Huawei Rozwiązania i platformy HPC

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Huawei Rozwiązania i platformy HPC Dominik Dziarczykowski HUAWEI TECHNOLOGIES CO., LTD. www.huawei.com

Huawei IT Portfolio Converged Infrastructure Worldwide FusionInsight E9000 Enterprise SME/Branch FusionCube ES3000 SSD Card FusionAccess 1U 2S 2U 2S FusionSphere 4U 4S RH5885 RH8100 X6000 X6800 RH2288 RH1288 5800 V3 5600 V3 5300/5500 V3 OceanSto r S2600T OceanSto rs2200t Micro DC X8000 Rack Server 9000 N8500 Dorado5100 Dorado2100 G2 Modular DC Container DC 18000 Series Cloud Datacenter ManageOne DC Management Scalability/Reliability

Storage HPC Solutions Typical Scenario High I/O Scenario Big Capacity Scenario High Bandwidth Scenario Integration Bandwidth < 20GB/s Integration Bandwidth < 100GB/s Integration Bandwidth <200GB/s Integration Bandwidth <500GB/s Single node < 2 GB/s Single node < 4GB/s Single node < 800MB/s Single node 3,6,9-12GB/s About 100K files About 100K files More than 500K files More than 500K files For balanced performance and capacity High I/O for creating lots of files per second For big capacity For big capacity and high performance For high performance MDS OSS Lustre parallel file system OSS MDS OSS Lustre parallel file system OSS IB/10GE IB/10GE SAN IB.. OceanStor V3 FusionStorage OceanStor 9000 Wushan FS Xyratex ClusterStor FC IP/IB IP/IB IP/IB IP/IB

Equipment Room Switches Huawei HPC Solution: Network and Infrastructure Options Ethernet Switches IB Switches CE12812 Mellanox :MIS51 Mellanox: xx MIS52xx MIS50xx MIS60xx CE12808 CE12804 CE6800 CE5800 MIS65xx Intel 12200 Mini (< 20 m 2 ) Small (30-100 m 2 ) Medium and large (100-2000+ m 2 ) Application scenario: small-sized enterprises Deployment scale: 1-5 server cabinets Application scenario: small- and mediumsized enterprises Deployment scale: 6-28 server cabinets Application scenario: medium- and largesized enterprises Deployment scale: 28-1000+ server

Elastic HPC Solution Customizing Portal (SI or Customer) Cloud Services Amazon Expanding flexibly BCM providing unified scheduling PM (Physical machines) VM (Virtual machines) FusionSphere / Openstack BCM monitoring and supervising HPC Hardware Pool Server Storage Network & Security E9000 9000 RH5885/H CE Series Dorado5100 RH2288 Infiniband V3 Data center Network ManageOne

HUAWEI HPC Sucessful Cases North America State University of Iowa University of Nebraska-Lincoln University of Tennessee, Knoxville University of Santa Cruz Digital domain Central and Eastern Asia Turkish Academic Network and Information Centre Yildiz Technical University Istanbul Technical University in Turkey Harran University Latin America Asia Illumination in France Mexico Water Conservancy Bureau Meteorological bureau in Macao Mexico Ministry of agriculture Singapore Global Foundries Mackenzie University in Brazil Meteorological bureau in Philippines Astronomy Institute in Chile Institute of Medical foundation of University of Sao Paulo (USP) in Brazil Case in 2013 Case in 2014 Europe Deltares Institute in the Netherlands Sankt-Petersburg university in Russia Italian CNR Utility Association Eilenburg-Wurzen in PCSS in Poland German ICM University of Warsaw Newcastle University in U.K. (Phases Japan China I,II,III,IIII) Kyushu University Institute of Disaster Prevention China electricity research Science and Technology institution Provincial environment Shanghai Life sciences research protection bureau in HeNan institution of China science Beijing Data Research institution Department, Post and Sino-Singapore Tianjin Eco-city Telecommunications Scientific Tsinghua university Institut Beijing Jiaotong University Beihang University School of Psychology, Southwest Capital Medical University University Changsha national China electricity research supercomputing center institution Guangzhou national Beijing Forestry University supercomputing center Provincial environment protection bureau in HeBei

PCSS-Poznanskie Centrum Superkomputerowo-Sieciowe. PCSS in English PSNC (Poznan Supercomputing and Networking Center). Member of PL Grid organisation, leaders in High performance computing field and energy efficient solutions. PCSS provides service to all scientist in Poland and worldwide. Solution Scope 9 x E9000 Blade Chassis 138 CH121V3 Blades server with Intel Haswell E5-2697 v3 CPU Based on Huawei E9000 Blade server, partner customized Direct liquid cooling system with water, improve cooling efficiency Results Average efficiency of node 0,901Tflops Hardware with ~60 kw power consumption 80% of the heat removed by the water loop HPL test: only 2 servers failed or were DOA

ICM-Uniwersytet Warszawski. ICM, Interdisciplinary Centre for Mathematical and Computational Modeling, Warsaw University. Leading scientific high-end computing centre in Poland. ICM is member of Poland PL-Grid Group in High performance computing field, provide the service for scientists. Solution Scope 15 x E9000 Blade Chassis 240 CH121V3 Blades server with Intel Haswell E5-2697 v3 CPU Why Huawei High Reliability Energy efficiency and telecom class quality Cluster reach a theoretically 279.5TFLOPS computing capability Huawei provides overall low TCO solution https://www.youtube.com/watch?v=cum4hdc-3di

European Organization for Nuclear Research (CERN) Explores the Particles with OceanStor Customer Challenges Over 25 PB of annual data growth High reliability and cross-region data cloud sharing Long-term data storage and maximum total cost of ownership Huawei Solution Applies UDS' EB-level storage capacity to meet the growing data storage requirements. Applies multiple data copies to enhance reliability of service data. "CERN is hitting the technology limits for resource-intensive simulations and analysis. Our collaboration with Huawei shows an exciting new approach, where their novel architecture extends the capabilities in preparation for the exascale data rates and volumes we expect in the future." ----- Bob Jones, Head of CERN openlab. Customer Benefits TCO reduced by 45% High reliability with no data loss Distributed architecture and EB-level storage capacity meeting the storage requirements for the following 40 years

UCSC Explores the Mysteries of Heavenly Bodies with HUAWEI UDS Challenges The capacity of the existing storage system failed to meet the requirements of astronomical observation data and modeling data that were growing at a rate of PB. The traditional storage system caused expensive purchase and O&M costs. An isolated data storage platform was incapable of sharing results among colleges. Huawei Solution The UDS' EB-level capacity met the growing data storage requirements. A high-density and low-consumption hardware platform and ZeroTouch reached a balance between data stability and storage utilization. Open S3 APIs and a unified namespace enabled multi-point access and resource sharing Hyades is more than ten times better than our previous machine, and with the Huawei system providing storage for our simulation results, we can maximize the value of those results by making them available to the astrophysics community. Piero Madau, professor of astronomy and astrophysics and principal investigator on the National Science Foundation (NSF) grant Customer Benefits The distributed architecture and EB-level storage capacity made it easy to handle data explosion. An efficient, low-consumption, and intelligent design lowered 45% of TCO. A unified resource pool and a cross-region data sharing platform improved data access efficiency. The on-demand dynamic storage space allocation adapted to growing services.