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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."