QNIBTerminal Plus InfiniBand - Containerized MPI Workloads
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In this deck, Christian Kniep presents: QNIBTerminal Plus InfiniBand - Containerized MPI Workloads. Watch the video presentation: http://wp.me/p3RLHQ-dvM
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QNIBTerminal Plus InfiniBand - Containerized MPI Workloads
- 1. QNIBTerminal plus InfiniBand Containerized MPI Workloads insideHPC Edition Slides slightly modified in comparison to the HPC Advisory Council Christian Kniep 2014-11-05
- 2. Agenda • Docker in a Nutshell • QNIBTerminal • Testbed • MPI Benchmark • HPCG-Results • Future Work • Conclusion 2
- 3. Docker in a Nutshell 3 • (chroot on steroids)2
- 4. Docker in a Nutshell • Builds on-top LinuX Containers (LXC) • Kernel namespaces (isolation) • cgroups (resource mgmt) 4 • (chroot on steroids)2
- 5. Docker in a Nutshell • intuitive build system 5 • (chroot on steroids)2 • Builds on-top LinuX Containers (LXC) • Kernel namespaces (isolation) • cgroups (resource mgmt)
- 6. Docker in a Nutshell • intuitive build system • public repositories • RedHat backing 6 • (chroot on steroids)2 • Builds on-top LinuX Containers (LXC) • Kernel namespaces (isolation) • cgroups (resource mgmt)
- 7. Traditional vs. Lightweight Layers 7 SERVICE SERVICE Userland (OS) Userland (OS) Userland (OS) KERNEL KERNEL HYPERVISOR HOST KERNEL SERVER SERVICE KERNEL Userland (OS) SERVICE SERVICE Userland (OS) Userland (OS) Userland (OS) HOST KERNEL SERVER SERVICE Userland (OS) Traditional Virtualisation Containerisation IB IB
- 8. QNIBTerminal Motivation 8 Plain Metrics
- 9. QNIBTerminal Motivation 9 Plain Log Events
- 10. QNIBTerminal Motivation 10 Overlap Metrics/Log Events
- 11. QNIBTerminal Overview 11 One Node Setup • All network traffic over bridge • Crippled MPI workload elk dns elasticsearch logstash kibana helixdns etcd haproxy haproxy Compute slurmd compute<N> slurmd compute0 slurmctld slurmctld grafana grafana graphite-api graphite-api graphite-web graphite-web carbon carbon Log/Events Services Performance
- 12. • 3 containers on top (CentOS 6, CentOS 7, Ubuntu 12) • SLURM Resource Scheduler • 1 native partition • 3 containers partitions • Multiple Open MPI version installed • gcc versions Testbed 12 • 8 nodes (CentOS 7, 2x 4core XEON, 32GB, Mellanox ConnectX-2)
- 13. MPI Benchmark • osu-micro-benchmarks-4.4.1 • osu_alltoall with two tasks on two hosts $ mpirun -np 2 -H venus001,venus002 $(pwd)/osu_alltoall # OSU MPI All-to-All Personalized Exchange Latency Test v4.4.1 # Size Avg Latency(us) 1 1.83 2 1.82 4 1.74 8 1.63 16 1.62 32 1.68 64 1.80 128 2.77 256 3.11 512 3.51 MPI benchmark was not in original HPC Advisory Council Presentation 13
- 14. MPI Benchmark distribution’s results [2 task @2nodes] 14 latency [us] 5 4 3 2 1 0 native cos7 cos6 u12 4 8 16 32 64 128 256 512 1024 Message Size (KB) MPI benchmark was not in original HPC Advisory Council Presentation
- 15. 15 latency [us] 2,8 2,1 1,4 0,7 0 MPI Benchmark Open MPI comparison [2 task @2nodes, avg(1B->64B)] distribution 1.5.4 1.6.4 1.8.3 native cos7 cos6 u12 oMPI 1.6.4 oMPI 1.6.4 oMPI 1.5.4 oMPI 1.5.4
- 16. • mimics thermodynamic application workload • Linpack corrective / successor in the long-term? 16 HPCG Benchmark
- 17. 17 HPCG Benchmark 6 5,25 GFLOP/s 3 4,5 3,75 distribution’s results native cos7 cos6 u12 CentOS 7.0 oMPI 1.6.4 gcc 4.8.2
- 18. 18 HPCG Benchmark 6 5,25 GFLOP/s 3 4,5 3,75 native cos7 cos6 u12 CentOS 7.0 oMPI 1.6.4 gcc 4.8.2 CentOS 6.5 oMPI 1.5.4 gcc 4.4.7 Ubuntu12.04 oMPI 1.5.4 gcc 4.6.3 distribution’s results
- 19. 6 5,25 HPCG Benchmark s GFLOP/4,5 3,75 3 distribution 19 native cos7 cos6 u12 oMPI 1.6.4 oMPI 1.6.4 oMPI 1.5.4 oMPI 1.5.4 Open MPI comparison
- 20. 6 5,25 HPCG Benchmark s GFLOP/4,5 3,75 3 distribution 1.6.4 1.8.4 20 native cos7 cos6 u12 oMPI 1.6.4 oMPI 1.6.4 oMPI 1.5.4 oMPI 1.5.4 gcc 4.8.2 gcc 4.8.2 gcc 4.4.7 gcc 4.6.3 Open MPI comparison
- 21. 6 5,25 HPCG Benchmark s GFLOP/4,5 3,75 3 distribution 1.5.4 1.6.4 1.8.4 21 native cos7 cos6 u12 oMPI 1.6.4 oMPI 1.6.4 oMPI 1.5.4 oMPI 1.5.4 gcc 4.8.2 gcc 4.8.2 gcc 4.4.7 gcc 4.6.3 Open MPI comparison
- 22. Future Work • Compare with tuned bare-metal • Tune docker installation • Use of SV-IOR (Keynote earlier today) • Compare different frameworks to orchestrate • Security evaluations 22 • Benchmark real-world applications
- 23. Conclusion • Abstraction bare-metal / application works fine • Bare-metal kernel provides access to IB • Container in charge from MPI upwards • Out-of-the-box: container beats bare-metal • Continuous testing/deployment of containerized workloads 23 • Bunch of tooling within docker ecosystem • Low performance overhead
- 24. La Fin • Contact • @CQnib / @qnibinc • christian@qnib.org • http://qnib.org 24 https://www.flickr.com/photos/dharmabum1964/3108162671
- 25. La Fin • Contact • @CQnib / @qnibinc • christian@qnib.org • http://qnib.org • Paper: http://doc.qnib.org/ 25 https://www.flickr.com/photos/dharmabum1964/3108162671
- 26. La Fin 26 https://www.flickr.com/photos/dharmabum1964/3108162671 • Contact • @CQnib / @qnibinc • christian@qnib.org • http://qnib.org • Paper: http://doc.qnib.org/ • Interested? • Docker Pitch today • Internal Evaluations • Workshops / Talks
- 27. La Fin 27 https://www.flickr.com/photos/dharmabum1964/3108162671 • Contact • @CQnib / @_qnib • christian@qnib.org • http://qnib.org • Paper: http://doc.qnib.org/ • Interested? • Docker Pitch today • Internal Evaluations • Workshops / Talks • Questions?