The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
LegUp: high-level synthesis for FPGA-based processor/accelerator systems
Abstract
In this paper, we introduce a new open source high-level synthesis tool called LegUp that allows software techniques to be used for hardware design. LegUp accepts a standard C program as input and automatically compiles the program to a hybrid architecture containing an FPGA-based MIPS soft processor and custom hardware accelerators that communicate through a standard bus interface. Results show that the tool produces hardware solutions of comparable quality to a commercial high-level synthesis tool.
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Citations
Cites
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
Cited by
POLLY — PERFORMING POLYHEDRAL OPTIMIZATIONS ON A LOW-LEVEL INTERMEDIATE REPRESENTATION
GROSSER, T., GROESSLINGER, A., & LENGAUER, C. (2012) · Parallel Processing Letters · doi:10.1142/s0129626412500107 · Cited by 355
Metadata
- Authors
- Canis, A., Choi, J., Aldham, M., Zhang, V., Kammoona, A., Anderson, J. H., Brown, S., & Czajkowski, T.
- Venue
- Proceedings of the 19th ACM/SIGDA international symposium on Field programmable gate arrays
- Publisher
- ACM
- Published
- 2011-02-27
- Pages
- 33-36
- OpenAlex
- W2018055497
- Cited by
- 531
- References
- 1
- FWCI
- 27.70
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: LegUp: high-level synthesis for FPGA-based processor/accelerator systems. https://app.cochat.ai/papers/10.1145/1950413.1950423
- The paper
- Canis, A., Choi, J., Aldham, M., Zhang, V., Kammoona, A., Anderson, J. H., Brown, S., & Czajkowski, T. (2011). LegUp: high-level synthesis for FPGA-based processor/accelerator systems. Proceedings of the 19th ACM/SIGDA international symposium on Field programmable gate arrays. https://doi.org/10.1145/1950413.1950423
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
