Shanghai Jiao Tong University (SJTU) is building an OpenStack-based HPC Cloud for clinicians from various hospitals & institutes to improve the efficiency of diagnostic, therapeutic, and monitoring tasks. Clinicians can take advantage of cloud-based data mining technology to deal with huge amount of research data obtained from molecular medicine, such as genetic or genomic signatures and apply predictive data analytics with learning models in clinical medicine for patients' health. Predictive data mining is a typical HPC workload which is not easy to manage in OpenStack cloud. There are many challenges, trade-offs, and gaps in this cloud journey.
In this session, we’ll share:
- How to build a HPC platform upon OpenStack infrastructure
- What’s the key consideration of architecture design
- How to dynamically provide a fully optimized HPC cluster with OpenHPC ingredients within OpenStack
- How to guarantee the data mining workload performance in cloud environment
- How to build a HPC platform upon OpenStack infrastructure
- What’s the key consideration of architecture design
- How to dynamically provide a fully optimized HPC cluster with OpenHPC ingredients within OpenStack
- How to guarantee the data mining workload performance in cloud environment
Registration Opening Soon
Registration will open for you to purchase passes for the OpenStack Summit very soon!
We're excited to see you there!
