Cray HPCS Response 10/17/2013
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New CSC Computing Resources
New CSC computing resources Atte Sillanpää, Nino Runeberg CSC – IT Center for Science Ltd. Outline CSC at a glance New Kajaani Data Centre Finland’s new supercomputers – Sisu (Cray XC30) – Taito (HP cluster) CSC resources available for researchers CSC presentation 2 CSC’s Services Funet Services Computing Services Universities Application Services Polytechnics Ministries Data Services for Science and Culture Public sector Information Research centers Management Services Companies FUNET FUNET and Data services – Connections to all higher education institutions in Finland and for 37 state research institutes and other organizations – Network Services and Light paths – Network Security – Funet CERT – eduroam – wireless network roaming – Haka-identity Management – Campus Support – The NORDUnet network Data services – Digital Preservation and Data for Research Data for Research (TTA), National Digital Library (KDK) International collaboration via EU projects (EUDAT, APARSEN, ODE, SIM4RDM) – Database and information services Paituli: GIS service Nic.funet.fi – freely distributable files with FTP since 1990 CSC Stream Database administration services – Memory organizations (Finnish university and polytechnics libraries, Finnish National Audiovisual Archive, Finnish National Archives, Finnish National Gallery) 4 Current HPC System Environment Name Louhi Vuori Type Cray XT4/5 HP Cluster DOB 2007 2010 Nodes 1864 304 CPU Cores 10864 3648 Performance ~110 TFlop/s 34 TF Total memory ~11 TB 5 TB Interconnect Cray QDR IB SeaStar Fat tree 3D Torus CSC -
Workload Management and Application Placement for the Cray Linux Environment™
TMTM Workload Management and Application Placement for the Cray Linux Environment™ S–2496–4101 © 2010–2012 Cray Inc. All Rights Reserved. This document or parts thereof may not be reproduced in any form unless permitted by contract or by written permission of Cray Inc. U.S. GOVERNMENT RESTRICTED RIGHTS NOTICE The Computer Software is delivered as "Commercial Computer Software" as defined in DFARS 48 CFR 252.227-7014. All Computer Software and Computer Software Documentation acquired by or for the U.S. Government is provided with Restricted Rights. Use, duplication or disclosure by the U.S. Government is subject to the restrictions described in FAR 48 CFR 52.227-14 or DFARS 48 CFR 252.227-7014, as applicable. Technical Data acquired by or for the U.S. Government, if any, is provided with Limited Rights. Use, duplication or disclosure by the U.S. Government is subject to the restrictions described in FAR 48 CFR 52.227-14 or DFARS 48 CFR 252.227-7013, as applicable. Cray and Sonexion are federally registered trademarks and Active Manager, Cascade, Cray Apprentice2, Cray Apprentice2 Desktop, Cray C++ Compiling System, Cray CX, Cray CX1, Cray CX1-iWS, Cray CX1-LC, Cray CX1000, Cray CX1000-C, Cray CX1000-G, Cray CX1000-S, Cray CX1000-SC, Cray CX1000-SM, Cray CX1000-HN, Cray Fortran Compiler, Cray Linux Environment, Cray SHMEM, Cray X1, Cray X1E, Cray X2, Cray XD1, Cray XE, Cray XEm, Cray XE5, Cray XE5m, Cray XE6, Cray XE6m, Cray XK6, Cray XK6m, Cray XMT, Cray XR1, Cray XT, Cray XTm, Cray XT3, Cray XT4, Cray XT5, Cray XT5h, Cray XT5m, Cray XT6, Cray XT6m, CrayDoc, CrayPort, CRInform, ECOphlex, LibSci, NodeKARE, RapidArray, The Way to Better Science, Threadstorm, uRiKA, UNICOS/lc, and YarcData are trademarks of Cray Inc. -
Cray XT and Cray XE Y Y System Overview
Crayyy XT and Cray XE System Overview Customer Documentation and Training Overview Topics • System Overview – Cabinets, Chassis, and Blades – Compute and Service Nodes – Components of a Node Opteron Processor SeaStar ASIC • Portals API Design Gemini ASIC • System Networks • Interconnection Topologies 10/18/2010 Cray Private 2 Cray XT System 10/18/2010 Cray Private 3 System Overview Y Z GigE X 10 GigE GigE SMW Fibre Channels RAID Subsystem Compute node Login node Network node Boot /Syslog/Database nodes 10/18/2010 Cray Private I/O and Metadata nodes 4 Cabinet – The cabinet contains three chassis, a blower for cooling, a power distribution unit (PDU), a control system (CRMS), and the compute and service blades (modules) – All components of the system are air cooled A blower in the bottom of the cabinet cools the blades within the cabinet • Other rack-mounted devices within the cabinet have their own internal fans for cooling – The PDU is located behind the blower in the back of the cabinet 10/18/2010 Cray Private 5 Liquid Cooled Cabinets Heat exchanger Heat exchanger (XT5-HE LC only) (LC cabinets only) 48Vdc flexible Cage 2 buses Cage 2 Cage 1 Cage 1 Cage VRMs Cage 0 Cage 0 backplane assembly Cage ID controller Interconnect 01234567 Heat exchanger network cable Cage inlet (LC cabinets only) connection air temp sensor Airflow Heat exchanger (slot 3 rail) conditioner 48Vdc shelf 3 (XT5-HE LC only) 48Vdc shelf 2 L1 controller 48Vdc shelf 1 Blower speed controller (VFD) Blooewer PDU line filter XDP temperature XDP interface & humidity sensor -
