venue: FGCS year: 2025 selected: - title: Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing authors: - Franck Cappello - Mario C. Acosta - Emmanuel Agullo - Hartwig Anzt - Jon Calhoun 0001 - Sheng Di - Luc Giraud - Thomas Grützmacher - Sian Jin - Kentaro Sano - Kento Sato - Amarjit Singh - Dingwen Tao - Jiannan Tian - Tomohiro Ueno - Robert Underwood - Frédéric Vivien - Xavier Yepes - Kazutomo Yoshii - Boyuan Zhang 0002 tldr: "A joint JLESC survey covering error-bounded lossy compressors (SZ, ZFP, MGARD) across simulation, AI, and in-situ analytics use cases, with benchmarks on real scientific datasets at extreme scale." why_notable: "The most comprehensive cross-site evaluation of scientific data compression to date, providing actionable guidance on compressor selection for different numerical kernels and accuracy requirements." - title: Efficient distributed continual learning for steering experiments in real-time authors: - Thomas Bouvier - Bogdan Nicolae - Alexandru Costan - Tekin Bicer - Ian T. Foster - Gabriel Antoniu tldr: "Proposes a distributed continual learning architecture that keeps deep learning models synchronized with a running scientific experiment by streaming lightweight updates across edge detectors and HPC backends." why_notable: "One of the first systems to close the loop between experimental data streams and model adaptation in real-time without full retraining, validated on synchrotron detector workloads." - title: 'SmartKV: A cost-effective and low-latency geo-distributed key-value store for the computing continuum' authors: - Juan Aznar-Poveda - Maximilian Franz Ebner - Thomas Fahringer - Zahra Najafabadi Samani - Marlon Etheredge - Stefan Pedratscher - Nishant Saurabh tldr: "Introduces SmartKV, a geo-distributed key-value store that uses latency-aware replication policies to deliver consistent low-latency reads across edge, fog, and cloud tiers of the computing continuum." why_notable: "Provides a concrete, benchmarked storage primitive for the computing continuum that fills the gap between single-datacenter stores and high-latency cloud object storage." - title: Scalable compute continuum authors: - Valeria Cardellini - Patrizio Dazzi - Gabriele Mencagli - Matteo Nardelli 0001 - Massimo Torquati tldr: "Defines a programming and deployment model for the compute continuum that abstracts resource heterogeneity from edge to cloud, enabling applications to scale dynamically across tiers." why_notable: "Provides a principled architectural reference for the continuum that can guide system designers building next-generation distributed runtime environments." - title: A comparative study of ad-hoc file systems for extreme scale computing authors: - Njoud O. Almaaitah - Francisco Javier García Blas - Genaro Sanchez-Gallegos - Jesús Carretero 0001 - Marc-André Vef - André Brinkmann tldr: "Benchmarks GekkoFS, BeeGFS, and similar ad-hoc file systems under diverse HPC I/O patterns, characterizing their throughput, metadata performance, and suitability for burst-buffer scenarios." why_notable: "The most systematic evaluation of ad-hoc parallel file systems available, giving HPC centers clear data to choose or configure temporary storage for large scientific workflows." - title: Advancing anomaly detection in computational workflows with active learning authors: - Krishnan Raghavan - George Papadimitriou 0002 - Hongwei Jin - Anirban Mandal - Mariam Kiran - Prasanna Balaprakash - Ewa Deelman tldr: "Applies active learning to reduce the labeling burden for workflow anomaly detection, selectively querying an oracle for the most informative execution traces within a Pegasus workflow framework." why_notable: "Demonstrates that active learning can make anomaly detection practical in real scientific workflows where labeled failure data is scarce, with experiments on production workloads." - title: 'MITgcm-AD v2: Open source tangent linear and adjoint modeling framework for the oceans and atmosphere enabled by the Automatic Differentiation tool Tapenade' authors: - Shreyas Sunil Gaikwad - Sri Hari Krishna Narayanan - Laurent Hascoët - Jean-Michel Campin - Helen Pillar - An Nguyen - Jan Hückelheim - Paul D. Hovland - Patrick Heimbach tldr: "Describes MITgcm-AD v2, a production-quality adjoint of the MITgcm ocean-atmosphere model generated with Tapenade, enabling global sensitivity analyses and data assimilation at scale." why_notable: "A landmark in scientific computing software sustainability: a fully open, differentiable climate model that enables gradient-based inversion for ocean state estimation." - title: 'zCeph: Design and implementation of a ZNS-friendly distributed file system' authors: - Jinyong Ha 0001 - Yongseok Son tldr: "Redesigns the Ceph distributed file system to exploit Zoned Namespace SSDs natively, eliminating write amplification and improving throughput by aligning file system semantics with ZNS zone constraints." why_notable: "Demonstrates how next-generation storage hardware (ZNS SSDs) demands rethinking distributed storage stack designs, with significant performance gains on real hardware." - title: 'RADiCe: A Risk Analysis Framework for Data Centers' authors: - Fabian Mastenbroek - Tiziano De Matteis - Vincent van Beek - Alexandru Iosup tldr: "Provides a quantitative risk analysis framework for data centers that models cascading failures across power, cooling, and compute subsystems using simulation to estimate availability and cost trade-offs." why_notable: "Fills a practical gap for data center operators who need principled tools to evaluate infrastructure resilience beyond simple redundancy rules." - title: Deadline-constrained security-aware workflow scheduling in hybrid cloud architecture authors: - Somayeh Abdi - Mohammad Ashjaei - Saad Mubeen tldr: "Formulates workflow scheduling in hybrid clouds as a multi-objective problem that jointly minimizes cost and execution time while meeting both deadline and data-security placement constraints." why_notable: "One of the few scheduling works that treats security classification of tasks as a first-class constraint alongside performance, with practical validation on scientific workflow benchmarks." - title: 'Regen: An object layout regenerator on large-scale production HPC systems' authors: - Dong Kyu Sung - Sunggon Kim - Sangjin Lee 0003 - Houjun Tang - Alex Sim - Kesheng Wu - Suren Byna - Yongseok Son tldr: "Regen transparently reorganizes the on-disk layout of HDF5 and NetCDF objects in parallel file systems to match actual access patterns, improving I/O performance without application changes." why_notable: "Deployed and validated on a production HPC system, showing significant I/O speedups for real scientific datasets, making it immediately relevant to storage administrators." - title: Formal definition and implementation of reproducibility tenets for computational workflows authors: - Nicholas J. Pritchard - Andreas Wicenec tldr: "Formalizes a set of reproducibility requirements for scientific workflows and implements a verification layer within the DALIUGE workflow engine that checks compliance at design and execution time." why_notable: "Provides the community with a concrete, tool-supported definition of workflow reproducibility, moving beyond aspirational guidelines to enforceable runtime checks."