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Benchmark: #Helion public cloud instance types for #HPC workloads

When choosing an instance size for your high CPU workload, you have an important decision to make. Do you want speed or low price or a combination of the two? How do you find all that out? Benchmarking.

Benchmarking Blender on HP Helion Public Cloud

As an example, we decided to test out HP Helion Cloud high CPU workloads using Blender, the popular open source high resolution graphics and animation engine. Specifically, we used a test workload with 16 different .blend files containing data used for the 3D rendering of animated houses. We deployed this on a single node and spun up 16 tasks per node in an attempt to take better advantage of multiple processors available on a given VM:

 

16TaskBlenderHelion

Instance Name

vCPU

RAM

Time (hrs)

Cost Per Job

standard.medium

2

4

5.83

$0.72

standard.xlarge

4

15

1.60

$0.90

standard.2xlarge

8

30

0.83

$0.90

standard.8xlarge

16

120

0.33

$3.24

 

Analyzing Results

From the raw data, we can see that there are very distinct price-performance possibilities here.  If speed is imperative, the standard 8xlarge gets the job done quickly in roughly 20 minutes.  However if cost is the primary consideration and the timeliness of the answer doesn’t matter, the standard medium instance is extremely attractive.

Regardless, this is exactly the type of raw data an organization needs to make instance type decisions when running HPC workloads on public clouds.  Only through benchmarking that considers both price AND performance can you get what you need to make an informed decision.  At that point, you can take the specifics of your situation into account and decide for yourself.

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