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In this paper, we discuss our approach and algorithmic framework for solving large-scale security constrained optimal power flow (SCOPF) problems. SCOPF is a mixed integer non-convex optimization problem that aims to obtain the minimum…

Optimization and Control · Mathematics 2020-06-02 Mohammadhafez Bazrafshan , Kyri Baker , Javad Mohammadi

Constrained multiobjective optimization has gained much interest in the past few years. However, constrained multiobjective optimization problems (CMOPs) are still unsatisfactorily understood. Consequently, the choice of adequate CMOPs for…

Neural and Evolutionary Computing · Computer Science 2023-02-07 Aljoša Vodopija , Tea Tušar , Bogdan Filipič

The detection of sequential patterns in data is a basic functionality of modern data processing systems for complex event processing (CEP), OLAP, and retrieval-augmented generation (RAG). In practice, pattern matching is challenging, since…

Databases · Computer Science 2025-11-07 Cong Yu , Tuo Shi , Matthias Weidlich , Bo Zhao

We present a concurrent framework for Win32 programming based on Concurrent ML, a concurrent language with higher-order functions, static typing, lightweight threads and synchronous communication channels. The key points of the framework…

Programming Languages · Computer Science 2007-05-23 Riccardo Pucella

This paper explores the use of Answer Set Programming (ASP) in solving Distributed Constraint Optimization Problems (DCOPs). The paper provides the following novel contributions: (1) It shows how one can formulate DCOPs as logic programs;…

Multiagent Systems · Computer Science 2017-05-12 Tiep Le , Tran Cao Son , Enrico Pontelli , William Yeoh

Implementing a concurrent data structure typically begins with defining its sequential specification. However, when used \emph{as is}, a nontrivial sequential data structure, such as a linked list, a search tree, or a hash table, may expose…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-07 Vincent Gramoli , Petr Kuznetsov , Srivatsan Ravi

To protect multicores from soft-error perturbations, resiliency schemes have been developed with high coverage but high power and performance overheads. Emerging safety-critical machine learning applications are increasingly being deployed…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-11 Qingchuan Shi , Hamza Omar , Omer Khan

Despite widespread interest in multicore computing, concur- rency models in mainstream languages often lead to subtle, error-prone code. Observationally Cooperative Multithreading (OCM) is a new approach to shared-memory parallelism.…

In this paper we tackle the problem of automatically designing concurrent data structure operations given a sequential data structure specification and knowledge about concurrent behavior. Designing concurrent code is a non-trivial task…

Logic in Computer Science · Computer Science 2020-11-10 Sarat Chandra Varanasi , Neeraj Mittal , Gopal Gupta

In this paper we address the deadlock detection problem in the context of SCOOP - an OO-programming model for concurrency, recently formalized in Maude. We present the integration of a deadlock detection mechanism on top of the…

Programming Languages · Computer Science 2014-10-07 Georgiana Caltais , Bertrand Meyer

We tackle the problem of automatically designing concurrent data structure operations given a sequential data structure specification and knowledge about concurrent behavior. Designing concurrent code is a non-trivial task even in simplest…

Programming Languages · Computer Science 2021-09-27 Sarat Chandra Varanasi , Neeraj Mittal , Gopal Gupta

When verifying a concurrent program, it is usual to assume that memory is sequentially consistent. However, most modern multiprocessors depend on store buffering for efficiency, and provide native sequential consistency only at a…

Logic in Computer Science · Computer Science 2009-09-28 Ernie Cohen , Norbert Schirmer

Designing an efficient concurrent data structure is an important challenge that is not easy to meet. Intuitively, efficiency of an implementation is defined, in the first place, by its ability to process applied operations in parallel,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-15 Vitaly Aksenov , Vincent Gramoli , Petr Kuznetsov , Srivatsan Ravi , Di Shang

OpenMP is the de facto standard to exploit the on-node parallelism in new generation supercomputers.Despite its overall ease of use, even expert users are known to create OpenMP programs that harbor concurrency errors, of which one of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-15 Simone Atzeni , Ganesh Gopalakrishnan

The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool to model cooperative multi-agent problems that need to be solved distributively. A core assumption of existing approaches is that DCOP solutions can be…

Artificial Intelligence · Computer Science 2025-02-21 Ben Rachmut , Stylianos Loukas Vasileiou , Nimrod Meir Weinstein , Roie Zivan , William Yeoh

Emerging workloads, such as graph processing and machine learning are approximate because of the scale of data involved and the stochastic nature of the underlying algorithms. These algorithms are often distributed over multiple machines…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-28 Asim Kadav , Erik Kruus

Query processing in search engines can be optimized for use for all queries. For this, system component parameters such as the weighting function or the automatic query expansion model can be optimized or learned from past queries. However,…

Information Retrieval · Computer Science 2023-02-23 Josiane Mothe , Md Zia Ullah

Concurrency testing is essential to improve the reliability and security of multi-threaded programs. Dynamic analysis tools, such as TSan, depend on high-quality test drivers that reach critical shared-memory interactions at runtime.…

Software Engineering · Computer Science 2026-05-12 Yuandao Cai , Shuhao Fu , Wensheng Tang , Cheng Wen , Shengchao Qin , Charles Zhang

Efficient implementations of concurrent objects such as atomic collections are essential to modern computing. Programming such objects is error prone: in minimizing the synchronization overhead between concurrent object invocations, one…

Programming Languages · Computer Science 2017-07-04 Ahmed Bouajjani , Constantin Enea , Chao Wang

Designing scalable concurrent objects, which can be efficiently used on multicore processors, often requires one to abandon standard specification techniques, such as linearizability, in favor of more relaxed consistency requirements.…

Logic in Computer Science · Computer Science 2016-07-22 Ilya Sergey , Aleksandar Nanevski , Anindya Banerjee , German Andres Delbianco