Vincent Lannurien
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262 lines
10 KiB
YAML
262 lines
10 KiB
YAML
venue: FGCS
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year: 2024
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selected:
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- title: "Quantum-centric supercomputing for materials science: A perspective on challenges
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and future directions"
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authors:
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- Yuri Alexeev
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- Maximilian Amsler
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- Marco Antonio Barroca
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- Sanzio Bassini
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- Torey Battelle
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- Daan Camps
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- David Casanova
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- Young Jay Choi
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- Frederic T. Chong
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- Charles Chung
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- Christopher Codella
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- Antonio D. Córcoles
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- James Cruise
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- Alberto Di Meglio
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- Ivan Duran
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- Thomas Eckl
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- Sophia E. Economou
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- Stephan J. Eidenbenz
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- Bruce Elmegreen
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- Clyde Fare
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- Ismael Faro
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- Cristina Sanz Fernández
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- Rodrigo Neumann Barros Ferreira
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- Keisuke Fuji
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- Bryce Fuller
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- Laura Gagliardi
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- Giulia Galli
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- Jennifer R. Glick
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- Isacco Gobbi
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- Pranav Gokhale
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- Salvador de la Puente Gonzalez
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- Johannes Greiner
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- Bill Gropp
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- Michele Grossi
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- Emanuel Gull
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- Burns Healy
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- Matthew R. Hermes
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- Benchen Huang
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- Travis S. Humble
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- Nobuyasu Ito
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- Artur F. Izmaylov
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- Ali Javadi-Abhari
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- Douglas M. Jennewein
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- Shantenu Jha
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- Liang Jiang
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- Barbara Jones
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- Wibe Albert de Jong
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- Petar Jurcevic
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- William M. Kirby
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- Stefan Kister
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- Masahiro Kitagawa
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- Joel Klassen
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- Katherine Klymko
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- Kwangwon Koh
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- Masaaki Kondo
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- Doga Murat Kürkçüoglu
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- Krzysztof Kurowski
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- Teodoro Laino
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- Ryan Landfield
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- Matthew L. Leininger
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- Vicente Leyton-Ortega
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- Ang Li 0006
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- Meifeng Lin
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- Junyu Liu
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- Nicolás Lorente
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- André Luckow
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- Simon Martiel
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- Francisco Martín-Fernández
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- Margaret Martonosi
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- Claire Marvinney
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- Arcesio Castañeda Medina
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- Dirk Merten
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- Antonio Mezzacapo
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- Kristel Michielsen
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- Abhishek Mitra
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- Tushar Mittal
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- Kyungsun Moon
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- Joel Moore
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- Sarah Mostame
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- Mario Motta
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- Young-Hye Na
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- Yunseong Nam
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- Prineha Narang
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- Yu-ya Ohnishi
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- Daniele Ottaviani
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- Matthew Otten
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- Scott Pakin
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- Vincent R. Pascuzzi
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- Edwin Pednault
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- Tomasz Piontek
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- Jed Pitera
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- Patrick Rall
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- Gokul Subramanian Ravi
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- Niall Robertson
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- Matteo A. C. Rossi
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- Piotr Rydlichowski
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- Hoon Ryu
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- Georgy Samsonidze
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- Mitsuhisa Sato
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- Nishant Saurabh
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- Vidushi Sharma
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- Kunal Sharma
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- Soyoung Shin
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- George Slessman
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- Mathias Steiner
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- Iskandar Sitdikov
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- In-Saeng Suh
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- Eric D. Switzer
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- Wei Tang
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- Joel Thompson
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- Synge Todo
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- Minh C. Tran
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- Dimitar Trenev
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- Christian Trott
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- Huan-Hsin Tseng
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- Norm M. Tubman
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- Esin Tureci
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- David García Valiñas
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- Sofia Vallecorsa
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- Christopher Wever
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- Konrad Wojciechowski
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- Xiaodi Wu 0001
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- Shinjae Yoo
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- Nobuyuki Yoshioka
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- Victor Wen-zhe Yu
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- Seiji Yunoki
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- Sergiy Zhuk
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- Dmitry Zubarev
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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."
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why_notable: "Essential reading for any researcher planning quantum-classical hybrid workflows, covering the full stack from error mitigation to application mapping at scale."
