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In the future, computing will be immersed in the world around us -- from augmented reality to autonomous vehicles to the Internet of Things. Many of these smart devices will offer services that respond in real time to their physical…

Operating Systems · Computer Science 2019-01-07 Yuxin Ren , Vlad Nitu , Guyue Liu , Gabriel Parmer , Timothy Wood , Alain Tchana , Riley Kennedy

Many techniques in program synthesis, superoptimization, and array programming require parallel rollouts of general-purpose programs. GPUs, while capable targets for domain-specific parallelism, are traditionally underutilized by such…

Programming Languages · Computer Science 2026-04-15 Breandan Considine

Although existing frameworks for large language model (LLM) inference on CPUs are mature, they fail to fully exploit the computation potential of many-core CPU platforms. Many-core CPUs are widely deployed in web servers and high-end…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-14 Yuzhuang Xu , Xu Han , Yuxuan Li , Wanxiang Che

This paper presents ColonyOS, an open-source meta-operating system designed to improve integration and utilization of diverse computing platforms, including IoT, edge, cloud, and HPC. Operating as an overlay, ColonyOS can interface with a…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-26 Johan Kristiansson

This study investigates the potential of WebAssembly as a more secure and efficient alternative to Linux containers for executing untrusted code in cloud computing with Kubernetes. Specifically, it evaluates the security and performance…

Cryptography and Security · Computer Science 2024-11-07 Jasper Alexander Wiegratz

N-Variant Execution (NVX) systems utilize software diversity techniques for enhancing software security. The general idea is to run multiple different variants of the same program alongside each other while monitoring their run-time…

Cryptography and Security · Computer Science 2019-03-12 Alexios Voulimeneas , Dokyung Song , Fabian Parzefall , Yeoul Na , Per Larsen , Michael Franz , Stijn Volckaert

Modern GPU applications, such as machine learning (ML), can only partially utilize GPUs, leading to GPU underutilization in cloud environments. Sharing GPUs across multiple applications from different tenants can improve resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-17 Manos Pavlidakis , Giorgos Vasiliadis , Stelios Mavridis , Anargyros Argyros , Antony Chazapis , Angelos Bilas

Over the last decade, the cloud computing landscape has transformed from a centralised architecture made of large data centres to a distributed and heterogeneous architecture embracing edge and IoT units. This shift has created the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-28 Jämes Ménétrey , Marcelo Pasin , Pascal Felber , Valerio Schiavoni

Development, deployment and maintenance of networked software has been revolutionized by DevOps, which have become essential to boost system software quality and to enable agile evolution. Meanwhile the Internet of Things (IoT) connects…

Software Engineering · Computer Science 2021-11-04 Koen Zandberg , Emmanuel Baccelli

Virtualization technology allows currently any application run any application complex and expensive computational (the scientific applications are a good example) on heterogeneous distributed systems, which make regular use of Grid and…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-08-03 Tomas Ramirez Picarzo , Francisco Fernandez de Vega , Daniel Lombrana Gonzalez

Rapid growth of datacenter (DC) scale, urgency of cost control, increasing workload diversity, and huge software investment protection place unprecedented demands on the operating system (OS) efficiency, scalability, performance isolation,…

Operating Systems · Computer Science 2019-01-04 Chen Zheng , Lei Wang , Sally A. McKee , Lixin Zhang , Hainan Ye , Jianfeng Zhan

Virtual machine images and instances (VMs) in cloud computing centres are typically designed as isolation containers for applications, databases and networking functions. In order to build complex distributed applications, multiple virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-09-24 Josef Spillner , Andrii Chaichenko , Andrey Brito , Francisco Brasileiro , Alexander Schill

In monolithic operating systems, the kernel is the piece of code that executes with the highest privileges and has control over all the software running on a host. A successful attack against an operating system's kernel means a total and…

Operating Systems · Computer Science 2014-05-23 Francesco Gadaleta , Nick Nikiforakis , Yves Younan , Wouter Joosen

Hardware accelerators, such as those based on GPUs and FPGAs, offer an excellent opportunity to efficiently parallelize functionalities. Recently, modern embedded platforms started being equipped with such accelerators, resulting in a…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-16 Daniel Casini , Paolo Pazzaglia , Alessandro Biondi , Marco Di Natale

High-confidence computing relies on trusted instructional set architecture, sealed kernels, and secure operating systems. Cloud computing depends on trusted systems for virtualization tasks. Branch predictions and pipelines are essential in…

Cryptography and Security · Computer Science 2025-06-24 Shuangbao Paul Wang

Converged HPC-Cloud computing is an emerging computing paradigm that aims to support increasingly complex and multi-tenant scientific workflows. These systems require reconciliation of the isolation requirements of native cloud workloads…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-14 Philipp A. Friese , Ahmed Eleliemy , Utz-Uwe Haus , Martin Schulz

Multicore parallel programming has some very difficult problems such as deadlocks during synchronizations and race conditions brought by concurrency. Added to the difficulty is the lack of a simple, well-accepted computing model for…

Programming Languages · Computer Science 2010-12-09 Yibing Wang

The Accelerator Control System at Fermilab has evolved to enable this relatively large control system to be encapsulated into a "box" such as a laptop. The goal was to provide a platform isolated from the "online" control system. This…

Mixed-criticality systems, where multiple systems with varying criticality-levels share a single hardware platform, require isolation between tasks with different criticality-levels. Isolation can be achieved with software-based solutions…

Hardware Architecture · Computer Science 2022-09-01 Shibarchi Majumder , Jens F D Nielsen , Thomas Bak

Considering the diverse nature of real-world distributed applications that makes it hard to identify a representative subset of distributed benchmarks, we focus on their underlying distributed algorithms. We present and characterize a new…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-11 Suyash Gupta , V. Krishna Nandivada