content updates, various fixes

site/data/papers/FGCS-2025-digest.yaml

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+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."