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Context: Concurrent objects with asynchronous messaging are an increasingly popular way to structure highly available, high performance, large-scale software systems. To ensure data-consistency and support synchronization between objects…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-11 Tim Soethout , Tijs van der Storm , Jurgen Vinju

The pursuit of power-efficiency is popularizing asymmetric multicore processors (AMP) such as ARM big.LITTLE, Apple M1 and recent Intel Alder Lake with big and little cores. However, we find that existing scalable locks fail to scale on AMP…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-30 Nian Liu , Jinyu Gu , Dahai Tang , Kenli Li , Binyu Zang , Haibo Chen

Hyperledger Fabric is a distributed operating system for permissioned blockchains hosted by the Linux Foundation. It is the first truly extensible blockchain system for running distributed applications at enterprise grade scale. To achieve…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-02 Hagar Meir , Artem Barger , Yacov Manevich , Yoav Tock

We present an alternative approach to solve the hardware (HW) and software (SW) partitioning problem, which uses Bounded Model Checking (BMC) based on Satisfiability Modulo Theories (SMT) in conjunction with a multi-core support using Open…

Logic in Computer Science · Computer Science 2015-09-09 Alessandro Trindade , Hussama Ismail , Lucas Cordeiro

Applications running in modern multithreaded environments are sometimes \emph{over-threaded}. The excess threads do not improve performance, and in fact may act to degrade performance via \emph{scalability collapse}. Often, such software…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-13 Dave Dice

The goals of reducing energy costs, shifting electricity peaks, increasing the use of renewable energy, and enhancing the stability of the electric grid can be met in part by fully exploiting the energy flexibility potential of buildings…

Multicore timing interference, arising when multiple requests contend for the same shared hardware resources, is a primary concern for timing verification and validation of time-critical applications. Bandwidth control and regulation…

Software developers are expected to protect concurrent accesses to shared regions of memory with some mutual exclusion primitive that ensures atomicity properties to a sequence of program statements. This approach prevents data races but…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-13 Diogo G. Sousa , Ricardo J. Dias , Carla Ferreira , João M. Lourenço

This paper presents a distributed rule-based Lloyd algorithm (RBL) for multi-robot motion planning and control. The main limitations of the basic Loyd-based algorithm (LB) concern deadlock issues and the failure to address dynamic…

Heterogeneous multicore architectures are becoming increasingly popular due to their potential of achieving high performance and energy efficiency compared to the homogeneous multicore architectures. In such systems, the real-time…

Operating Systems · Computer Science 2014-05-29 Guangmo Tong , Cong Liu

In this paper we are interested in bounding the number of instructions taken to process transactions. The main result is a multiversion transactional system that supports constant delay (extra instructions beyond running in isolation) for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-17 Naama Ben-David , Guy E. Blelloch , Yihan Sun , Yuanhao Wei

AES, Advanced Encryption Standard, can be considered the most widely used modern symmetric key encryption standard. To encrypt/decrypt a file using the AES algorithm, the file must undergo a set of complex computational steps. Therefore a…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-31 A. Barnes , R. Fernando , K. Mettananda , R. G. Ragel

Recent data protection and data governance regulations have intensified the demand for interoperable, decentralized data ecosystems that can support not only access control but also legally-aligned governance over data use. Existing…

Emerging Technologies · Computer Science 2026-01-27 Wout Slabbinck , Wouter Termont , Ruben Dedecker , Beatriz Esteves

Lock-free data objects offer several advantages over their blocking counterparts, such as being immune to deadlocks and convoying and, more importantly, being highly concurrent. But they share a common disadvantage in that the operations…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-10-05 Daniel Cederman , Philippas Tsigas

The Check tools automate formal memory consistency model and security verification of processors by analyzing abstract models of microarchitectures, called $\mu$SPEC models. Despite the efficacy of this approach, a verification gap between…

Cryptography and Security · Computer Science 2024-10-01 Yao Hsiao , Nikos Nikoleris , Artem Khyzha , Dominic P. Mulligan , Gustavo Petri , Christopher W. Fletcher , Caroline Trippel

Agent skills - structured packages of instructions, scripts, and references that augment a large language model (LLM) without modifying the model itself - have moved from convenience to first-class deployment artifact. The runtime that…

Cryptography and Security · Computer Science 2026-05-18 Alfredo Metere

Industrial Control Systems (ICS) are often built from geographically distributed components and often use programmable logic controllers for localized processes. Since verification of such systems is challenging because of both time…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-01 Ritam Ganguly , Borzoo Bonakdarpour

The increasing scale of manycore systems poses significant challenges in managing reliability while meeting performance demands. Simultaneously, these systems become more susceptible to different aging mechanisms such as negative-bias…

Machine Learning · Computer Science 2024-12-30 Fatemeh Hossein-Khani , Omid Akbari

Data-parallel (DP) load balancing has emerged as a first-order bottleneck in large-scale LLM serving. When a model is sharded across devices via tensor parallelism (TP) or expert parallelism (EP) and replicated across many DP workers, every…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-11 Tianci Bu , Yuan Lyu , Zixi Chen , Chendong Song , Hong Liang , Tsepten Gurung , Yuwei Fan , Yinyu Ye , Zijie Zhou

Constraint Handling Rules (CHR) is a declarative rule-based formalism and language. Concurrency is inherent as rules can be applied to subsets of constraints in parallel. Parallel implementations of CHR, be it in software, be it in…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-24 Thom Frühwirth , Daniel Gall
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