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In the Hydro project we are designing a compiler toolkit that can optimize for the concerns of distributed systems, including scale-up and scale-down, availability, and consistency of outcomes across replicas. This invited paper overviews…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-25 Joseph M. Hellerstein , Shadaj Laddad , Mae Milano , Conor Power , Mingwei Samuel

This article describes the features of a compiler for a superset language of the well-known PL/0 created by Niklaus Wirth. The main feature is that it implements the build phases in such a way that the information passed between each one is…

Programming Languages · Computer Science 2022-07-20 Navas-López , Eduardo Adam

Optimizing deep learning models is generally performed in two steps: (i) high-level graph optimizations such as kernel fusion and (ii) low level kernel optimizations such as those found in vendor libraries. This approach often leaves…

Machine Learning · Computer Science 2021-03-08 Pratik Fegade , Tianqi Chen , Phillip B. Gibbons , Todd C. Mowry

Complex software-driven systems often interleave distributed, concurrent computation processes with physical interactions with the environment. Developing these systems more efficiently and safely can be achieved by employing actionable,…

Software Engineering · Computer Science 2025-11-20 Hiep Hong Trinh , Federico Ciccozzi , Abu Naser Masud , Marjan Sirjani , Mikael Sjödin

Continual learning is essential for real-world deployment when there is a need to quickly adapt the model to new tasks without forgetting knowledge of old tasks. Existing work on continual sequence generation either always reuses existing…

Computation and Language · Computer Science 2022-04-06 Yanzhe Zhang , Xuezhi Wang , Diyi Yang

While model serving has unlocked unprecedented capabilities, the high cost of serving large-scale models continues to be a significant barrier to widespread accessibility and rapid innovation. Compiler optimizations have long driven…

Machine Learning · Computer Science 2026-02-05 Annabelle Sujun Tang , Christopher Priebe , Rohan Mahapatra , Lianhui Qin , Hadi Esmaeilzadeh

Training a Neural Network (NN) with lots of parameters or intricate architectures creates undesired phenomena that complicate the optimization process. To address this issue we propose a first modular approach to NN design, wherein the NN…

Machine Learning · Computer Science 2019-02-26 David Castillo-Bolado , Cayetano Guerra-Artal , Mario Hernandez-Tejera

Systems now exist which are able to compile unification grammars into language models that can be included in a speech recognizer, but it is so far unclear whether non-trivial linguistically principled grammars can be used for this purpose.…

Computation and Language · Computer Science 2007-05-23 Manny Rayner , Beth Ann Hockey , Frankie James , Elizabeth O. Bratt , Sharon Goldwater , Mark Gawron

Existing iterative compilation and machine-learning-based optimization techniques have been proven very successful in achieving better optimizations than the standard optimization levels of a compiler. However, they were not engineered to…

Programming Languages · Computer Science 2020-08-11 Kyriakos Georgiou , Zbigniew Chamski , Andres Amaya Garcia , David May , Kerstin Eder

This document describes a couple of tools that help to quickly design and develop computer (formalized) languages. The first one use Flex to perform lexical analysis and the second is an extention of Prolog DCGs to perfom syntactical…

Software Engineering · Computer Science 2007-05-23 Thierry Despeyroux

System programming languages are typically compiled in a linear pipeline process, which is a completely opaque and isolated to end-users. This limits the possibilities of performing meta-programming in the same language and environment, and…

Programming Languages · Computer Science 2023-09-28 Ronie Salgado

Large language models (LLMs) have demonstrated significant potential in formal theorem proving, yet state-of-the-art performance often necessitates prohibitive test-time compute via massive roll-outs or extended context windows. In this…

Machine Learning · Computer Science 2026-04-22 Guchan Li , Rui Tian , Hongning Wang

Efficient parallelization of algorithms on general-purpose GPUs is essential in many areas today. However, it is a non-trivial task for software engineers to utilize GPUs to improve the performance of high-level programs in general.…

Programming Languages · Computer Science 2024-07-09 Lars Hummelgren , John Wikman , Oscar Eriksson , Philipp Haller , David Broman

Modular programming, which aims to construct the final program by integrating smaller, independent building blocks, has been regarded as a desirable practice in software development. However, with the rise of recent code generation agents…

Computation and Language · Computer Science 2024-11-04 Deokyeong Kang , Ki Jung Seo , Taeuk Kim

In the last decade, machine learning based compilation has moved from an an obscure research niche to a mainstream activity. In this article, we describe the relationship between machine learning and compiler optimisation and introduce the…

Programming Languages · Computer Science 2018-05-10 Zheng Wang , Michael O'Boyle

The GCC free compiler is a very large software, compiling source in several languages for many targets on various systems. It can be extended by plugins, which may take advantage of its power to provide extra specific functionality…

Programming Languages · Computer Science 2011-09-06 Basile Starynkevitch

Multitier programming languages reduce the complexity of developing distributed systems by developing the distributed system in a single coherent code base. The compiler or the runtime separate the code for the components of the distributed…

Programming Languages · Computer Science 2020-02-17 Pascal Weisenburger , Guido Salvaneschi

Cminor is a mid-level imperative programming language; there are proved-correct optimizing compilers from C to Cminor and from Cminor to machine language. We have redesigned Cminor so that it is suitable for Hoare Logic reasoning and we…

Programming Languages · Computer Science 2007-07-31 Andrew W. Appel , Sandrine Blazy

When implementing secure software, developers must ensure certain requirements, such as the erasure of secret data after its use and execution in real time. Such requirements are not explicitly captured by the C language and could…

Cryptography and Security · Computer Science 2019-07-08 A. P. Shivarpatna Venkatesh , A. Bhat Handadi , M. Mory

Flow-sensitive type systems offer an elegant way to ensure memory-safety in programming languages. Unfortunately, their adoption in new or existing languages is often hindered by a painful effort to implement or integrate them into…

Programming Languages · Computer Science 2021-06-24 Dimitri Racordon , Aurélien Coet , Didier Buchs
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