5 Things to Know About the IBM Reference Architecture for High Performance Analytics in HealthCare and Life Science
Facing the challenges of data tsunami and parallel discovery, IBM has been working to evolve high performance computing (HPC) into High Performance Data Analytics (HPDA) to harness the power of big data, cloud and deep learning.
Advancements in high-throughput molecular profiling techniques and high-performance computing systems have introduced in a new area of personalized healthcare where the treatment and prevention of a disease can be tailored to the unique molecular profiles, behavioral characteristics, and environmental exposures of individual patients.
Healthcare and life science organizations must manage, access, store, share and analyze big data within the constraints of their IT budgets. For many biomedical research and clinical organizations, large-scale initiatives in personalized healthcare are technical daunting. IBM’s reference architecture for healthcare and life sciences defines a platform for delivering the highest level of performance for big data workloads, while also lowering the total cost of IT ownership.
Here are 5 things to know about the IBM Reference Architecture for High Performance Analytics in HealthCare and Life Science:
1. Diverse computing architecture built on a common infrastructure.
IBM Spectrum Computing cloud solutions for high performance cloud transform static computing resources into flexible private, hybrid and public clouds that can be shared, remotely managed and easily provisioned to support the demands of technical computing, analytics, Hadoop and other compute- and data-intensive workloads.
2. Building blocks: Spectrum Computing, Spectrum Symphony, and OpenPOWER with IBM Power Systems.
IBM Spectrum Computing provides a comprehensive set of workload management capabilities; all designed to work together to address your needs. IBM Spectrum Symphony employs optimization techniques that allow sub-millisecond response and fast provisioning for a variety of workloads. Thus, short-running jobs spend a smaller percentage of time in the provisioning and deprovisioning steps, giving a higher useful work-to-overhead ratio. IBM Spectrum Symphony has a high job throughput rate that allows more than 17,000 tasks to be submitted per second. OpenPOWER systems are being designed to support compute- and data-intensive workloads, such as machine learning and deep neural networks.
3. Key platform capabilities.
IBM Spectrum Computing offers a comprehensive set of cloud capabilities designed to work together to address your high-performance cloud needs to help you deliver application-ready clusters in the cloud. IBM Spectrum Computing assists organizations with consolidating data center infrastructure and sharing resources across on premise, cloud or hybrid environments. IBM Spectrum Computing includes three new software solutions: IBM Spectrum Conductor, IBM Spectrum LSF and IBM Spectrum Symphony.
4. Hybrid architecture built on IBM Spectrum Computing and IBM Spectrum Scale.
IBM Spectrum Computing helps remove the complexity out of the cluster management. It simplifies the entire cluster management process from the initial deployment to final production, thus significantly improve the time for cluster readiness. The automated provisioning, maintenance, and monitoring capabilities bring productivity to the IT administrators and help improve overall system performance while optimizing the resource utilization.
5. Ecosystem of business partners in the healthcare and life sciences industry.
Healthcare and life science industry subject matter experts, both within and outside of IBM, contribute to the enablement of computational algorithms, user applications, and data repositories that clinicians and research scientists might choose to run on IBM Systems infrastructure. To meet full system requirements for customers pursuing personalized healthcare initiatives, IBM Systems has already formed business and development partnerships with healthcare and life science industry leaders
IBM is also developing ground-breaking technologies for hybrid cloud, converged platform, and metadata/provenance systems to enable the architecture. For more information, visit the website: https://www.ibm.com/storage/healthcare-industry
The expanded software-defined computing portfolio complements the IBM Spectrum Storage software-defined storage family. The IBM Spectrum portfolio provides clients with a unique set of software-defined infrastructure capabilities. For more information, visit the website: https://www.ibm.com/spectrum-computing
For detailed information about the IBM Reference Architecture for High Performance Analytics in HealthCare and Life Science, refer to the following website:
For IBM Redbooks publications, refer to IBM Reference Architecture for Genomics: Speed, Scale, Smarts at the following website: http://www.redbooks.ibm.com/abstracts/redp5210.html?Open