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Related papers: Elements of Scheduling

200 papers

Designing high-quality, standards-aligned instructional materials for K--12 science is time-consuming and expertise-intensive. This study examines what human experts notice when reviewing AI-generated evaluations of such materials, aiming…

Computers and Society · Computer Science 2026-02-17 Peng He , Zhaohui Li , Zeyuan Wang , Jinjun Xiong , Tingting Li

This paper shares a classroom story from Fall 2022 to Spring 2025 about a learner centered routine in undergraduate mathematics. I use four steps: an opening question, a short mini lecture about meaning, structured small group work, and a…

History and Overview · Mathematics 2025-12-12 Hyeeun Jang

Railway scheduling consists in ensuring that a set of trains evolve in a shared rail network without collisions, while meeting schedule constraints. This problem is notoriously difficult, even more in the case of uncertain or even unknown…

Systems and Control · Electrical Eng. & Systems 2024-12-09 Étienne André

I have merged the lecture notes (in french) of two 24 hour courses I taught at the university Pierre-et-Marie Curie (Paris 6) during the first semester of the academic year 2013-2014. The first one was devoted to the general material that…

Algebraic Geometry · Mathematics 2014-01-07 Antoine Ducros

LLMs have been widely used in planning, either as planners to generate action sequences end-to-end, or as formalizers to represent the planning domain and problem in a formal language that can derive plans deterministically. However, both…

Computation and Language · Computer Science 2026-04-17 Cassie Huang , Stuti Mohan , Ziyi Yang , Stefanie Tellex , Li Zhang

In this paper, we investigate the use of deep learning for solving a classical NP-Hard single machine scheduling problem where the criterion is to minimize the total tardiness. Instead of designing an end-to-end machine learning model, we…

Artificial Intelligence · Computer Science 2020-05-13 Michal Bouška , Antonín Novák , Přemysl Šůcha , István Módos , Zdeněk Hanzálek

In this manuscript I overview my work on developing a Theory for Distributed Systems -- work that has involved many students and other collaborators. This effort started at Georgia Tech in the late 1970s, and has continued at MIT since…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-03 Nancy Lynch

This paper presents a novel methodology to develop scheduling algorithms. The scheduling problem is phrased as a control problem, and control-theoretical techniques are used to design a scheduling algorithm that meets specific requirements.…

Systems and Control · Computer Science 2010-09-20 Carlo A. Furia , Alberto Leva , Martina Maggio , Paola Spoletini

This is a slightly edited translation of a paper in Dutch which appeared in Nieuw Archief voor Wiskunde (5) 25 (2024), No.2, 87-90 on the occasion of I.G. Macdonald's death in 2023, and aimed at a very broad mathematical audience. First we…

History and Overview · Mathematics 2026-01-13 Gert Heckman , Tom Koornwinder , Eric Opdam

Task graphs provide a simple way to describe scientific workflows (sets of tasks with dependencies) that can be executed on both HPC clusters and in the cloud. An important aspect of executing such graphs is the used scheduling algorithm.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-18 Jakub Beránek , Stanislav Böhm , Vojtěch Cima

Distributed cloud environments hosting data-intensive applications often experience slowdowns due to network congestion, asymmetric bandwidth, and inter-node data shuffling. These factors are typically not captured by traditional host-level…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-21 Sankalpa Timilsina , Susmit Shannigrahi

In this paper, we propose a neural architecture and a set of training methods for ordering events by predicting temporal relations. Our proposed models receive a pair of events within a span of text as input and they identify temporal…

Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-02 Wei Gao , Qinghao Hu , Zhisheng Ye , Peng Sun , Xiaolin Wang , Yingwei Luo , Tianwei Zhang , Yonggang Wen

Criminal courts across the United States handle millions of cases every year, and the scheduling of those cases must accommodate a diverse set of constraints, including the preferences and availability of courts, prosecutors, and defense…

Machine Learning · Computer Science 2024-10-24 My H Dinh , James Kotary , Lauryn P. Gouldin , William Yeoh , Ferdinando Fioretto

Modern search engine ranking pipelines are commonly based on large machine-learned ensembles of regression trees. We propose LEAR, a novel - learned - technique aimed to reduce the average number of trees traversed by documents to…

