Our integration of Globus into our science gateway was recently highlighted by the Science Gateways Community Institute:

Read more here.

Below you will find the results of running the standard RELION2 benchmark on a number of different node configurations to optimize speed vs. ‘cost’ (in service units, SUs).

Optimal configuration for COSMIC² users: 8 x K80 GPUs (which is across 2 nodes) is worth it – nearly double the speed, but only a fraction more SUs to pay for it.

Fastest analysis: 12 x P100 GPUs (which made it also the most ‘expensive’)

RELION benchmarking test set (link)

• Job type: RELION 3D Classification – v2.1.b1; 25 iterations
• Data info: 105,247 particles; 360 x 360 pixels
• Elapsed time: 3 hr 14 min
• Compute type: GPU (4 x P100)
• SUs: 19.5

• Job type: RELION 3D Classification – v2.1.b1; 25 iterations
• Data info: 105,247 particles; 360 x 360 pixels
• Elapsed time: 1 hr 43 min
• Compute type: GPU (8 x P100)
• SUs: 21

• Job type: RELION 3D Classification – v2.1.b1; 25 iterations
• Data info: 105,247 particles; 360 x 360 pixels
• Elapsed time: 1 hr 25 min
• Compute type: GPU (12 x P100)
• SUs: 23

• Job type: RELION 3D Classification – v2.1.b1; 25 iterations
• Data info: 105,247 particles; 360 x 360 pixels
• Elapsed time: 3 hr 42 min
• Compute type: GPU (4 x K80)
• SUs: 15

• Job type: RELION 3D Classification – v2.1.b1; 25 iterations
• Data info: 105,247 particles; 360 x 360 pixels
• Elapsed time: 2 hr 2 min
• Compute type: GPU (8 x K80)
• SUs: 16

• Job type: RELION 3D Classification – v2.1.b1; 25 iterations
• Data info: 105,247 particles; 360 x 360 pixels
• Elapsed time: 1 hr 42 min
• Compute type: GPU (12 x K80)
• SUs: 20.4

In preparation for the release of the gateway, we have (finally) gotten around to posting a step-by-step guide to using Globus for data upload into COSMIC2.

Read more here.

We had our first ‘official’ event as a science gateway at PEARC 2017. Mona Wong attended the conference & presented our results to an excited crowded of HPC / science gateway enthusiasts. Good job Mona!

You can read our PEARC 2017 paper here. Be sure to send us any questions or comments!