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Protected user-level libraries have been proposed as a way to allow mutually distrusting applications to safely share kernel-bypass services. In this paper, we identify and solve several previously unaddressed obstacles to realizing this…

Operating Systems · Computer Science 2025-09-04 Alan Beadle , Michael L. Scott , John Criswell

Range locks are a synchronization construct designed to provide concurrent access to multiple threads (or processes) to disjoint parts of a shared resource. Originally conceived in the file system context, range locks are gaining increasing…

Operating Systems · Computer Science 2020-06-23 Alex Kogan , Dave Dice , Shady Issa

Order picking is the single most cost-intensive activity in picker-to-parts warehouses, and as such has garnered large interest from the scientific community which led to multiple problem formulations and a plethora of algorithms published.…

Optimization and Control · Mathematics 2025-06-26 Giorgio Abelli , Maximilian Katzmann , Imran Khan , Olaf Maurer , Julius Pätzold , Paweł Pszona , Jan-David Salchow

The lock is a building-block synchronization primitive that enables mutually exclusive access to shared data in shared-memory parallel programs. Mutual exclusion is typically achieved by guarding the code that accesses the shared data with…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-25 Vivek Shahare , Milind Chabbi , Nikhil Hegde

Priority queues with parallel access are an attractive data structure for applications like prioritized online scheduling, discrete event simulation, or greedy algorithms. However, a classical priority queue constitutes a severe bottleneck…

Data Structures and Algorithms · Computer Science 2021-07-23 Marvin Williams , Peter Sanders , Roman Dementiev

The main goal of parallel processing is to provide users with performance that is much better than that of single processor systems. The execution of jobs is scheduled, which requires certain resources in order to meet certain criteria.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-07 Yang Cao , Fei Wu , Thomas Robertazzi

In BUNDLE: Real-Time Multi-Threaded Scheduling to Reduce Cache Contention, Tessler and Fisher propose a scheduling mechanism and combined worst-case execution time calculation method that treats the instruction cache as a beneficial…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-31 Corey Tessler , Nathan Fisher

Congestion control is vastly important in computer networks. Arising naturally from the bursty nature of Internet traffic, congestion plagues not only the network edge, but also the network core. Many remedies have been proposed to fight…

Networking and Internet Architecture · Computer Science 2020-07-06 Christen Ford

Emerging real-time applications have driven the transition to multicore embedded systems, where tasks must share resources due to functional demands and limited availability. These resources, whether local or global, are protected within…

Operating Systems · Computer Science 2025-12-29 Nan Chen , Xiaotian Dai , Tong Cheng , Alan Burns , Iain Bate , Shuai Zhao

Two-phase locking (2PL) is a fundamental and widely used concurrency control protocol. It regulates concurrent access to database data by following a specific sequence of acquiring and releasing locks during transaction execution, thereby…

Large-scale timers are ubiquitous in network processing, including flow table entry expiration control in software defined network (SDN) switches, MAC address aging in Ethernet bridges, and retransmission timeout management in TCP/IP…

Networking and Internet Architecture · Computer Science 2025-08-15 Zekun Wang , Binghao Yue , Weitao Pan , Jiangyi Shi , Yue Hao

The increasing use of cloud computing for latency-sensitive applications has sparked renewed interest in providing tight bounds on network tail latency. Achieving this in practice at reasonable network utilization has proved elusive, due to…

Networking and Internet Architecture · Computer Science 2021-03-04 Kevin Zhao , Prateesh Goyal , Mohammad Alizadeh , Thomas E. Anderson

Hosting diverse large language model workloads in a unified resource pool through co-location is cost-effective. For example, long-running chat services generally follow diurnal traffic patterns, which inspire co-location of batch jobs to…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-19 Ping Zhang , Lei Su , Jinjie Yang , Xin Chen

This paper presents a new and practical approach to lock-free locks based on helping, which allows the user to write code using fine-grained locks, but run it in a lock-free manner. Although lock-free locks have been suggested in the past,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-01 Naama Ben-David , Guy E. Blelloch , Yuanhao Wei

Federated Learning (FL) is a distributed machine learning approach that enables devices to collaboratively train models without sharing their local data, ensuring user privacy and scalability. However, applying FL to real-world data…

Machine Learning · Computer Science 2024-08-14 Jieming Bian , Lei Wang , Jie Xu

Network slicing has emerged as a key concept in 5G systems, allowing Mobile Network Operators (MNOs) to build isolated logical networks (slices) on top of shared infrastructure networks managed by Infrastructure Providers (InP). Network…

Networking and Internet Architecture · Computer Science 2022-03-18 Quang-Trung Luu , Sylvaine Kerboeuf , Michel Kieffer

Major chip manufacturers have all introduced Multithreaded processors. These processors are used for running a variety of workloads. Efficient resource utilization is an important design aspect in such processors. Particularly, it is…

Performance · Computer Science 2019-08-13 Murthy Durbhakula

Low-level embedded systems are used to control cyber-phyiscal systems in industrial and autonomous applications. They need to meet hard real-time requirements as unanticipated controller delays on moving machines can have devastating…

Networking and Internet Architecture · Computer Science 2022-01-04 Ilja Behnke , Philipp Wiesner , Robert Danicki , Lauritz Thamsen

One significant challenge in the job scheduling of computing clusters for the development of deep learning algorithms is the efficient scheduling of trial-and-error (TE) job, the type of job in which the users seek to conduct small-scale…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-06 Hidehito Yabuuchi , Daisuke Taniwaki , Shingo Omura

There are two intertwined factors that affect performance of concurrent data structures: the ability of processes to access the data in parallel and the cost of synchronization. It has been observed that for a large class of…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-10 Vitaly Aksenov , Petr Kuznetsov