cs.DC · 2026-07-01 · No. 40

Distributed, Parallel, and Cluster Computing, 2026-07-01.

5 new papers in cs.DC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

5 entries
  1. 01

    Decoupling Trust in Byzantine CRDTs: Fine-grained Post-Compromise Handling without Breaking Causality

    Amos Brocco

    cs.DC · cs.DS

    Conflict-free Replicated Data Types (CRDTs) provide strong eventual consistency without coordination, but classical approaches assume benign participants. In Byzantine settings, convergence is typically enforced through agreement on update validity, often relying on identity-based filtering. However, such approaches struggle in post-compromise scenarios, where a previously correct participant becomes malicious: retroactive exclusion of its...

    arxiv.org/abs/2606.31759 · PDF

  2. 02

    LASER: Load-Aware Serving with Early-Exit for Reasoning LLMs at the Edge

    Zhiqing Tang, Size Li, Hanshuai Cui, Zilan Huang, Jianxiong Guo, Tian Wang, Yuan Wu, Weijia Jia

    cs.DC

    Large reasoning models (LRMs) such as DeepSeek-R1 have achieved strong performance through extended chain-of-thought (CoT) generation. However, deploying them on edge devices raises a conflict between long CoT sequences and constrained resources. Recent confidence-based early exit methods reduce CoT length for individual requests, yet they apply fixed thresholds from a single-request perspective, ignoring multi-request concurrency and load...

    arxiv.org/abs/2606.31580 · PDF

  3. 03

    Performance Analysis in Parallel Programming Education: A Comparative Usability Study

    Anna-Lena Roth, David James, Jonas Posner, Michael Kuhn

    cs.DC

    Parallel programming curricula encompass not only the development of parallel code and algorithm design but also emphasize efficiency, optimization, and performance analysis. To equip students with the skills necessary for writing efficient parallel code using message passing with MPI, practical experience on HPC environments is essential. Performance analysis tools assist in identifying issues such as load imbalances or bottlenecks. Despite...

    arxiv.org/abs/2606.31458 · PDF

  4. 04

    An Empirical Analysis of High-Performance Computing Education in Germany

    Anna-Lena Roth, Jonas Posner

    cs.DC

    The growing importance of High-Performance Computing (HPC) requires the systematic integration of parallel programming and performance-oriented competencies into computational science curricula. Effective HPC education combines theoretical foundations with practical experience on real cluster infrastructures, enabling students to understand scalability, efficiency, and architectural differences between shared and distributed memory systems....

    arxiv.org/abs/2606.31300 · PDF

  5. 05

    AC$^2$P$^2$SL: Adaptive Communication-Computation Pipeline Parallel Split Learning over Edge Networks

    Chenyu Liu, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Chunhui Feng, Tony Q. S. Quek

    cs.DC · cs.NI

    In wireless edge networks, split learning (SL) enables base station (BS) to utilize the distributed data and computing power across user equipments (UEs) to achieve collaborative model training while protecting local data privacy. However, the inherent sequential execution of computation and communication processes in conventional SL usually leads to long training times. To overcome this limitation, this paper proposes an adaptive...

    arxiv.org/abs/2606.31276 · PDF

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