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- title: Integrating quantum computing resources into scientific HPC ecosystems
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authors:
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- Thomas L. Beck
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- Alessandro Baroni 0003
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- Ryan S. Bennink
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- Gilles Buchs
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- Eduardo Antonio Coello Pérez
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- Markus Eisenbach 0002
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- Rafael Ferreira da Silva
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- Muralikrishnan Gopalakrishnan Meena
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- Kalyana C. Gottiparthi
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- Peter Groszkowski
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- Travis S. Humble
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- Ryan Landfield
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- Ketan Maheshwari
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- Sarp Oral
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- Michael A. Sandoval
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- Amir Shehata
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- In-Saeng Suh
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- Christopher Zimmer 0001
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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."
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why_notable: "One of the first concrete descriptions of a production-scale quantum-HPC integration, providing a template other facilities can follow."
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- title: 'Lotaru: Locally predicting workflow task runtimes for resource management
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on heterogeneous infrastructures'
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authors:
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- Jonathan Bader
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- Fabian Lehmann
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- Lauritz Thamsen
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- Ulf Leser
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- Odej Kao
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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."
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why_notable: "Addresses a core bottleneck in scientific workflow scheduling with a practical, evaluated approach that works without historical traces."
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- title: 'The globus compute dataset: An open function-as-a-service dataset from the
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edge to the cloud'
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authors:
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- André Bauer 0001
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- Haochen Pan
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- Ryan Chard
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- Yadu N. Babuji
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- Josh Bryan
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- Devesh Tiwari
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- Ian T. Foster
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- Kyle Chard
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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."
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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."
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- title: "A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?"
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authors:
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- Leonardo Bautista-Gomez
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- Anne Benoit
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- Sheng Di
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- Thomas Hérault
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- Yves Robert
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- Hongyang Sun 0001
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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."
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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."
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- title: Scalable I/O aggregation for asynchronous multi-level checkpointing
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authors:
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- Mikaila J. Gossman
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- Bogdan Nicolae
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- Jon C. Calhoun
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tldr: "Proposes an aggregation layer that pipelines writes across multiple memory and storage tiers asynchronously, reducing checkpoint overhead for large-scale MPI applications."
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why_notable: "Delivers measurable improvements in checkpoint throughput on realistic HPC applications, directly addressing the I/O bottleneck at exascale."
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- title: 'StructMesh: A storage framework for serverless computing continuum'
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authors:
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- Diana Carrizales-Espinoza
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- Dante D. Sánchez-Gallegos
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- José Luis González Compeán
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- Jesús Carretero 0001
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tldr: "Introduces a hierarchical storage abstraction that unifies data management across edge, fog, and cloud tiers for serverless workflows, supporting structured data access patterns."
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why_notable: "Offers a practical, evaluated solution to the data management gap in cloud-edge serverless architectures, relevant to scientific and industrial workflow deployment."
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- title: Paving the way to hybrid quantum-classical scientific workflows
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authors:
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- Sandeep Suresh Cranganore
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- Vincenzo De Maio
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- Ivona Brandic
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- Ewa Deelman
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tldr: "Defines a taxonomy and reference architecture for hybrid quantum-classical workflows, mapping quantum circuit execution onto existing scientific workflow management system abstractions."
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why_notable: "Provides the conceptual foundations needed to extend tools like Pegasus or Swift to orchestrate quantum subroutines within larger scientific pipelines."
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- title: Online learning and continuous model upgrading with data streams through
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the Kafka-ML framework
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authors:
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- Alejandro Carnero
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- Cristian Martín 0002
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- Gwanggil Jeon
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- Manuel Díaz
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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."
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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."
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- title: 'GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems'
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authors:
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- Martin Molan
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- Mohsen Seyedkazemi Ardebili
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- Junaid Ahmed Khan
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- Francesco Beneventi
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- Daniele Cesarini
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- Andrea Borghesi
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- Andrea Bartolini
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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."
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why_notable: "Shows that temporal graph models over system topology substantially outperform per-node anomaly detection, with validation on a real pre-exascale machine."
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- title: 'QFaaS: A Serverless Function-as-a-Service framework for Quantum computing'
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authors:
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- Hoa T. Nguyen
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- Muhammad Usman 0009
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- Rajkumar Buyya
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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."
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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."
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- title: 'Enabling federated learning across the computing continuum: Systems, challenges
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and future directions'
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authors:
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- Cèdric Prigent
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- Alexandru Costan
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- Gabriel Antoniu
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- Loïc Cudennec
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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."
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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."
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