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Multi-cloud computing is a promising paradigm to support very large scale world wide distributed applications. Multi-cloud computing is the usage of multiple, independent cloud environments, which assumed no priori agreement between cloud…

Software Engineering · Computer Science 2014-07-09 Fawaz Paraiso , Philippe Merle , Lionel Seinturier

We report on the development of a modular platform for programmable quantum simulation with atomic quantum gases. The platform is centered around exchangeable optical modules with versatile functionalities. The performance of each module is…

In this paper we describe the architecture of a Platform as a Service (PaaS) oriented to computing and data analysis. In order to clarify the choices we made, we explain the features using practical examples, applied to several known usage…

-The explosive trend of smartphone usage as the most effective and convenient communication tools of human life in recent years make developers build ever more complex smartphone applications. Gaming, navigation, video editing, augmented…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-09 Roya Golchay , Frédéric Le Mouël , Julien Ponge , Nicolas Stouls

In this work, we investigate the computational aspects of asynchronous cellular automata (ACAs), a modification of cellular automata in which cells update independently, following an asynchronous schedule. We introduce flip automata…

Formal Languages and Automata Theory · Computer Science 2025-10-20 Ivan Baburin , Matthew Cook , Florian Grötschla , Andreas Plesner , Roger Wattenhofer

The Serenity-S1 is a Xilinx Virtex Ultrascale+ based Advanced Telecommunications Computing Architecture (ATCA) processing blade that has been optimised for production. It incorporates many developments from the Serenity-A and Serenity-Z…

FPGAs are increasingly prevalent in cloud deployments, serving as Smart NICs or network-attached accelerators. Despite their potential, developing distributed FPGA-accelerated applications remains cumbersome due to the lack of appropriate…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-20 Zhenhao He , Dario Korolija , Yu Zhu , Benjamin Ramhorst , Tristan Laan , Lucian Petrica , Michaela Blott , Gustavo Alonso

Field Programmable Gate Arrays (FPGAs) have recently been increasingly used for highly-parallel processing of compute intensive tasks. This paper introduces an FPGA hardware platform architecture that is PC-based, allows for fast…

Hardware Architecture · Computer Science 2007-05-23 Andreas Weisensee , Darran Nathan

ESP is an open-source research platform for heterogeneous SoC design. The platform combines a modular tile-based architecture with a variety of application-oriented flows for the design and optimization of accelerators. The ESP architecture…

Existing open-source modeling frameworks dedicated to energy systems optimization typically utilize (mixed-integer) linear programming ((MI)LP) formulations, which lack modeling freedom for technical system design and operation. We present…

The Operational Technology Platform as a Service (OTPaaS) initiative provides a structured framework for the efficient management and storage of data. It ensures excellent response times while improving security, reliability, data and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-27 Carlos J Barrios , Yves Denneulin

The self-* properties commonly associated with the concept of autonomic computing are capabilities desirable for avionics software platforms. They decrease the configuration effort and inherently provide new fault tolerance and resource…

Software Engineering · Computer Science 2021-03-24 Bjoern Annighoefer , Johannes Reinhart , Matthias Brunner , Bernd Schulz

We propose a novel fifth-generation (5G) rapid prototyping (RaPro) system architecture by combining FPGA-privileged modules from a software defined radio (or FPGA-coprocessor) and high-level programming language for advanced algorithms from…

Information Theory · Computer Science 2017-04-18 Xi Yang , Zhichao Huang , Bin Han , Senjie Zhang , Chao-Kai Wen , Feifei Gao , Shi Jin

Advanced Driver-Assistance Systems (ADAS) is one of the primary drivers behind increasing levels of autonomy, driving comfort in this age of connected mobility. However, the performance of such systems is a function of execution rate which…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-14 Anirban Ghose , Srijeeta Maity , Arijit Kar , Kaustubh Maloo , Soumyajit Dey

The advancement of AI technologies has greatly increased the complexity of AI pipelines as they include many stages such as data collection, pre-processing, training, evaluation and visualisation. To provide effective and accessible AI…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-17 Simon Torka , Sahin Albayrak

We propose a small, shared core ontology for particle accelerators that provides a semantic backbone for interoperable data and workflows across facilities. The ontology names key device types, signals, parameters, and regions, and relates…

Accelerator Physics · Physics 2025-12-02 Chris Tennant

This paper describes the design and implementation of an audio interface for the Patmos processor, which runs on an Altera DE2-115 FPGA board. This board has an audio codec included, the WM8731. The interface described in this work allows…

Hardware Architecture · Computer Science 2017-01-24 Daniel Sanz Ausin , Fabian Goerge

We propose a novel computing runtime that exposes remote compute devices via the cross-vendor open heterogeneous computing standard OpenCL and can execute compute tasks on the MEC cluster side across multiple servers in a scalable manner.…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-16 Jan Solanti , Michal Babej , Julius Ikkala , Pekka Jääskeläinen

Reconfigurable computing refers to the use of processors, such as Field Programmable Gate Arrays (FPGAs), that can be modified at the hardware level to take on different processing tasks. A reconfigurable computing platform describes the…

Hardware Architecture · Computer Science 2007-05-23 Darran Nathan , Kelvin Lim Mun Kit , Kelly Choo Hon Min , Philip Wong Jit Chin , Andreas Weisensee

Large Language Model (LLM) agents have recently shown strong potential in domains such as automated coding, deep research, and graphical user interface manipulation. However, training them to succeed on long-horizon, domain-specialized…