OpenStack at SJTU: Predictive Data Mining in Clinical Medicine with Dynamical HPC
•
1 like•201 views
This document summarizes a presentation on using OpenStack and OpenHPC at Shanghai Jiao Tong University. The presentation discusses using OpenStack and OpenHPC to centralize hardware resources and improve utilization for high performance computing workloads in scientific research areas like clinical medicine and genome analysis. OpenHPC provides a standardized software stack that can help manage HPC infrastructure and workloads in a multi-tenant cloud environment. The HPC Cloud Toolkit project aims to provide tools for deploying HPC as a service on OpenStack using the OpenHPC software stack.
Recommended
More Related Content
Similar to OpenStack at SJTU: Predictive Data Mining in Clinical Medicine with Dynamical HPC
Similar to OpenStack at SJTU: Predictive Data Mining in Clinical Medicine with Dynamical HPC (20)
More from Shuquan Huang
More from Shuquan Huang (9)
Recently uploaded
Recently uploaded (20)
OpenStack at SJTU: Predictive Data Mining in Clinical Medicine with Dynamical HPC
- 1. OpenStack at SJTU Predictive Data Mining in Clinical Medicine with Dynamical HPC SHUQUAN HUANG, 99CLOUD <HUANG.SHUQUAN@99CLOUD.NET> DR LUO XUAN, SHANGHAI JIAO TONG UNIVERSITY <XLUO@SJTU.EDU.CN> DR YIH LEONG SUN, INTEL CORPORATION <YIH.LEONG.SUN@INTEL.COM>
- 2. Agenda ➡ INTRODUCTION ➡ BACKGROUND ➡ OPENSTACK & OPENHPC ➡ FUTURE WORK ➡ Q&A
- 3. Introduction ➡ SHUQUAN HUANG • Technical Director, 99Cloud • Focus on helping enterprise land OpenStack cloud and migrate the data & applications to cloud environment • Joint OpenStack since 2011 as ATC, Speaker, Track Chair, etc. ➡ DR. LUO XUAN • Senior Engineer, Shanghai Jiao Tong University • BS, MS and Ph.D degree from SJTU • Focus Area: Cloud computing, software defined network, data analysis ➡ DR. YIH LEONG SUN • Senior Software Cloud Architect, Intel Open Source Technology Center • PhD Multi-Cloud Orchestration • >17 years experience in software development and datacenter operation
- 4. Background ➡ PROBLEM STATEMENT • Hardware are distributed with low utilization • High failure rate and energy consumption • SLA is not guaranteed ➡ MISSION OF SJTU CLOUD SERVICES • Centralize the hardware and improve the overall utilization • Provide stable services for IT hosting within SJTU • Serve complicated application in scientific research areas, such as clinical medicine, Genome sequence analysis, etc. • Integrate the data across traditional silos
- 5. Predictive Data Mining in Clinical Medicine with Dynamical HPC ➡ HPC @ SJTU • 400 nodes with Centos6.5, # of user increased by 89% since 2015 • Luster with RDMA, over 4PB Storage • CPU/GPU utilization: over 60% • Infiniband with ofed driver • Slurm ➡ TRANSLATIONAL MEDICINE RESEARCH • Genome sequence analysis, splicing and mutation identification • Computational chemistry and drug design • Knowledge base search, text search and mining, and database comparison • Clinical information, electronic medical records, image data, gene expression analysis Big Data 9% Nature Sciences 18% Life Sciences 27% Physics and Astronomy 37% Others 9% STORAGE USAGE OF DIFFERENT AREA
- 6. HPC Requirements ➡ MULTI-TENANCY & SELF-SERVICES ➡ MUCH MORE EASY & FLEXIBLE TO MANAGE HPC INFRASTRUCTURE ➡ THE OVERALL UTILIZATION IMPROVEMENT ➡ HPC WORKLOAD MANAGEMENT ➡ HIGH THROUGHPUT SUPPORT
- 7. What is OpenHPC? ➡ MISSION • OpenHPC is a Linux Foundation Collaborative Project whose mission is to provide a reference collection of open-source HPC software components and best practices, lowering barriers to deployment, advancement, and use of modern HPC methods and tools. ➡ VISION • OpenHPC components and best practices will enable and accelerate innovation and discoveries by broadening access to state-of-the-art, open-source HPC methods and tools in a consistent environment, supported by a collaborative, worldwide community of HPC users, developers, researchers, administrators, and vendors.
- 8. Who contributed to OpenHPC?
- 9. OpenHPC Software Stack Func. Areas Components Base OS Centos 7.3, SLEC12 SP2 Architecture x86_64, aarch64 (Tech Preview) Admin Tools Conman, Ganglia, Lmod, LosF, Nagios, pdsh, pdsh-mod-slurm, prun, EasyBuild, ClusterShell, mrsh, Genders, Shine, Spack Provisioning Warewulf, xCAT Res Mgmt SLURM, Munge, PBS Prof Runtimes OpenMP, OCS, Singularity I/O services Lustre, BeeGFS Func. Areas Components Numerical / Scientific Lib Boost, GSL, FFTW, Metis, PETSc, Trilinos, Hypre, SuperLU, Mumps, OpenBLAS, Scalapack I/O Lib HDF5 (pHDF5), NetCDF, Adios Compiler GNU (gcc, g++, gfortran) MPI MVAPICH2, OpenMPI, MPICH Dev Tools Autotools (autoconf, automake, libtool), ValgrindR, SciPy, hwloc Perf Tools PAPI, IMB, mpiP pdtoolkit TAU, Scalasca, ScoreP, SIONLib https://github.com/openhpc/submissions
- 10. Build an OpenHPC Recipe
- 11. +
- 12. HPC as a Service Controller HPC Head Node HPC Compute Node HPC Compute Node HPC Compute Node High Speed Fabric / HPC Data Interface BMC interface Provisioning interface External Network
- 13. HPC Cloud Burst Controller HPC Compute Node HPC Compute Node HPC Compute Node High Speed Fabric / HPC Data Interface BMC interface Provisioning interface External Network HPC Head Node HPC Compute Node HPC Compute Node HPC Compute Node
- 14. HPC as a Service
- 15. HPC Cloud Toolkit https://github.com/hpc-cloud-toolkit/ostack-hpc➡ RELEASE 0.7 • Tested OS: Centos 7.3 • OpenStack version: OpenStack Ocata • OpenHPC version: 1.3.1 ➡ MAILING LIST • hpc-cloud-toolkit-users (https://groups.io/g/hpc-cloud-toolkit-users) • for general questions, discussions, a suggestion to the project by users. • Hpc-cloud-toolkit-devel (https://groups.io/g/hpc-cloud-toolkit-devel) • for developers contributing the hpc-cloud-toolkit.