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Converged Computing: A Best of Both Worlds of High-Performance Computing and Cloud

Journal Article · · Computing in Science and Engineering
 [1];  [1];  [2];  [3];  [4];  [5]
  1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
  2. IBM T.J. Watson Research Center, Yorktown Heights, NY (United States)
  3. Bretagne Atlantique Research Centre (INRIA), Rennes (France)
  4. Amazon Web Services, Seattle, WA (United States)
  5. Google, Inc., Mountain View, CA (United States)
+ Show Author Affiliations
Collaboration between Cloud and High Performance Computing (HPC) communities has accelerated in the last half decade. A common goal to run batch workloads combined with a desire for reproducibility, automation, and optimization has led to successful projects that range from container technologies to workload management and security. This span of current and future work defines a novel “Converged Computing” paradigm that aims to combine the best of both worlds, both from a technological and cultural standpoint. Furthermore, in this Special Issue, we review common themes in the space, showcasing current work and encouraging a continued effort toward innovative ideas that will enable the next generations of scientific discovery.
Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
2484230
Report Number(s):
LLNL--JRNL-871107; 1108644
Journal Information:
Computing in Science and Engineering, Journal Name: Computing in Science and Engineering Journal Issue: 3 Vol. 26; ISSN 1521-9615
Publisher:
IEEE Computer SocietyCopyright Statement
Country of Publication:
United States
Language:
English

References (4)

GROMACS in the Cloud: A Global Supercomputer to Speed Up Alchemical Drug Design journal March 2022
eBPF: A New Approach to Cloud-Native Observability, Networking and Security for Current (5G) and Future Mobile Networks (6G and Beyond) journal January 2023
ML Training with Cloud GPU Shortages conference April 2024
Extreme Heterogeneity 2018 - Productive Computational Science in the Era of Extreme Heterogeneity: Report for DOE ASCR Workshop on Extreme Heterogeneity report December 2018

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Related Subjects

97 MATHEMATICS AND COMPUTING
Cloud computing
Computational modeling
Computer science
Federated learning
Hardware
High performance computing
Resource management
Security
Software engineering
Special issues and sections