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Intermittently powered devices enable new applications in harsh or inaccessible environments, such as space or in-body implants, but also introduce problems in programmability and correctness. Researchers have developed programming models…

Programming Languages · Computer Science 2021-06-29 Milijana Surbatovich , Limin Jia , Brandon Lucia

We propose a novel type system for verifying that programs correctly implement constant-resource behavior. Our type system extends recent work on automatic amortized resource analysis (AARA), a set of techniques that automatically derive…

Programming Languages · Computer Science 2018-01-09 Van Chan Ngo , Mario Dehesa-Azuara , Matthew Fredrikson , Jan Hoffmann

In safety-critical autonomous systems, data freshness presents a fundamental design challenge. While the Logical Execution Time (LET) paradigm ensures compositional determinism, it often does so at the cost of injected latency, degrading…

Operating Systems · Computer Science 2026-03-11 José Luis Conradi Hoffmann , Antônio Augusto Fröhlich

Dataflow languages provide natural support for specifying constraints between objects in dynamic applications, where programs need to react efficiently to changes of their environment. Researchers have long investigated how to take…

Programming Languages · Computer Science 2011-04-13 Camil Demetrescu , Irene Finocchi , Andrea Ribichini

This paper presents a new fast and robust algorithm that provides fuel-optimal impulsive control input sequences that drive a linear time-variant system to a desired state at a specified time. This algorithm is applicable to a broad class…

Optimization and Control · Mathematics 2020-10-06 Adam W. Koenig , Simone D'Amico

This work describes the principled design of a theoretical framework leading to fast and accurate algorithmic information measures on finite multisets of finite strings by means of compression. One distinctive feature of our approach is to…

Information Theory · Computer Science 2025-02-25 François Cayre

Safety guarantees are a prerequisite to the deployment of reinforcement learning (RL) agents in safety-critical tasks. Often, deployment environments exhibit non-stationary dynamics or are subject to changing performance goals, requiring…

Machine Learning · Computer Science 2026-04-13 Maksim Anisimov , Francesco Belardinelli , Matthew Wicker

Rust is an emergent systems programming language highlighting memory safety by its Ownership and Borrowing System (OBS). The existing formal semantics for Rust only covers limited subsets of the major language features of Rust. Moreover,…

Programming Languages · Computer Science 2020-07-28 Shuanglong Kan , Zhe Chen , David Sanan , Shang-Wei Lin , Yang Liu

The Rust programming language enforces three basic Rust principles, namely ownership, borrowing, and AXM (Aliasing Xor Mutability) to prevent security bugs such as memory safety violations and data races. However, Rust projects often have…

Cryptography and Security · Computer Science 2025-07-08 Jason Zhijingcheng Yu , Fangqi Han , Kaustab Choudhury , Trevor E. Carlson , Prateek Saxena

Rust is a new and promising high-level system programming language. It provides both memory safety and thread safety through its novel mechanisms such as ownership, moves and borrows. Ownership system ensures that at any point there is only…

Programming Languages · Computer Science 2018-05-01 Feng Wang , Fu Song , Min Zhang , Xiaoran Zhu , Jun Zhang

Robustness is a correctness notion for concurrent programs running under relaxed consistency models. The task is to check that the relaxed behavior coincides (up to traces) with sequential consistency (SC). Although computationally simple…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-16 Egor Derevenetc , Roland Meyer , Sebastian Schweizer

Synchronous programming is a paradigm of choice for the design of safety-critical reactive systems. Runtime enforcement is a technique to ensure that the output of a black-box system satisfies some desired properties. This paper deals with…

Formal Languages and Automata Theory · Computer Science 2016-12-16 Srinivas Pinisetty , Partha S Roop , Steven Smyth , Stavros Tripakis , Reinhard von Hanxleden

We present the concept of approximate intermittent computing and demonstrate its application. Intermittent computations stem from the erratic energy patterns caused by energy harvesting: computations unpredictably terminate whenever energy…

Hardware Architecture · Computer Science 2021-11-23 Fulvio Bambusi , Francesco Cerizzi , Yamin Lee , Luca Mottola

Neutral atoms are a promising platform for quantum science, enabling advances in areas ranging from quantum simulations and computation to metrology, atomic clocks and quantum networking. While atom losses typically limit these systems to a…

This work presents a novel algorithm for impulsive optimal control of linear time-varying systems with the inclusion of input magnitude constraints. Impulsive optimal control problems, where the optimal input solution is a sum of delta…

Optimization and Control · Mathematics 2026-03-17 Ethan Foss , Simone D'Amico

Existing automated verification techniques for safe Rust code rely on the strong type-system properties to reason about programs, especially to deduce which memory locations do not change (i.e., are framed) across function calls. However,…

Programming Languages · Computer Science 2024-05-15 Federico Poli , Xavier Denis , Peter Müller , Alexander J. Summers

Self-powered intermittent systems typically adopt runtime checkpointing as a means to accumulate computation progress across power cycles and recover system status from power failures. However, existing approaches based on the checkpointing…

Operating Systems · Computer Science 2019-10-14 Wei-Ming Chen , Tei-Wei-Kuo , Pi-Cheng Hsiu

In the shared variable model of concurrency, guarded atomic actions restrict the possible interference between processes by regions of atomic execution. The guard specifies the condition for entering an atomic region. That is a convenient…

Programming Languages · Computer Science 2025-05-28 Shucai Yao , Emil Sekerinski

This paper introduces intermittent learning - the goal of which is to enable energy harvested computing platforms capable of executing certain classes of machine learning tasks effectively and efficiently. We identify unique challenges to…

Machine Learning · Computer Science 2019-12-17 Seulki Lee , Bashima Islam , Yubo Luo , Shahriar Nirjon

Energy-harvesting (EH) Internet of Things (IoT) devices operate under intermittent energy availability, which disrupts task execution and makes energy-intensive over-the-air (OTA) updates particularly challenging. Conventional OTA update…

Hardware Architecture · Computer Science 2026-01-26 Wei Wei , Jingye Xu , Sahidul Islam , Dakai Zhu , Chen Pan , Mimi Xie
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