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1 Umeå University Introduction to HPC2N and Kebnekaise Jerry Eriksson, Pedro Ojeda-May, and Birgitte Brydsö
2 Outline Short presentation of HPC2N HPC at a glance. HPC2N Abisko, Kebnekaise HPC Programming models how to develope your own code (separate slides packages) Nvidia,GPU: OpenAcc, Cuda Intel OpenMP
3 to North" HPC2N HPC A national center for Parallel and Scientific Computing Five partners: Luleå University of Technology Mid Sweden University Swedish Institute of Space Physics Swedish University of Agricultural Sciences - SLU Umeå University Funded by the Swedish Research Council (VR) and its Meta-Center SNIC togheter with the partners.
4 From macro scale to micro scale Provides state-of-the-art resources and expertise for Swedish escience Scalable and parallel HPC Large-scale storage facilities Grid and cloud computing Software and advanced support for escience applications International network for research and development DFT computation, semi-stable, binding energy 15eV; Sven Öberg, LTU
5 Main areas of HPC2N users Biosciences and medicine Chemistry Computing science Engineering Materials science Mathematics and statistics Physics including space physics
6 Storage HPC2N Basically three types of storage are available at HPC2N: Center Storage - Parallel file system (fast discs) Closely connected to our computing resources; Abisko and Kebnekaise SweStore - disk based (dcache) part of SNIC Storage, responsible for national accessible storage Tape Storage Backup Long term storage
7 HPC2N Think Tank! User support (primary, advanced, tailored) Research group UmU User training and education program Workshops & Colloquia Research & Development - Technology transfer Provide various state-of-the-art HPC resources
8 HPC Towards Exascale Computing Moore's law: the number of transistors in a chip doubles every second years. Parallel Computing: Increase number of cores. Heterogenous clusters Different processors and memories. Power efficiency!
9 HPC EcoSystems
10 PRACE - Partnership for Advanced Computing in Europe Tracing tools (GROMACS, 16 Cores)
11 Now to the clusters and programming m A large amount of numbers and technical information will follow!! Relax, you do not need to now everything in detail, and we offer training for those things you should know.
12 Abisko 332 nodes with a total of CPU cores. AMD Opteron 6238 (Interlagos) The 10 'fat' nodes have 512 GB RAM each, and the 322 'thin' nodes have 128 GB RAM each. (More details can be found on our web-pages)
13 Kebnekaise
14 Intels processors
15 Compute nodes 432 nodes Intel Broadwell ( E5-2690v4) 2x14 cores/node 128GB memory Infiniband FDR
16 Large memory nodes 20 nodes Intel Broadwell (E7-8860v4) 4x18 cores/node 3TB memory Infiniband EDR
17 KNL - Intel Knights Landing 36 nodes 68 cores 1.4GHz (1.2GHz AVX) 192 GB memory - 16 GB MCDRAM Infiniband FDR Installation in February
18
19 Intel Xeon Phi General or special-purpose processor?
20 GPU nodes 32 nodes with 2x NVidia K80 4 nodes with 4x NVidia K80 Intel Broadwell 2x14 cores (E5-2690v4) 128 GB memory Infiniband FDR
21 High Speed Interconnect Infiniband Three level fat tree structure FDR cards in nodes (leafs) EDR cards in large memory nodes EDR in switches
22 Kebnekaise in numbers 13 racks 544 nodes cores (of which 2448 cores are KNL-cores) CUDA cores (80 * 4992 cores/k80) More than 125TB memory (20*3TB + ( ) * 128GB + 36*192GB) 66 switches (Infiniband, Access network, Management network)
23 Kebnekaise in numbers 83% of the system are standard and Large Memory nodes 7% GPU-nodes 7% KNL-nodes 4% Other nodes (login and management nodes, LNET-routers etc) 728 TFlops/s Peak performance 629 TFLops/s HPL (all parts) Standard Nodes 374 TFlops/s HPL: 86% of Peak performance Large Memory Nodes 34 TFlops/s 2xGPU Nodes 129 TFlops/s 4xGPU Nodes 30 TFlops/s KNL Nodes 62 TFlops/s Total (All parts) 629 Flops/s
Umeå University
HPC2N: Introduction to HPC2N and Kebnekaise, 2017-09-12 HPC2N @ Umeå University Introduction to HPC2N and Kebnekaise Jerry Eriksson, Pedro Ojeda-May, and Birgitte Brydsö Outline Short presentation of HPC2N
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