The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Register allocation & spilling via graph coloring
Open accessAbstract
In a previous paper we reported the successful use of graph coloring techniques for doing global register allocation in an experimental PL/I optimizing compiler. When the compiler cannot color the register conflict graph with a number of colors equal to the number of available machine registers, it must add code to spill and reload registers to and from storage. Previously the compiler produced spill code whose quality sometimes left much to be desired, and the ad hoe techniques used took considerable amounts of compile time. We have now discovered how to extend the graph coloring approach so that it naturally solves the spilling problem. Spill decisions are now made on the basis of the register conflict graph and cost estimates of the value of keeping the result of a computation in a register rather than in storage. This new approach produces better object code and takes much less compile time.
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Cites
Register allocation via coloring
Chaitin, G. J., Auslander, M. A., Chandra, A. K., Cocke, J., Hopkins, M. E., & Markstein, P. W. (1981) · Computer Languages · doi:10.1016/0096-0551(81)90048-5 · Cited by 737
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Cited by
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Cytron, R., Ferrante, J., Rosen, B. K., Wegman, M. N., & Zadeck, F. K. (1991) · ACM Transactions on Programming Languages and Systems · doi:10.1145/115372.115320 · Cited by 2,267
Compiler transformations for high-performance computing
Bacon, D. F., Graham, S. L., & Sharp, O. J. (1994) · ACM Computing Surveys · doi:10.1145/197405.197406 · Cited by 818
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices
Li, G., Ding, Y., & Xie, Y. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems · doi:10.1145/3297858.3304023 · Cited by 594
A Formally Verified Compiler Back-end
Leroy, X. (2009) · Journal of Automated Reasoning · doi:10.1007/s10817-009-9155-4 · Cited by 503
Quantum Approximate Optimization with Hard and Soft Constraints
Hadfield, S., Wang, Z., Rieffel, E. G., O'Gorman, B., Venturelli, D., & Biswas, R. (2017) · Proceedings of the Second International Workshop on Post Moores Era Supercomputing · doi:10.1145/3149526.3149530 · Cited by 51
Metadata
- Authors
- Chaitin, G. J.
- Venue
- ACM SIGPLAN Notices
- Published
- 1982-06
- Volume
- 17
- Issue
- 6
- Pages
- 98-101
- ISSN
- 0362-1340 (ISSN-L)
- 1558-1160
- OpenAlex
- W3148529197
- Cited by
- 767
- References
- 1
- FWCI
- 6.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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