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Context: Just-in-Time (JIT) compilers are able to specialize the code they generate according to a continuous profiling of the running programs. This gives them an advantage when compared to Ahead-of-Time (AoT) compilers that must choose…

Programming Languages · Computer Science 2025-03-03 Aurore Poirier , Erven Rohou , Manuel Serrano

To refactor already working code while keeping reliability, compatibility and perhaps security, we can borrow ideas from micropass/nanopass compilers. By treating the procedure of software refactoring as composing code transformations, and…

Software Engineering · Computer Science 2023-08-15 Yu Liu

Code completion, which aims to predict the following code token(s) according to the code context, can improve the productivity of software development. Recent work has proved that statistical language modeling with transformers can greatly…

Software Engineering · Computer Science 2022-03-16 Shuai Lu , Nan Duan , Hojae Han , Daya Guo , Seung-won Hwang , Alexey Svyatkovskiy

Heterogeneous deep learning systems (DLS) such as GPUs and ASICs have been widely deployed in industrial data centers, which requires to develop multiple low-level tensor programs for different platforms. An attractive solution to relieve…

Computation and Language · Computer Science 2025-05-06 Shouyang Dong , Yuanbo Wen , Jun Bi , Di Huang , Jiaming Guo , Jianxing Xu , Ruibai Xu , Xinkai Song , Yifan Hao , Xuehai Zhou , Tianshi Chen , Qi Guo , Yunji Chen

Microarchitectural attacks exploit the abstraction gap between the Instruction Set Architecture (ISA) and how instructions are actually executed by processors to compromise the confidentiality and integrity of a system. To secure systems…

Cryptography and Security · Computer Science 2020-12-29 Marco Guarnieri , Marco Patrignani

We propose the Adversarial DEep Learning Transpiler (ADELT), a novel approach to source-to-source transpilation between deep learning frameworks. ADELT uniquely decouples code skeleton transpilation and API keyword mapping. For code…

Computation and Language · Computer Science 2024-05-09 Linyuan Gong , Jiayi Wang , Alvin Cheung

Traditional Digital Signal Processing ( DSP ) compilers work at low level ( C-level / assembly level ) and hence lose much of the optimization opportunities present at high-level ( domain-level ). The emerging multi-level compiler…

Signal Processing · Electrical Eng. & Systems 2025-06-23 Abhinav Kumar , Atharva Khedkar , Aviral Shrivastava

Verification of numerical accuracy properties in modern software remains an important and challenging task. This paper describes an original framework combining different solutions for numerical accuracy. First, we extend an existing…

Software Engineering · Computer Science 2019-11-26 Maxime Jacquemin , Fonenantsoa Maurica , Nikolai Kosmatov , Julien Signoles , Franck Védrine

A compiler's optimizer operates over abstract syntax trees (ASTs), continuously applying rewrite rules to replace subtrees of the AST with more efficient ones. Especially on large source repositories, even simply finding opportunities for a…

Programming Languages · Computer Science 2021-04-09 Darshana Balakrishnan , Carl Nuessle , Oliver Kennedy , Lukasz Ziarek

In this paper, we present a framework to generate compilers for embedded domain-specific languages (EDSLs). This framework provides facilities to automatically generate the boilerplate code required for building DSL compilers on top of…

Programming Languages · Computer Science 2018-08-07 Amir Shaikhha , Vojin Jovanovic , Christoph Koch

Automatically fixing compilation errors can greatly raise the productivity of software development, by guiding the novice or AI programmers to write and debug code. Recently, learning-based program repair has gained extensive attention and…

Software Engineering · Computer Science 2022-10-11 Xueyang Li , Shangqing Liu , Ruitao Feng , Guozhu Meng , Xiaofei Xie , Kai Chen , Yang Liu

The rapid evolution of software libraries presents a significant challenge for code generation models, which must adapt to frequent version updates while maintaining compatibility with previous versions. Existing code completion benchmarks…

Software Engineering · Computer Science 2024-11-12 Nizar Islah , Justine Gehring , Diganta Misra , Eilif Muller , Irina Rish , Terry Yue Zhuo , Massimo Caccia

Just-in-time compilation provides significant performance improvements for programs written in dynamic languages. These benefits come from the ability of the compiler to speculate about likely cases and generate optimized code for these.…

Programming Languages · Computer Science 2022-04-06 Olivier Flückiger , Jan Ječmen , Sebastián Krynski , Jan Vitek

Existing support for regular expressions in automated test generation or verification tools is lacking. Common aspects of regular expression engines found in mainstream programming languages, such as backreferences or greedy matching, are…

Programming Languages · Computer Science 2020-03-16 Blake Loring , Duncan Mitchell , Johannes Kinder

Nearly all web-based interfaces are written in JavaScript. Given its prevalence, the support for high performance JavaScript code is crucial. The ECMA Technical Committee 39 (TC39) has recently extended the ECMAScript language (i.e.,…

Logic in Computer Science · Computer Science 2018-04-18 Cristian Mattarei , Clark Barrett , Shu-yu Guo , Bradley Nelson , Ben Smith , JF Bastien

We present a type system and inference algorithm for a rich subset of JavaScript equipped with objects, structural subtyping, prototype inheritance, and first-class methods. The type system supports abstract and recursive objects, and is…

Programming Languages · Computer Science 2016-10-19 Satish Chandra , Colin S. Gordon , Jean-Baptiste Jeannin , Cole Schlesinger , Manu Sridharan , Frank Tip , Youngil Choi

In recent years, heterogeneous computing has emerged as the vital way to increase computers? performance and energy efficiency by combining diverse hardware devices, such as Graphics Processing Units (GPUs) and Field Programmable Gate…

Programming Languages · Computer Science 2020-11-02 Michail Papadimitriou , Juan Fumero , Athanasios Stratikopoulos , Foivos S. Zakkak , Christos Kotselidis

Gradual typing combines static and dynamic typing in the same language, offering the benefits of both to programmers. Static typing provides error detection and strong guarantees while dynamic typing enables rapid prototyping and flexible…

Programming Languages · Computer Science 2016-10-27 Michael M. Vitousek , Jeremy G. Siek

Code translation is a crucial process in software development and migration projects, enabling interoperability between different programming languages and enhancing software adaptability and thus longevity. Traditional automated…

Artificial Intelligence · Computer Science 2025-07-23 Shreya Saxena , Siva Prasad , Zishan Ahmad , Vishal Vaddina

Early stages of system development involve outlining desired features such as functionality, availability, or usability. Specifications are derived from these features that concretize vague ideas presented in natural languages. The…

Software Engineering · Computer Science 2014-10-09 Rongjie Yan , Chih-Hong Cheng , Guangquan Zhang , Yesheng Chai
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