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Meshless methods approximate operators in a specific node as a weighted sum of values in its neighbours. Higher order approximations of derivatives provide more accurate solutions with better convergence characteristics, but they come at…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-12 Jon Vehovar , Miha Rot , Gregor Kosec

It is well-known that many environment-based abstract machines can be seen as strategies in lambda calculi with explicit substitutions (ES). Recently, graphical syntaxes and linear logic led to the linear substitution calculus (LSC), a new…

Programming Languages · Computer Science 2014-06-11 Beniamino Accattoli , Pablo Barenbaum , Damiano Mazza

Nowadays, tiered architectures are widely accepted for constructing large scale information systems. In this context application servers often form the bottleneck for a system's efficiency. An application server exposes an object oriented…

Databases · Computer Science 2007-05-23 Daniel Pfeifer , Peter C. Lockemann

The need for computational resources grows as computational algorithms gain popularity in different sectors of the scientific community. This search has stimulated the development of several cloud platforms that abstract the complexity of…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-18 Henrique C. T. Santos , Luciano S. de Souza , Jonathan H. A. de Carvalho , Tiago A. E. Ferreira

Recent trends like the Internet of Things (IoT) suggest a vision of dense and multi-scale deployments of computing devices in nearly all kinds of environments. A prominent engineering challenge revolves around programming the collective…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-08 Giorgio Audrito , Roberto Casadei , Ferruccio Damiani , Gianluca Torta , Mirko Viroli

Many scientific workflows can be modeled as a Directed Acyclic Graph (henceforth mentioned as DAG) where the nodes represent individual tasks and the directed edges represent data and control flow dependency between two tasks. Due to large…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-20 Atharva Tekawade , Suman Banerjee

When the data are stored in a distributed manner, direct application of traditional statistical inference procedures is often prohibitive due to communication cost and privacy concerns. This paper develops and investigates two…

Machine Learning · Statistics 2021-08-04 Jianqing Fan , Yongyi Guo , Kaizheng Wang

Edge computing is an emerging paradigm to enable low-latency applications, like mobile augmented reality, because it takes the computation on processing devices that are closer to the users. On the other hand, the need for highly scalable…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-21 Claudio Cicconetti , Marco Conti , Andrea Passarella

The advantages of tabled evaluation regarding program termination and reduction of complexity are well known --as are the significant implementation, portability, and maintenance efforts that some proposals (especially those based on…

Programming Languages · Computer Science 2009-01-27 Pablo Chico de Guzman , Manuel Carro , Manuel V. Hermenegildo

The current trend of technology has brought parallel machines equipped with multiple processors and multiple memory sockets to be available off-the-shelf -- or via renting through Iaas Clouds -- at reasonable costs. This has opened the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-26 Romolo Marotta , Francesco Quaglia

Asynchronous executions of a distributed algorithm differ from each other due to the nondeterminism in the order in which the messages exchanged are handled. In many situations of interest, the asynchronous executions induced by restricting…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-11 Ricardo C. Correa , Valmir C. Barbosa

Many secure communication libraries used by distributed systems, such as SSL, TLS, and Kerberos, fail to make a clear distinction between the authentication, session, and communication layers. In this paper we introduce CEDAR, the secure…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-10 Zach Miller , Dan Bradley , Todd Tannenbaum , Igor Sfiligoi

Li {\it et al}. introduced coded distributed computing (CDC) scheme to reduce the communication load in general distributed computing frameworks such as MapReduce. They also proposed cascaded CDC schemes where each output function is…

Information Theory · Computer Science 2021-11-25 Jing Jiang , Lingxiao Qu

The complexity of large-scale distributed systems, particularly when deployed in physical space, calls for new mechanisms to address composability and reusability of collective adaptive behaviour. Computational fields have been proposed as…

Logic in Computer Science · Computer Science 2019-01-15 Mirko Viroli , Giorgio Audrito , Ferruccio Damiani , Danilo Pianini , Jacob Beal

We study the optimal design of a heterogeneous coded elastic computing (CEC) network where machines have varying relative computation speeds. CEC introduced by Yang {\it et al.} is a framework which mitigates the impact of elastic events,…

Information Theory · Computer Science 2020-01-14 Nicholas Woolsey , Rong-Rong Chen , Mingyue Ji

Hybrid Communicating Sequential Processes (HCSP) is a powerful formal modeling language for hybrid systems, which is an extension of CSP by introducing differential equations for modeling continuous evolution and interrupts for modeling…

Logic in Computer Science · Computer Science 2016-09-09 Gaogao Yan , Li Jiao , Yangjia Li , Shuling Wang , Naijun Zhan

Distributed applications, such as database queries and distributed training, consist of both compute and network tasks. DAG-based abstraction primarily targets compute tasks and has no explicit network-level scheduling. In contrast, Coflow…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-16 Weitao Wang , Sushovan Das , Xinyu Crystal Wu , Zhuang Wang , Ang Chen , T. S. Eugene Ng

This technical report describes a new extension to capability machines. Capability machines are a special type of processors that include better security primitives at the hardware level. In capability machines, every word has an associated…

Programming Languages · Computer Science 2020-06-03 Sander Huyghebaert , Thomas Van Strydonck , Steven Keuchel , Dominique Devriese

We describe a derivational approach to abstract interpretation that yields novel and transparently sound static analyses when applied to well-established abstract machines for higher-order and imperative programming languages. To…

Programming Languages · Computer Science 2011-07-19 David Van Horn , Matthew Might

We propose CFS, a distributed file system for large scale container platforms. CFS supports both sequential and random file accesses with optimized storage for both large files and small files, and adopts different replication protocols for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-11 Haifeng Liu , Wei Ding , Yuan Chen , Weilong Guo , Shuoran Liu , Tianpeng Li , Mofei Zhang , Jianxing Zhao , Hongyin Zhu , Zhengyi Zhu