Deeper Insights for Higher Education with HPC & Big Data
Universities need high-performance IT environments that can process massive amounts of data and support increasingly sophisticated simulations and analyses. Researchers need computing power, agility and scalability to rapidly analyze a wide range of structured and unstructured data and achieve deeper insights in many disciplines ranging from astrophysics to public health. IBM Spectrum Computing high performance cluster, grid and HPC cloud solutions can help universities bring together often highly distributed IT clusters to create a shared high performance compute and big data environment that is more agile, scalable and cost effective.
Supporting a wide range of research projects can be difficult in IT environments where computing resources were originally dedicated to discrete projects. This approach leads to siloed environments, uneven resource allocations among departments and little economy of scale savings. IBM Spectrum Computing solutions can help educational institutions transform their siloed environments into a shared compute and big data environment that can analyze data faster and more economically. As a result, researchers in the arts and humanities can analyze large amounts of unstructured data on the same HPC environment used by engineers.
IBM Spectrum Computing cluster, grid and HPC cloud management software solutions are designed to enable the high performance infrastructure needed to accelerate both compute and data-intensive applications. Compute intensive applications include structural mechanics, finite element analysis, computational fluid dynamics, explicit dynamics, multi-physics, computer aided design, and home-grown applications. Data-intensive applications include big data and Hadoop MapReduce based applications.
The solutions include workload and process management, HPC application integration, job submission and management, license scheduling, analytics and visualization, and MPI implementation. They are easy to deploy, with simple HPC cluster setup and management, and pre-integration of leading ISV applications including ANSYS and SIMULIA, to accelerate engineering simulations while providing users with transparent access to distributed computing resources.
To further lower the risk, cost, and time of putting together these solutions, IBM Spectrum Computing is working with leading ISVs to create industry-specific workload-optimized configurations. These configurations are based on proven reference architectures including the IBM Reference Architecture for Genomics and on both Power8 and x86 systems
IBM Spectrum Computing solutions help create dynamic, flexible high performance clusters, HPC cloud and big data analytics environments, allowing you to achieve a wide range of benefits:
For the most complex problems you face, IBM Spectrum Computing software enables rapid modeling and analysis with extremely large data sets more efficiently. Optimized configurations based on reference architectures enable rapid implementation time resulting in lower costs and implementation complexity.
Connect with Spectrum Computing