Information Retrieval · Computer Science 2021-09-17 Francesco Busolin , Claudio Lucchese , Franco Maria Nardini , Salvatore Orlando , Raffaele Perego , Salvatore Trani

The present volume is the written version of the series of lectures the author delivered at the Catholic University of Leuven, Belgium during the period of June-July, 1990. The main purpose of these talks is to present some of author's work…

Differential Geometry · Mathematics 2013-07-17 Bang-Yen Chen

As AI cluster sizes continue to expand and the demand for large-language-model (LLM) training and inference workloads grows rapidly, traditional scheduling systems face significant challenges in balancing resource utilization, scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-03 Lingling Zeng , Gen Zhang , Jialin Peng , Xiang Xu , Yuan Xu , Lijun Ma

We present a heuristic algorithm for solving the problem of scheduling plans of tasks. The plans are ordered vectors of tasks, and tasks are basic operations carried out by resources. Plans are tied by temporal, precedence and resource…

Artificial Intelligence · Computer Science 2021-02-09 Davide Andrea Guastella

Working with documents is a key part of almost any knowledge work, from contextualizing research in a literature review to reviewing legal precedent. Recently, as their capabilities have expanded, primarily text-based NLP systems have often…

Computation and Language · Computer Science 2025-04-18 Sireesh Gururaja , Nupoor Gandhi , Jeremiah Milbauer , Emma Strubell

A group of Early-Career Researchers (ECRs) has been given a mandate from the European Committee for Future Accelerators (ECFA) to debate the topics of the current European Strategy Update (ESU) for Particle Physics and to summarise the…

High Energy Physics - Experiment · Physics 2020-02-10 N. Andari , L. Apolinário , K. Augsten , E. Bakos , I. Bellafont , L. Beresford , A. Bethani , J. Beyer , L. Bianchini , C. Bierlich , B. Bilin , K. L. Bjørke , E. Bols , P. A. Brás , L. Brenner , E. Brondolin , P. Calvo , B. Capdevila , I. Cioara , L. N. Cojocariu , F. Collamati , A. de Wit , F. Dordei , M. Dordevic , T. A. du Pree , L. Dufour , A. Dziurda , U. Einhaus , A. A. Elliot , S. Esen , J. Ferradas Troitino , C. Franco , J. García Pardiñas , A. García Alonso , A. Ghosh , G. Gilles , A. Giribono , L. Gouskos , E. Gouveia , E. Graverini , J. K. Heikkilä , H. N. Heracleous , T. Herman , N. Hermansson-Truedsson , J. Hrtánková , P. S. Hussain , A. Irles , H. Jansen , P. Kalaczynski , J. Karancsi , P. Kontaxakis , S. Kostoglou , A. Koulouris , M. Koval , K. Krizkova Gajdosova , J. A. Krzysiak , M. Kuich , O. Lantwin , F. Lasagni Manghi , L. Lechner , S. Leontsinis , K. Lieret , A. Lobanov , J. M. Lorenz , G. Luparello , N. Lurkin , K. H. Mankinen , E. Manoni , L. Mantani , R. Marchevski , C. Marin Benito , A. Mathad , J. McFayden , P. Milenovic , V. Milosevic , D. S. Mitzel , Z. Moravcová , L. Moureaux , G. A. Mullier , M. E. Nelson , J. Ngadiuba , N. Nikiforou , M. W. OKeefe , R. Pedro , J. Pekkanen , M. Queitsch-Maitland , M. P. L. P. Ramos , C. Ø. Rasmussen , J. Rembser , E. T. J. Reynolds , M. Sas , R. Schöfbeck , M. Schenk , P. Schwendimann , K. Shchelina , M. Shopova , S. Sekmen , S. Spannagel , I. A. Sputowska , R. Staszewski , P. Sznajder , A. Takacs , V. T. Tenorth , L. Thomas , R. Torre , F. Trovato , M. Valente , H. Van Haevermaet , J. Vanek , M. Verstraeten , P. Verwilligen , M. Verzetti , V. Vislavicius , B. Vormwald , E. Vourliotis , J. Walder , C. Wiglesworth , S. L. Williams , A. Zaborowska , D. Zanzi , L. Zivkovic
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