430}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on TI - Multiple Precision for Resource Minimization SN - 1082-3409 SP EP A1 - George A. Constantinides, A1 - Peter Y.K. Cheung, A1 - Wayne Luk, PY - 2000 VL - 0 JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on ER - | |||
This paper presents the Synoptix high-level synthesis and precision optimization system for FPGAs. Given abstract specifications in the form of infinite precision signal flow graphs and a set of error constraints; Synoptix will create hardware descriptions of fixed-point arithmetic implementations. The width of each signal is individually optimized in order to achieve the minimal resource utilization while satisfying user-specified constraints such as signal-to-noise ratio. A heuristic for solving the optimization problem is introduced, and the results of implementations on an Altera Flex10k-based reconfigurable computing platform are reported. It is demonstrated that significant area reductions can be obtained by optimizing signal widths individually, compared to the use of a single uniform signal width.
Citation:
George A. Constantinides, Peter Y.K. Cheung, Wayne Luk, "Multiple Precision for Resource Minimization," fccm, pp.307, 2000 IEEE Symposium on Field-Programmable Custom Computing Machines, 2000
Usage of this product signifies your acceptance of the Terms of Use.
