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  1. Home
  2. Browse by Author

Browsing by Author "Eckhardt, Jason"

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    Global register allocation using program structure
    (2005) Eckhardt, Jason; Cooper, Keith D.
    The Chaitin-Briggs approach to register allocation by graph coloring is the dominant method used in industrial and research compilers. It usually produces highly-efficient allocations, but sometimes exhibits pathological spilling behavior so that some programs execute significantly more spill operations than is necessary. This thesis examines and improves two previously proposed approaches of attacking this problem. Passive splitting attempts a lazy form of live range splitting which can substantially reduce dynamic spill count compared to Chaitin-Briggs. We incorporate program structure into the passive splitting framework to better guide splitting decisions and to place splits at infrequently executed regions of code. Also investigated is the Hierarchical Graph Coloring approach, which uses program structure during allocation. We provide an empirical evaluation of this poorly-understood algorithm, and propose some improvements.
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    Implicitly Heterogeneous Multi-stage Programming
    (2005-04-16) Eckhardt, Jason; Kaiabachev, Roumen; Pašalić, Emir; Swadi, Kedar; Taha, Walid
    Previous work on semantics-based multi-stage programming (MSP) language design focused on homogeneous languages designs, where the generating and the generated languages are the same. Homogeneous designs simply add a hygienic quasi-quotation and evaluation mechanism to a base language. An apparent disadvantage of this approach is that the programmer is bound to both expressivity and performance characteristics of the base language. This paper proposes a practical means to show that this can be avoided by providing specialized translations from subsets of the base language to different target languages. This approach preserves the homogeneous "look" of multi-stage programs, and, more importantly, the static guarantees about the generated code. In addition, compared to an explicitly heterogeneous approach, it promotes reuse and systematic exploration of the performance characteristics of the target languages. To illustrate the proposed approach, we design and implement a translation to a subset of C suitable for numerical computation, and show that it preserves static typing. The translation is implemented, and evaluated with several benchmarks. The implementation is available in the online distribution of MetaOCaml.
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