Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Evaluating the Cloud for Capability Class Leadership Workloads

Technical Report ·
DOI:https://doi.org/10.2172/2000306· OSTI ID:2000306
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1];  [1] more »;  [1] « less
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
+ Show Author Affiliations
Cloud platforms offer a variety of benefits that are very appealing for a large scale HPC facility with a diverse and dynamic user base and workload set. At the same time, there is cause for concern about transitioning to the cloud. Incorporating cloud resources into existing HPC facilities or even fully transitioning to a cloud deployment poses significant challenges at the technical, organizational, and economic levels. Regardless, based on current trends it is highly likely that cloud platforms will become an integral component of many HPC centers in some form. To gain a better understanding of both the limitations and capabilities of current cloud infrastructures we evaluated the public offerings of the three leading cloud platforms (Amazon Web Services, Microsoft Azure, and Google Cloud Platform) using a selection of representative application workloads from our facility. Our findings show that while current HPC offerings are still nascent, significant progress is being made to address the present shortcomings. At the same time, significant challenges and questions remain about whether HPC cloud offerings will be able to deliver the full range of expected benefits.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
2000306
Report Number(s):
ORNL/TM--2023/3083
Country of Publication:
United States
Language:
English

Similar Records

Development of an end state vision to implement digital monitoring in nuclear plants
S&T Accomplishment Report · Thu Mar 31 00:00:00 EDT 2022 · OSTI ID:1860372
Workload Characterization of a Leadership Class Storage Cluster
Conference · Thu Dec 31 23:00:00 EST 2009 · OSTI ID:993463
A comparison of Amazon Web Services and Microsoft Azure cloud platforms for high performance computing
Conference · Sun Dec 31 23:00:00 EST 2017 · OSTI ID:1435288

Related Subjects

97 MATHEMATICS AND COMPUTING