multi-topic, publish from gh-pages branch

site/data/cloud-edge/papers/FGCS-2024-digest.yaml

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+venue: FGCS
+year: 2024
+selected:
+  - title: "Quantum-centric supercomputing for materials science: A perspective on challenges
+      and future directions"
+    authors:
+    - Yuri Alexeev
+    - Maximilian Amsler
+    - Marco Antonio Barroca
+    - Sanzio Bassini
+    - Torey Battelle
+    - Daan Camps
+    - David Casanova
+    - Young Jay Choi
+    - Frederic T. Chong
+    - Charles Chung
+    - Christopher Codella
+    - Antonio D. Córcoles
+    - James Cruise
+    - Alberto Di Meglio
+    - Ivan Duran
+    - Thomas Eckl
+    - Sophia E. Economou
+    - Stephan J. Eidenbenz
+    - Bruce Elmegreen
+    - Clyde Fare
+    - Ismael Faro
+    - Cristina Sanz Fernández
+    - Rodrigo Neumann Barros Ferreira
+    - Keisuke Fuji
+    - Bryce Fuller
+    - Laura Gagliardi
+    - Giulia Galli
+    - Jennifer R. Glick
+    - Isacco Gobbi
+    - Pranav Gokhale
+    - Salvador de la Puente Gonzalez
+    - Johannes Greiner
+    - Bill Gropp
+    - Michele Grossi
+    - Emanuel Gull
+    - Burns Healy
+    - Matthew R. Hermes
+    - Benchen Huang
+    - Travis S. Humble
+    - Nobuyasu Ito
+    - Artur F. Izmaylov
+    - Ali Javadi-Abhari
+    - Douglas M. Jennewein
+    - Shantenu Jha
+    - Liang Jiang
+    - Barbara Jones
+    - Wibe Albert de Jong
+    - Petar Jurcevic
+    - William M. Kirby
+    - Stefan Kister
+    - Masahiro Kitagawa
+    - Joel Klassen
+    - Katherine Klymko
+    - Kwangwon Koh
+    - Masaaki Kondo
+    - Doga Murat Kürkçüoglu
+    - Krzysztof Kurowski
+    - Teodoro Laino
+    - Ryan Landfield
+    - Matthew L. Leininger
+    - Vicente Leyton-Ortega
+    - Ang Li 0006
+    - Meifeng Lin
+    - Junyu Liu
+    - Nicolás Lorente
+    - André Luckow
+    - Simon Martiel
+    - Francisco Martín-Fernández
+    - Margaret Martonosi
+    - Claire Marvinney
+    - Arcesio Castañeda Medina
+    - Dirk Merten
+    - Antonio Mezzacapo
+    - Kristel Michielsen
+    - Abhishek Mitra
+    - Tushar Mittal
+    - Kyungsun Moon
+    - Joel Moore
+    - Sarah Mostame
+    - Mario Motta
+    - Young-Hye Na
+    - Yunseong Nam
+    - Prineha Narang
+    - Yu-ya Ohnishi
+    - Daniele Ottaviani
+    - Matthew Otten
+    - Scott Pakin
+    - Vincent R. Pascuzzi
+    - Edwin Pednault
+    - Tomasz Piontek
+    - Jed Pitera
+    - Patrick Rall
+    - Gokul Subramanian Ravi
+    - Niall Robertson
+    - Matteo A. C. Rossi
+    - Piotr Rydlichowski
+    - Hoon Ryu
+    - Georgy Samsonidze
+    - Mitsuhisa Sato
+    - Nishant Saurabh
+    - Vidushi Sharma
+    - Kunal Sharma
+    - Soyoung Shin
+    - George Slessman
+    - Mathias Steiner
+    - Iskandar Sitdikov
+    - In-Saeng Suh
+    - Eric D. Switzer
+    - Wei Tang
+    - Joel Thompson
+    - Synge Todo
+    - Minh C. Tran
+    - Dimitar Trenev
+    - Christian Trott
+    - Huan-Hsin Tseng
+    - Norm M. Tubman
+    - Esin Tureci
+    - David García Valiñas
+    - Sofia Vallecorsa
+    - Christopher Wever
+    - Konrad Wojciechowski
+    - Xiaodi Wu 0001
+    - Shinjae Yoo
+    - Nobuyuki Yoshioka
+    - Victor Wen-zhe Yu
+    - Seiji Yunoki
+    - Sergiy Zhuk
+    - Dmitry Zubarev
+    tldr: "A comprehensive roadmap from IBM, national labs, and universities identifying key algorithmic, software, and hardware challenges for using quantum processors alongside classical HPC to advance materials science simulations."
