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."