cs.DC · 2026-05-30 · No. 12

Distributed, Parallel, and Cluster Computing, 2026-05-30.

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

01 — The papers

2 entries
  1. 01

    RAFI -- A Ray/Work Forwarding Infrastructure for Data Parallel Multi-Node/Multi-GPU Computing

    Ingo Wald, Serkan Demirci, Alper Sahistan, Stefan Zellmann, Andrea Paris, Patrick Moran, Milan Jaros, Tatiana von...

    cs.DC · cs.GR

    We present RaFI, a CUDA and MPI based software framework that simplifies the task of building GPU-enabled data-parallel software where rays or similar work items need to migrate between different GPUs. RaFI provides a simple interface for CUDA kernels to forward such work items to other GPUs, while under the hood managing all the CUDA and MPI related work required to make this happen. We describe RaFI's motivation and implementation, and show...

    arxiv.org/abs/2605.30294 · PDF

  2. 02

    Effective MPI: User-defined Datatypes and Cartesian Communicators for Zero-copy All-to-all Communication in Multidimensional Tori

    Jesper Larsson Träff

    cs.DC

    We present and show how to implement a non-trivial all-to-all communication algorithm for arbitrary $d$-dimensional tori effectively in MPI. Given a factorization of the number of processes $p$ into $d$ factors that can be mapped onto a $d$-dimensional torus, we first utilize a Cartesian communicator to split a given $p$-process MPI communicator into, for each MPI process, $d$ smaller communicators spanning each of the dimensions of the torus...

    arxiv.org/abs/2605.29970 · PDF

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