+    why_notable: "Essential reading for any researcher planning quantum-classical hybrid workflows, covering the full stack from error mitigation to application mapping at scale."
+
+  - title: Integrating quantum computing resources into scientific HPC ecosystems
+    authors:
+    - Thomas L. Beck
+    - Alessandro Baroni 0003
+    - Ryan S. Bennink
+    - Gilles Buchs
+    - Eduardo Antonio Coello Pérez
+    - Markus Eisenbach 0002
+    - Rafael Ferreira da Silva
+    - Muralikrishnan Gopalakrishnan Meena
+    - Kalyana C. Gottiparthi
+    - Peter Groszkowski
+    - Travis S. Humble
+    - Ryan Landfield
+    - Ketan Maheshwari
+    - Sarp Oral
+    - Michael A. Sandoval
+    - Amir Shehata
+    - In-Saeng Suh
+    - Christopher Zimmer 0001
+    tldr: "Describes the architecture and middleware decisions made at Oak Ridge National Laboratory to expose quantum devices as first-class resources within an existing HPC facility."
+    why_notable: "One of the first concrete descriptions of a production-scale quantum-HPC integration, providing a template other facilities can follow."
+
+  - title: 'Lotaru: Locally predicting workflow task runtimes for resource management
+      on heterogeneous infrastructures'
+    authors:
+    - Jonathan Bader
+    - Fabian Lehmann
+    - Lauritz Thamsen
+    - Ulf Leser
+    - Odej Kao
+    tldr: "Lotaru learns lightweight per-workflow runtime prediction models locally on each node using micro-benchmarks, eliminating the need for a centralized profiling service on heterogeneous clusters."
+    why_notable: "Addresses a core bottleneck in scientific workflow scheduling with a practical, evaluated approach that works without historical traces."
+
+  - title: 'The globus compute dataset: An open function-as-a-service dataset from the
+      edge to the cloud'
+    authors:
+    - André Bauer 0001
+    - Haochen Pan
+    - Ryan Chard
+    - Yadu N. Babuji
+    - Josh Bryan
+    - Devesh Tiwari
+    - Ian T. Foster
+    - Kyle Chard
+    tldr: "Releases a large real-world dataset of function invocations across edge, campus, and cloud resources collected from the Globus Compute FaaS platform, along with workload analysis."
+    why_notable: "Provides the community with a rare, richly annotated dataset for benchmarking distributed FaaS schedulers and studying edge-to-cloud task patterns at scale."
+
+  - title: "A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?"
+    authors:
+    - Leonardo Bautista-Gomez
+    - Anne Benoit
+    - Sheng Di
+    - Thomas Hérault
+    - Yves Robert
+    - Hongyang Sun 0001
+    tldr: "Surveys decades of checkpointing research and rigorously examines when the classic Young/Daly formula is optimal versus when multi-level, coordinated, or application-aware strategies outperform it."
+    why_notable: "A definitive reference for HPC fault tolerance that unifies scattered results and provides clear guidance on choosing a checkpointing strategy for modern exascale workloads."
