A new viewpoint on code generation for directed acyclic graphs

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A new viewpoint on code generation for directed acyclic graphs

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ACM Transactions on Design Automation of Electronic Systems (TODAES) archive
Volume 3 , Issue 1 (January 1998) table of contents

Pages: 51 - 75

Year of Publication: 1998

ISSN:1084-4309

Authors

S. Liao	Synopsys, Inc.
K. Keutzer	Synopsys, Inc.
S. Tjiang	Synopsys, Inc.
S. Devadas	Massachusetts Institute of Technology

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 3, Downloads (12 Months): 44, Citation Count: 2

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ABSTRACT

We present a new viewpoint on code generation for directed acyclic graphs (DAGs). Our formulation is based on binate covering, the problem of satisfying, with minimum cost, a set of disjunctive clauses, and can take into account commutativity of operators and of the machine model. An important contribution of this work is a set of necessary and sufficient conditions for a valid schedule to be derived, based on the notion of worms and worm-partitions. This set of conditions can be compactly expressed with clauses that relate scheduling to code selection. For the case of one-register machines, we can derive clauses that lead to generation of optimal code for the DAG. Recent advances in exact binate covering algorithms allows us to use this strategy to generate optimal code for large basic blocks. The optimal code generated by our algorithm results in significant reductions in overall code size.

REFERENCES

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CITED BY 2

	David Ryan Koes , Seth Copen Goldstein, Near-optimal instruction selection on dags, Proceedings of the sixth annual IEEE/ACM international symposium on Code generation and optimization, April 05-09, 2008, Boston, MA, USA
	Praveen K. Murthy , Shuvra S. Bhattacharyya, A Buffer Merging Technique for Reducing Memory Requirements of Synchronous Dataflow Specifications, Proceedings of the 12th international symposium on System synthesis, p.78, November 01-04, 1999