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Automated driving functions at high levels of autonomy operate without driver supervision. The system itself must provide suitable responses in case of hardware element failures. This requires fault-tolerant approaches using domain ECUs and…

Computers and Society · Computer Science 2022-10-11 Tim Maurice Julitz , Antoine Tordeux , Manuel Löwer

Contrary to common belief, a recent work by Ellen, Gelashvili, Shavit, and Zhu has shown that computability does not require multicore architectures to support "strong" synchronization instructions like compare-and-swap, as opposed to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-09 Rati Gelashvili , Idit Keidar , Alexander Spiegelman , Roger Wattenhofer

We develop and prove sound a concurrent separation logic for Pthreads-style barriers. Although Pthreads barriers are widely used in systems, and separation logic is widely used for verification, there has not been any effort to combine the…

Logic in Computer Science · Computer Science 2015-07-01 Aquinas Hobor , Cristian Gherghina

Advancements in multi-core have created interest among many research groups in finding out ways to harness the true power of processor cores. Recent research suggests that on-board component such as cache memory plays a crucial role in…

Hardware Architecture · Computer Science 2011-11-15 N. Ramasubramanian , Srinivas V. V. , N. Ammasai Gounden

MerLean-Prover is an end-to-end Lean4 theorem prover that replaces sorry declarations with kernel-checkable proofs. It is built from three agent types (Planning, Check, and Lean) composed by a recursive outer loop whose unit of revision is…

Logic in Computer Science · Computer Science 2026-05-28 Jinzheng Li , Zeru Zhu , Yuanjie Ren

Multi-threaded programs have traditionally fallen into one of two domains: cooperative and competitive. These two domains have traditionally remained mostly disjoint, with cooperative threading used for increasing throughput in…

Programming Languages · Computer Science 2018-07-11 Stefan K. Muller , Umut A. Acar , Robert Harper

Large language models (LLMs) are being increasingly adopted in the software engineering domain, yet the robustness of their grasp on core software design concepts remains unclear. We conduct an empirical study to systematically evaluate…

Software Engineering · Computer Science 2025-12-30 Mootez Saad , Boqi Chen , José Antonio Hernández López , Dániel Varró , Tushar Sharma

In order to understand the relative expressive power of larger concurrent programming languages, we analyze translations of small process calculi which model the communication and synchronization of concurrent processes. The source language…

Logic in Computer Science · Computer Science 2021-08-26 Manfred Schmidt-Schauß , David Sabel

Real-time and cyber-physical systems need to interact with and respond to their physical environment in a predictable time. While multicore platforms provide incredible computational power and throughput, they also introduce new sources of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-29 Ayoosh Bansal , Jayati Singh , Yifan Hao , Jen-Yang Wen , Renato Mancuso , Marco Caccamo

This paper addresses the reservoir design problem in the context of delay-based reservoir computers for multidimensional input signals, parallel architectures, and real-time multitasking. First, an approximating reservoir model is presented…

Neural and Evolutionary Computing · Computer Science 2015-10-15 Lyudmila Grigoryeva , Julie Henriques , Laurent Larger , Juan-Pablo Ortega

Lockstep processing is a recognized technique for helping to secure functional-safety relevant processing against, for instance, single upset errors that might cause faulty execution of code. Lockstepping processors does however bind…

Hardware Architecture · Computer Science 2021-07-20 Hans Dermot Doran , Timo Lang

We propose a memory-model-aware static program analysis method for accurately analyzing the behavior of concurrent software running on processors with weak consistency models such as x86-TSO, SPARC-PSO, and SPARC-RMO. At the center of our…

Programming Languages · Computer Science 2017-09-29 Markus Kusano , Chao Wang

This paper delves into recent hardware implementations of the Lempel-Ziv 4 (LZ4) algorithm, highlighting two key factors that limit the throughput of single-kernel compressors. Firstly, the actual parallelism exhibited in single-kernel…

Hardware Architecture · Computer Science 2024-09-20 Tao Chen , Suwen Song , Zhongfeng Wang

A critical component in the implementation of a concurrent tabling system is the design of the table space. One of the most successful proposals for representing tables is based on a two-level trie data structure, where one trie level…

Programming Languages · Computer Science 2014-05-15 Miguel Areias , Ricardo Rocha

Concurrent program refinement algebra provides a suitable basis for supporting mechanised reasoning about shared-memory concurrent programs in a compositional manner, for example, it supports the rely/guarantee approach of Jones. The…

Logic in Computer Science · Computer Science 2018-05-30 Ian J. Hayes , Larissa A. Meinicke

A standard design pattern found in many concurrent data structures, such as hash tables or ordered containers, is alternation of parallelizable sections that incur no data conflicts and critical sections that must run sequentially and are…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-13 Vitaly Aksenov , Daniil Bolotov , Petr Kuznetsov

Deadlocks occur in concurrent programs as a consequence of cyclic resource acquisition between threads. In this paper we present a novel type system that guarantees deadlock freedom for a language with references, unstructured locking…

Programming Languages · Computer Science 2011-10-20 Prodromos Gerakios , Nikolaos Papaspyrou , Konstantinos Sagonas

Parallelism is a ubiquitous method for accelerating machine learning algorithms. However, theoretical analysis of parallel learning is usually done in an algorithm- and protocol-specific setting, giving little insight about how changes in…

Machine Learning · Computer Science 2020-06-09 Yucheng Lu , Jack Nash , Christopher De Sa

We propose using reinforcement learning to address the challenges of discovering microarchitectural vulnerabilities, such as Spectre and Meltdown, which exploit subtle interactions in modern processors. Traditional methods like random…

Cryptography and Security · Computer Science 2025-02-21 M. Caner Tol , Kemal Derya , Berk Sunar

A compiler bug arises if the behaviour of a compiled concurrent program, as allowed by its architecture memory model, is not a behaviour permitted by the source program under its source model. One might reasonably think that most compiler…

Programming Languages · Computer Science 2024-01-19 Luke Geeson
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