+
+  - title: Scalable I/O aggregation for asynchronous multi-level checkpointing
+    authors:
+    - Mikaila J. Gossman
+    - Bogdan Nicolae
+    - Jon C. Calhoun
+    tldr: "Proposes an aggregation layer that pipelines writes across multiple memory and storage tiers asynchronously, reducing checkpoint overhead for large-scale MPI applications."
+    why_notable: "Delivers measurable improvements in checkpoint throughput on realistic HPC applications, directly addressing the I/O bottleneck at exascale."
+
+  - title: 'StructMesh: A storage framework for serverless computing continuum'
+    authors:
+    - Diana Carrizales-Espinoza
+    - Dante D. Sánchez-Gallegos
+    - José Luis González Compeán
+    - Jesús Carretero 0001
+    tldr: "Introduces a hierarchical storage abstraction that unifies data management across edge, fog, and cloud tiers for serverless workflows, supporting structured data access patterns."
+    why_notable: "Offers a practical, evaluated solution to the data management gap in cloud-edge serverless architectures, relevant to scientific and industrial workflow deployment."
+
+  - title: Paving the way to hybrid quantum-classical scientific workflows
+    authors:
+    - Sandeep Suresh Cranganore
+    - Vincenzo De Maio
+    - Ivona Brandic
+    - Ewa Deelman
+    tldr: "Defines a taxonomy and reference architecture for hybrid quantum-classical workflows, mapping quantum circuit execution onto existing scientific workflow management system abstractions."
+    why_notable: "Provides the conceptual foundations needed to extend tools like Pegasus or Swift to orchestrate quantum subroutines within larger scientific pipelines."
+
+  - title: Online learning and continuous model upgrading with data streams through
+      the Kafka-ML framework
+    authors:
+    - Alejandro Carnero
+    - Cristian Martín 0002
+    - Gwanggil Jeon
+    - Manuel Díaz
+    tldr: "Extends Kafka-ML to support incremental online learning directly from streaming data topics, enabling continuous model updates without retraining from scratch in edge-cloud deployments."
+    why_notable: "Demonstrates a full open-source framework that bridges stream processing and ML model lifecycle management, with relevance to IoT and real-time analytics pipelines."
+
+  - title: 'GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems'
+    authors:
+    - Martin Molan
+    - Mohsen Seyedkazemi Ardebili
+    - Junaid Ahmed Khan
+    - Francesco Beneventi
+    - Daniele Cesarini
+    - Andrea Borghesi
+    - Andrea Bartolini
+    tldr: "Uses graph neural networks trained on node telemetry to predict imminent failures in exascale HPC clusters before they occur, enabling proactive maintenance and job migration."
+    why_notable: "Shows that temporal graph models over system topology substantially outperform per-node anomaly detection, with validation on a real pre-exascale machine."
+
+  - title: 'QFaaS: A Serverless Function-as-a-Service framework for Quantum computing'
+    authors:
+    - Hoa T. Nguyen
+    - Muhammad Usman 0009
+    - Rajkumar Buyya
+    tldr: "Proposes QFaaS, a broker-based FaaS platform that abstracts heterogeneous quantum hardware providers behind a unified serverless interface with automatic circuit compilation and resource selection."
+    why_notable: "Addresses the pressing need for a cloud-agnostic quantum execution layer, laying groundwork for portable quantum applications across IBM, IonQ, and similar backends."
+
+  - title: 'Enabling federated learning across the computing continuum: Systems, challenges
+      and future directions'
+    authors:
+    - Cèdric Prigent
+    - Alexandru Costan
+    - Gabriel Antoniu
+    - Loïc Cudennec
+    tldr: "Systematically surveys the technical barriers to training federated learning models that span IoT devices, edge servers, and cloud data centers, and proposes a reference architecture addressing heterogeneity and mobility."
+    why_notable: "A timely synthesis that clarifies open problems at the intersection of federated learning and the compute continuum, useful as a roadmap for system builders."