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Related papers: Checkpointing to minimize completion time for Inte…

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Saving, or checkpointing, intermediate results during interactive data exploration can potentially boost user productivity. However, existing studies on this topic are limited, as they primarily rely on small-scale experiments with human…

Human-Computer Interaction · Computer Science 2025-04-03 Hanxi Fang , Supawit Chockchowwat , Hari Sundaram , Yongjoo Park

We present the basic idea, implementation, measured performance and performance model of FDPS (Framework for developing particle simulators). FDPS is an application-development framework which helps the researchers to develop particle-based…

Instrumentation and Methods for Astrophysics · Physics 2016-06-15 Masaki Iwasawa , Ataru Tanikawa , Natsuki Hosono , Keigo Nitadori , Takayuki Muranushi , Junichiro Makino

The reliability of concurrent and distributed systems often depends on some well-known techniques for fault tolerance. One such technique is based on checkpointing and rollback recovery. Checkpointing involves processes to take snapshots of…

Programming Languages · Computer Science 2023-11-15 Germán Vidal

Finding the best way to schedule operations in a computation graph is a classical NP-hard problem which is central to compiler optimization. However, evaluating the goodness of a schedule on the target hardware can be very time-consuming.…

Artificial Intelligence · Computer Science 2023-02-15 David W. Zhang , Corrado Rainone , Markus Peschl , Roberto Bondesan

Runtime verification or runtime monitoring equips safety-critical cyber-physical systems to augment design assurance measures and ensure operational safety and security. Cyber-physical systems have interaction failures, attack surfaces, and…

Software Engineering · Computer Science 2022-06-23 Smitha Gautham , Georgios Bakirtzis , Alexander Will , Athira V. Jayakumar , Carl R. Elks

Techniques to evaluate a program's cache performance fall into two camps: 1. Traditional trace-based cache simulators precisely account for sophisticated real-world cache models and support arbitrary workloads, but their runtime is…

Programming Languages · Computer Science 2022-03-29 Canberk Morelli , Jan Reineke

Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads. A robust approach that can dynamically adapt in runtime while maintaining the maximum…

Performance · Computer Science 2021-08-31 Umar Ibrahim Minhas , Lev Mukhanov , Georgios Karakonstantis , Hans Vandierendonck , Roger Woods

Balancing the workload of sophisticated simulations is inherently difficult, since we have to balance both computational workload and memory footprint over meshes that can change any time or yield unpredictable cost per mesh entity, while…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-04 Philipp Samfass , Tobias Weinzierl , Dominic E. Charrier , Michael Bader

The technologies of heterogeneous multi-core architectures, co-location, and virtualization can be used to reduce server power consumption and improve system utilization, which are three important technologies for data centers. This article…

Operating Systems · Computer Science 2023-10-24 Yecheng Yang , Pu Pang , Jiawen Wang , Quan Chen , Minyi Guo

The performance of distributed and data-centric applications often critically depends on the interconnecting network. Applications are hence modeled as virtual networks, also accounting for resource demands on links. At the heart of…

Data Structures and Algorithms · Computer Science 2021-05-18 Aleksander Figiel , Leon Kellerhals , Rolf Niedermeier , Matthias Rost , Stefan Schmid , Philipp Zschoche

We provide a multilevel approach for analysing performances of parallel algorithms. The main outcome of such approach is that the algorithm is described by using a set of operators which are related to each other according to the problem…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-18 Luisa D'Amore , Valeria Mele , Diego Romano , Giuliano Laccetti

Consider a system in which tasks of different execution times arrive continuously and have to be executed by a set of processors that are prone to crashes and restarts. In this paper we model and study the impact of parallelism and failures…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-11 Antonio Fernández Anta , Chryssis Georgiou , Dariusz R. Kowalski , Elli Zavou

Distributed applications running on a large cluster environment, such as the cloud instances will have shorter execution time. However, the application might suffer from sudden termination due to unpredicted computing node failures, thus…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-30 Basma Abdel Azeem , Manal Helal

Power consumption costs takes upto half of operational expenses of datacenters making power management a critical concern. Advances in processor technology provide fine-grained control over operating frequency and voltage of processors and…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-13 Swetha P. T. Srinivasan , Umesh Bellur

Previous work has shown that there are two major complexity barriers in the synthesis of fault-tolerant distributed programs: (1) generation of fault-span, the set of states reachable in the presence of faults, and (2) resolving deadlock…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-12-15 Fuad Abujarad , Borzoo Bonakdarpour , Sandeep S. Kulkarni

We present OptEx, a closed-form model of job execution on Apache Spark, a popular parallel processing engine. To the best of our knowledge, OptEx is the first work that analytically models job completion time on Spark. The model can be used…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Subhajit Sidhanta , Wojciech Golab , Supratik Mukhopadhyay

Checkpointing to preserve training states is crucial during the development of Large Foundation Models (LFMs), for training resumption upon various failures or changes in GPU resources and parallelism configurations. In addition, saved…

Artificial Intelligence · Computer Science 2025-04-03 Borui Wan , Mingji Han , Yiyao Sheng , Yanghua Peng , Haibin Lin , Mofan Zhang , Zhichao Lai , Menghan Yu , Junda Zhang , Zuquan Song , Xin Liu , Chuan Wu

Particle tracking has several important applications for solute transport studies in aquifer systems. Travel time distribution at observation points, particle coordinates in time and streamlines are some practical results providing…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-28 Rodrigo Pérez-Illanes , Daniel Fernàndez-Garcia

Parameters of a virtual synchronous machine in a small microgrid are optimised. The dynamical behaviour of the system is simulated after a perturbation, where the system needs to return to its steady state. The cost functional evaluates the…

Optimization and Control · Mathematics 2017-03-07 Timo Dewenter , Wiebke Heins , Benjamin Werther , Alexander K. Hartmann , Christian Bohn , Hans-Peter Beck

We study the problem of scheduling jobs on fault-prone machines communicating via a shared channel, also known as multiple-access channel. We have $n$ arbitrary length jobs to be scheduled on $m$ identical machines, $f$ of which are prone…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-26 Marek Klonowski , Dariusz R. Kowalski , Jarosław Mirek , Prudence W. H. Wong
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