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Extended Berkeley Packet Filter (eBPF) programs are kernel extensions used for networking, observability, and security enforcement in the Linux kernel. The in-kernel eBPF verifier checks low-level memory safety and termination on eBPF…

Cryptography and Security · Computer Science 2026-05-26 Vishnu Asutosh Dasu , Monika Santra , Md Rafi Ur Rashid , Ashish Kumar , Saeid Tizpaz-Niari , Gang Tan

As the volume of data that needs to be processed continues to increase, we also see renewed interests in near-data processing in the form of computational storage, with eBPF (extended Berkeley Packet Filter) being proposed as a vehicle for…

Hardware Architecture · Computer Science 2021-11-04 Wenjun Huang , Marcus Paradies

Process mining provides techniques to improve the performance and compliance of operational processes. Although sometimes the term "workflow mining" is used, the application in the context of Workflow Management (WFM) and Business Process…

Software Engineering · Computer Science 2020-09-15 Alessandro Berti , Wil van der Aalst , David Zang , Magdalena Lang

Real-time operating systems employ spatial and temporal isolation to guarantee predictability and schedulability of real-time systems on multi-core processors. Any unbounded and uncontrolled cross-core performance interference poses a…

Operating Systems · Computer Science 2024-12-25 Zhaomeng Deng , Ziqi Zhang , Ding Li , Yao Guo , Yunfeng Ye , Yuxin Ren , Ning Jia , Xinwei Hu

Coroutines are experiencing a renaissance as many modern programming languages support the use of cooperative multitasking for highly parallel or asynchronous applications. One of the greatest advantages of this is that concurrency and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-13 Simon König , Lukas Epple , Christian Becker

The aim of parallel computing is to increase an application performance by executing the application on multiple processors. OpenMP is an API that supports multi platform shared memory programming model and shared-memory programs are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-12 Vibha Rajput , Alok Katiyar

This article describes a method for creating applications for cluster computing systems using the parallel BSF skeleton based on the original BSF (Bulk Synchronous Farm) model of parallel computations developed by the author earlier. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-06 Leonid B. Sokolinsky

Pipeline parallelism is a key technique for scaling large-model training, but modern workloads exhibit runtime variability in computation and communication. Existing pipeline systems typically consume static, profiled, or adaptively…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-19 Ruitao Liu , Xinyang Tian , Shuo Chen , Tingrui Zhang , Guang Yang , Alan Zhao , Wei Xu

Linux is the foundation of the digital age, accounting for the majority of the cloud and mobile OS markets. Any device that runs Linux uses the Linux page cache, a central pillar in OS and application performance, serving to reduce…

Operating Systems · Computer Science 2026-05-27 Zejia Qi

We present a parallel profiling tool, GAPP, that identifies serialization bottlenecks in parallel Linux applications arising from load imbalance or contention for shared resources . It works by tracing kernel context switch events using…

Performance · Computer Science 2020-04-14 Reena Nair , Tony Field

Many cloud infrastructure organizations increasingly rely on third-party eBPF-based network functions for use cases like security, observability, and load balancing, so that not everyone requires a team of highly skilled eBPF experts.…

The bulk-synchronous parallel (BSP) model provides a framework for writing parallel programs with predictable performance. In this paper we extend the BSP model to support what we will call pseudo-streaming algorithms for accelerators. We…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-24 Jan-Willem Buurlage , Tom Bannink , Abe Wits

Serverless computing promises a scalable, reliable, and cost-effective solution for running data-intensive applications and workflows in the heterogeneous and limited-resource environment of the Edge-Cloud Continuum. However, building and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-02 Cynthia Marcelino , Stefan Nastic

The growing complexity of real-time embedded systems demands strong isolation of software components into separate protection domains to reduce attack surfaces and limit fault propagation. However, application-supplied device interrupt…

Cryptography and Security · Computer Science 2026-04-07 Hongbin Yang , Huanle Zhang , Runyu Pan

Working set size estimation (WSS) is of great significance to improve the efficiency of program executing and memory arrangement in modern operating systems. Previous work proposed several methods to estimate WSS, including self-balloning,…

Performance · Computer Science 2023-03-13 Zhilu Lian , Yangzi Li , Zhixiang Chen , Shiwen Shan , Baoxin Han , Yuxin Su

As we have entered Exascale computing, the faults in high-performance systems are expected to increase considerably. To compensate for a higher failure rate, the standard checkpoint/restart technique would need to create checkpoints at a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-26 Sarthak Joshi , Sathish Vadhiyar

We present a novel task scheduling scheme for accelerating computational applications involving distributed iterative processes that are executed on networked computing resources. Such an application consists of multiple tasks, each of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-30 Mehrdad Kiamari , Bhaskar Krishnamachari

Skiplists are widely used for in-memory indexing in many key-value stores, such as RocksDB and LevelDB, due to their ease of implementation and simple concurrency control mechanisms. However, traditional skiplists suffer from poor cache…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-18 Yicong Luo , Senhe Hao , Brian Wheatman , Prashant Pandey , Helen Xu

This paper presents BDDT-SCC, a task-parallel runtime system for non cache-coherent multicore processors, implemented for the Intel Single-Chip Cloud Computer. The BDDT-SCC runtime includes a dynamic dependence analysis and automatic…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-15 Alexandros Labrineas , Polyvios Pratikakis , Dimitrios S. Nikolopoulos , Angelos Bilas

Multicore CPU architectures have been established as a structure for general-purpose systems for high-performance processing of applications. Recent multicore CPU has evolved as a system architecture based on non-uniform memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-26 Geunsik Lim , Sang-Bum Suh