Affiliation:
1. Northeastern University, USA / Cisco Systems, USA
2. Cisco Systems, USA
3. Northeastern University, USA
Abstract
Contemporary compiler systems such as GCC, .NET, and LLVM incorporate profile-guided optimizations (PGOs) on low-level intermediate code and basic blocks, with impressive results over purely static heuristics. Recent work shows that profile information is also useful for performing source-to-source optimizations via meta-programming. For example, using profiling information to inform decisions about data structures and algorithms can potentially lead to asymptotic improvements in performance. We present a design for profile-guided meta-programming in a general-purpose meta-programming system. Our design is parametric over the particular profiler and meta-programming system. We implement this design in two different meta-programming systems---the syntactic extensions systems of Chez Scheme and Racket---and provide several profile-guided meta-programs as usability case studies.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,Software
Cited by
1 articles.
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1. TIP: Time-Proportional Instruction Profiling;MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture;2021-10-17