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Most programming languages use monitors with explicit signals for synchronization in shared-memory programs. Requiring program- mers to signal threads explicitly results in many concurrency bugs due to missed notifications, or notifications…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-03-04 Wei-Lun Hung , Vijay K. Garg

In order to tackle the development of concurrent and distributed systems, the active object programming model provides a high-level abstraction to program concurrent behaviours. There exists already a variety of active object frameworks…

Programming Languages · Computer Science 2023-06-22 Ludovic Henrio , Justine Rochas

There are billions of lines of sequential code inside nowadays' software which do not benefit from the parallelism available in modern multicore architectures. Automatically parallelizing sequential code, to promote an efficient use of the…

Programming Languages · Computer Science 2016-04-13 Alcides Fonseca , Bruno Cabral , João Rafael , Ivo Correia

Task based parallel programming has shown competitive outcomes in many aspects of parallel programming such as efficiency, performance, productivity and scalability. Different approaches are used by different software development frameworks…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-09 Afshin Zafari

Computer vision applications constitute one of the key drivers for embedded multicore architectures. Although the number of available cores is increasing in new architectures, designing an application to maximize the utilization of the…

Computer Vision and Pattern Recognition · Computer Science 2015-02-27 Vítor Schwambach , Sébastien Cleyet-Merle , Alain Issard , Stéphane Mancini

This paper presents an approach that exploits Java annotations to provide meta information needed to automatically transform plain Java programs into parallel code that can be run on multicore workstation. Programmers just need to decorate…

Programming Languages · Computer Science 2013-06-11 Patrizio Dazzi

Neural-network classifiers achieve high accuracy when predicting the class of an input that they were trained to identify. Maintaining this accuracy in dynamic environments, where inputs frequently fall outside the fixed set of initially…

Machine Learning · Computer Science 2022-05-03 Anna Lukina , Christian Schilling , Thomas A. Henzinger

This paper presents a program logic for reasoning about multithreaded Java-like programs with dynamic thread creation, thread joining and reentrant object monitors. The logic is based on concurrent separation logic. It is the first detailed…

Logic in Computer Science · Computer Science 2015-07-01 Christian Haack , Marieke Huisman , Clément Hurlin , Afshin Amighi

In this paper we introduce a new programming model of multi-threaded actors which feature the parallel processing of their messages. In this model an actor consists of a group of active objects which share a message queue. We provide a…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-12 Keyvan Azadbakht , Frank S. de Boer , Vlad Serbanescu

Multithreaded software is typically built with specialized concurrent objects like atomic integers, queues, and maps. These objects' methods are designed to behave according to certain consistency criteria like atomicity, despite being…

Software Engineering · Computer Science 2017-06-29 Michael Emmi , Constantin Enea

The mutual-exclusion property of locks stands in the way to scalability of parallel programs on many-core architectures. Locks do not allow progress guarantees, because a task may fail inside a critical section and keep holding a lock that…

Programming Languages · Computer Science 2018-06-20 Johann Blieberger , Bernd Burgstaller

With the advent of multi-core systems, GPUs and FPGAs, loop parallelization has become a promising way to speed-up program execution. In order to stay up with time, various performance-oriented programming languages provide a multitude of…

Programming Languages · Computer Science 2022-05-10 Rishi Sharma , Shreyansh Kulshreshtha , Manas Thakur

As quantum computers continue to improve and support larger, more complex computations, smart control hardware and compilers are needed to efficiently leverage the capabilities of these systems. This paper introduces a novel approach to…

Quantum Physics · Physics 2025-11-19 Folkert de Ronde , Alexander Knapen , Stephan Wong , Sebastian Feld

The recent advancements in multicore machines highlight the need to simplify concurrent programming in order to leverage their computational power. One way to achieve this is by designing efficient concurrent data structures (e.g. stacks,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-31 Nikolaos D. Kallimanis

Multithreaded programs generally leverage efficient and thread-safe concurrent objects like sets, key-value maps, and queues. While some concurrent-object operations are designed to behave atomically, each witnessing the atomic effects of…

Logic in Computer Science · Computer Science 2019-11-06 Siddharth Krishna , Michael Emmi , Constantin Enea , Dejan Jovanovic

Recent advancements in neural rendering technologies and their supporting devices have paved the way for immersive 3D experiences, significantly transforming human interaction with intelligent devices across diverse applications. However,…

Graphics · Computer Science 2025-04-01 Chaojian Li , Sixu Li , Linrui Jiang , Jingqun Zhang , Yingyan Celine Lin

For using neural networks in safety critical domains, it is important to know if a decision made by a neural network is supported by prior similarities in training. We propose runtime neuron activation pattern monitoring - after the…

Machine Learning · Computer Science 2018-09-24 Chih-Hong Cheng , Georg Nührenberg , Hirotoshi Yasuoka

Motivated by the need for adaptive, secure and responsive scheduling in a great range of computing applications, including human-centered and time-critical applications, this paper proposes a scheduling framework that seamlessly adds…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-14 Georgios C. Chasparis , Vladimir Janjic , Michael Rossbory

This paper investigates session programming and typing of benchmark examples to compare productivity, safety and performance with other communications programming languages. Parallel algorithms are used to examine the above aspects due to…

Programming Languages · Computer Science 2010-02-05 Andi Bejleri , Raymond Hu , Nobuko Yoshida

Monitoring AIs at runtime can help us detect and stop harmful actions. In this paper, we study how to efficiently combine multiple runtime monitors into a single monitoring protocol. The protocol's objective is to maximize the probability…

Computers and Society · Computer Science 2025-10-22 Tim Tian Hua , James Baskerville , Henri Lemoine , Mia Hopman , Aryan Bhatt , Tyler Tracy
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