cs.DC · 2026-10-02 · No. 131

Distributed, Parallel, and Cluster Computing, 2026-10-02.

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

01 — The papers

4 entries
  1. 01

    MoE-CORE: Coordinated Expert Offloading and Residency for Memory-Constrained MoE Inference

    Ke Yang, Yongji Gao, Xushi Li, Kui Luo, Sicheng Zhang, Tianming Zhou, Keyi Liu, Shufang Lu, Aoxuan Chen, Jie Meng,...

    cs.DC

    Sparse expert activation reduces MoE models' computation, yet expert weights can exceed limited device memory. Offloading makes inference feasible on a compact AI appliance but exposes host-to-device transfers to the inference path. We present MoE-CORE, a system that coordinates expert offloading and residency for memory-constrained MoE inference. It stages complete expert layers in alternating buffers during prefill. During decode, it...

    arxiv.org/abs/2610.01950 · PDF

  2. 02

    ePACT: Energy-Performance-Aware Commitment Tracking for LLM Serving

    You Peng, Youhe Jiang, Chen Wang, Binhang Yuan

    cs.DC

    Reducing LLM serving energy does not by itself guarantee lower deployment cost when electricity procurement exposes operators to unfavorable deviations from preset commitments. We study hourly commitments with positive, potentially asymmetric costs for overuse and underuse, and formulate energy-Performance-Aware Commitment Tracking: minimize deviation costs subject to request-level service requirements. We implement ePACT, a two-level...

    arxiv.org/abs/2610.01784 · PDF

  3. 03

    Towards a Cloud Fog Edge System for Smart Building

    Christophe Cérin, Mamadou Sow, Frédéric Andrès

    cs.DC · cs.LG

    In this article, we present our vision and recent advancements toward creating a decentralized system capable of learning from real-time data within buildings to support sustainable and privacy-preserving smart environments. Our approach promotes the concept of the building itself as the data center, aligning with the principles of edge computing to safeguard confidentiality and reduce reliance on external cloud infrastructure. This is...

    arxiv.org/abs/2610.01647 · PDF

  4. 04

    Exploiting the Interplay of Compute- and Memory-Bound kernels in MPI Applications

    Ayesha Afzal, Krishna Manda, Georg Hager

    cs.DC · cs.PF

    Parallel applications are often designed for synchronous, lock-step execution, treating communication stalls as performance hazards. Yet, in a communication-light application without frequent synchronization points that alternates between compute-bound memory-bound execution, an MPI communication stall can act as an unintentional relief on memory-bandwidth contention. We demonstrate this using a Parallel Optical Flow Solver, which combines a...

    arxiv.org/abs/2610.01587 · PDF

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