High Performance Computing with SLES for HPC on AWS
High Performance Computing with SLES for HPC on AWS
[tut1393]
David Duncan, Partner Solutions Architect, AWS Kevin Ayres, Solutions Architect, SUSE
HPC Customer Pain Points
Complexity
Maintenance
Time to Solution
"Composing a working HPC environment is difficult, timeconsuming, requiring experts."
? Clusters are hard to use and manage as they become more complex in heterogeneous environments
? Storage access time and data management are becoming new bottlenecks
"My IT staff doesn't have time to update and test all the different software components."
? Better management software is needed, and deployment approach needs to be updated to leverage HPC and cloud infrastructure
? Stack components provided by multiple vendors, making it more challenging to maintain
"I need to maximize application performance, scale workloads, and minimize overhead."
? Parallel software is lacking with many applications needing a major re-design
? Stack components provided by multiple vendors, making managing more challenging
? Segmented into commercial and scientific, and there is not enough collaboration
The HPC universe is expanding in new ways
?
? HPC is a growth market, with a growing recognition of strategic value
Source: Hyperion Research, June 2017
? HPC ROI is very high
? $551 on average revenue per dollar invested in HPC
? $52 on average profit (or cost savings) per dollar invested in HPC
? Key use cases:
? HPC in the cloud (incl. HPCaaS)
? Cognitive computing (incl. AI/ML/DL)
? HPDA (High Performance Data Analysis)
? IoT
? Key applications:
CAGR 2016-2021:
? Modeling and simulation ? Data analytics
4/15/2019
? 5.6% Supercomputer (>$500K)
? 5.0% Divisional ($250K-$500K)
? 6.3% Departmental ($100K-$250K)
? 6.3% Workgroup ( ................
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