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Related papers: Sampling Optimized Code for Type Feedback

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Profile guided optimization is an effective technique for improving the optimization ability of compilers based on dynamic behavior, but collecting profile data is expensive, cumbersome, and requires regular updating to remain fresh. We…

Programming Languages · Computer Science 2022-01-05 Nadav Rotem , Chris Cummins

Gradually-typed programming languages permit the incremental addition of static types to untyped programs. To remain sound, languages insert run-time checks at the boundaries between typed and untyped code. Unfortunately, performance…

Programming Languages · Computer Science 2020-10-13 Cameron Moy , Phúc C. Nguyen , Sam Tobin-Hochstadt , David Van Horn

Gradual typing enables programmers to combine static and dynamic typing in the same language. However, ensuring a sound interaction between the static and dynamic parts can incur significant runtime cost. In this paper, we perform a…

Programming Languages · Computer Science 2019-02-22 Michael M. Vitousek , Jeremy G. Siek , Avik Chaudhuri

Sympiler is a domain-specific code generator that optimizes sparse matrix computations by decoupling the symbolic analysis phase from the numerical manipulation stage in sparse codes. The computation patterns in sparse numerical methods are…

Programming Languages · Computer Science 2018-01-08 Kazem Cheshmi , Shoaib Kamil , Michelle Mills Strout , Maryam Mehri Dehnavi

Profile Guided Optimization (PGO) uses runtime profiling to direct compiler optimization decisions, effectively combining static analysis with actual execution behavior to enhance performance. Runtime profiles, collected through…

Performance · Computer Science 2025-07-23 Bingxin Liu , Yinghui Huang , Jianhua Gao , Jianjun Shi , Yongpeng Liu , Yipin Sun , Weixing Ji

Gradual typing has gained popularity as a design choice for integrating static and dynamic typing within a single language. Several practical languages have adopted gradual typing to offer programmers the flexibility to annotate their…

Programming Languages · Computer Science 2026-03-09 Senxi Li , Feng Dai , Tetsuro Yamazaki , Shigeru Chiba

This paper proposes an adaptive neural-compilation framework to address the problem of efficient program learning. Traditional code optimisation strategies used in compilers are based on applying pre-specified set of transformations that…

Artificial Intelligence · Computer Science 2016-05-27 Rudy Bunel , Alban Desmaison , Pushmeet Kohli , Philip H. S. Torr , M. Pawan Kumar

Code super-optimization is the task of transforming any given program to a more efficient version while preserving its input-output behaviour. In some sense, it is similar to the paraphrase problem from natural language processing where the…

Machine Learning · Computer Science 2017-06-29 Rudy Bunel , Alban Desmaison , M. Pawan Kumar , Philip H. S. Torr , Pushmeet Kohli

Gradual typing combines static and dynamic typing in the same program. One would hope that the performance in a gradually typed language would range between that of a dynamically typed language and a statically typed language. Existing…

Programming Languages · Computer Science 2018-02-20 Andre Kuhlenschmidt , Deyaaeldeen Almahallawi , Jeremy G. Siek

While high-level languages come with significant readability and maintainability benefits, their performance remains difficult to predict. For example, programmers may unknowingly use language features inappropriately, which cause their…

Programming Languages · Computer Science 2018-09-13 Leif Andersen , Vincent St-Amour , Jan Vitek , Matthias Felleisen

Transient gradual typing imposes run-time type tests that typically cause a linear slowdown in programs' performance. This performance impact discourages the use of type annotations because adding types to a program makes the program…

Programming Languages · Computer Science 2019-02-19 Richard Roberts , Stefan Marr , Michael Homer , James Noble

Strong static type systems help programmers eliminate many errors without much burden of supplying type annotations. However, this flexibility makes it highly non-trivial to diagnose ill-typed programs, especially for novice programmers.…

Programming Languages · Computer Science 2022-10-10 Chuqin Geng , Haolin Ye , Yixuan Li , Tianyu Han , Brigitte Pientka , Xujie Si

Developing an application with high performance through the code optimization places a greater responsibility on the programmers. While most of the existing compilers attempt to automatically optimize the program code, manual techniques…

Programming Languages · Computer Science 2012-03-06 Mohammed Fadle Abdulla

Instrumenting programs for performing run-time checking of properties, such as regular shapes, is a common and useful technique that helps programmers detect incorrect program behaviors. This is specially true in dynamic languages such as…

Programming Languages · Computer Science 2018-04-09 Maximiliano Klemen , Nataliia Stulova , Pedro Lopez-Garcia , José F. Morales , Manuel V. Hermenegildo

Small language models (1-3B) are practical to run locally, but individually limited on harder code generation tasks. We ask whether composing them into pipelines can recover some of that lost capability. We study code generation pipelines…

Software Engineering · Computer Science 2026-04-27 Charles Junichi McAndrews

Iterative compilation is a widely adopted technique to optimize programs for different constraints such as performance, code size and power consumption in rapidly evolving hardware and software environments. However, in case of statically…

Programming Languages · Computer Science 2014-07-16 Lianjie Luo , Yang Chen , Chengyong Wu , Shun Long , Grigori Fursin

Dynamic Programming Languages are quite popular because they increase the programmer's productivity. However, the absence of types in the source code makes the program written in these languages difficult to understand and virtual machines…

Programming Languages · Computer Science 2019-01-17 Abhinav Jangda , Gaurav Anand

Runtime monitors that are specified in a stream-based monitoring language tend to be easier to understand, maintain, and reuse than those written in a standard programming language. Because of their formal semantics, such specification…

Formal Languages and Automata Theory · Computer Science 2020-11-30 Jan Baumeister , Bernd Finkbeiner , Matthis Kruse , Maximilian Schwenger

High-performance dynamic language implementations make heavy use of speculative optimizations to achieve speeds close to statically compiled languages. These optimizations are typically performed by a just-in-time compiler that generates…

Programming Languages · Computer Science 2020-05-19 Olivier Flückiger , Gabriel Scherer , Ming-Ho Yee , Aviral Goel , Amal Ahmed , Jan Vitek

A common tool used by security professionals for reverse-engineering binaries found in the wild is the decompiler. A decompiler attempts to reverse compilation, transforming a binary to a higher-level language such as C. High-level…

Software Engineering · Computer Science 2021-08-17 Qibin Chen , Jeremy Lacomis , Edward J. Schwartz , Claire Le Goues , Graham Neubig , Bogdan Vasilescu
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