High Performance Computing with SLES for HPC on AWS

High Performance Computing with SLES for HPC on AWS

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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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