Pubtex Output 2006.05.15:1001
Cray XD1™ Release Description Private S–2453–14 © 2006 Cray Inc. All Rights Reserved. Unpublished Private Information. This unpublished work is protected to trade secret, copyright and other laws. Except as permitted by contract or express written permission of Cray Inc., no part of this work or its content may be used, reproduced or disclosed in any form. U.S. GOVERNMENT RESTRICTED RIGHTS NOTICE The Computer Software is delivered as "Commercial Computer Software" as defined in DFARS 48 CFR 252.227-7014. All Computer Software and Computer Software Documentation acquired by or for the U.S. Government is provided with Restricted Rights. Use, duplication or disclosure by the U.S. Government is subject to the restrictions described in FAR 48 CFR 52.227-14 or DFARS 48 CFR 252.227-7014, as applicable. Technical Data acquired by or for the U.S. Government, if any, is provided with Limited Rights. Use, duplication or disclosure by the U.S. Government is subject to the restrictions described in FAR 48 CFR 52.227-14 or DFARS 48 CFR 252.227-7013, as applicable. Autotasking, Cray, Cray Channels, Cray Y-MP, GigaRing, LibSci, UNICOS and UNICOS/mk are federally registered trademarks and Active Manager, CCI, CCMT, CF77, CF90, CFT, CFT2, CFT77, ConCurrent Maintenance Tools, COS, Cray Ada, Cray Animation Theater, Cray APP, Cray Apprentice2, Cray C++ Compiling System, Cray C90, Cray C90D, Cray CF90, Cray EL, Cray Fortran Compiler, Cray J90, Cray J90se, Cray J916, Cray J932, Cray MTA, Cray MTA-2, Cray MTX, Cray NQS, Cray Research, Cray SeaStar, Cray S-MP, -
Jaguar and Kraken -The World's Most Powerful Computer Systems
Jaguar and Kraken -The World's Most Powerful Computer Systems Arthur Bland Cray Users’ Group 2010 Meeting Edinburgh, UK May 25, 2010 Abstract & Outline At the SC'09 conference in November 2009, Jaguar and Kraken, both located at ORNL, were crowned as the world's fastest computers (#1 & #3) by the web site www.Top500.org. In this paper, we will describe the systems, present results from a number of benchmarks and applications, and talk about future computing in the Oak Ridge Leadership Computing Facility. • Cray computer systems at ORNL • System Architecture • Awards and Results • Science Results • Exascale Roadmap 2 CUG2010 – Arthur Bland Jaguar PF: World’s most powerful computer— Designed for science from the ground up Peak performance 2.332 PF System memory 300 TB Disk space 10 PB Disk bandwidth 240+ GB/s Based on the Sandia & Cray Compute Nodes 18,688 designed Red Storm System AMD “Istanbul” Sockets 37,376 Size 4,600 feet2 Cabinets 200 3 CUG2010 – Arthur Bland (8 rows of 25 cabinets) Peak performance 1.03 petaflops Kraken System memory 129 TB World’s most powerful Disk space 3.3 PB academic computer Disk bandwidth 30 GB/s Compute Nodes 8,256 AMD “Istanbul” Sockets 16,512 Size 2,100 feet2 Cabinets 88 (4 rows of 22) 4 CUG2010 – Arthur Bland Climate Modeling Research System Part of a research collaboration in climate science between ORNL and NOAA (National Oceanographic and Atmospheric Administration) • Phased System Delivery • Total System Memory – CMRS.1 (June 2010) 260 TF – 248 TB DDR3-1333 – CMRS.2 (June 2011) 720 TF • File Systems -
Cray XT3/XT4 Software
Cray XT3/XT4 Software: Status and Plans David Wallace Cray Inc ABSTRACT: : This presentation will discuss the current status of software and development plans for the CRAY XT3 and XT4 systems. A review of major milestones and accomplishments over the past year will be presented. KEYWORDS: ‘Cray XT3’, ‘Cray XT4’, software, CNL, ‘compute node OS’, Catamount/Qk processors, support for larger system configurations (five 1. Introduction rows and larger), a new version of SuSE Linux and CFS Lustre as well as a host of other new features and fixes to The theme for CUG 2007 is "New Frontiers ," which software deficiencies. Much has been done in terms of reflects upon how the many improvements in High new software releases and adding support for new Performance Computing have significantly facilitated hardware. advances in Technology and Engineering. UNICOS/lc is 2.1 UNICOS/lc Releases moving to new frontiers as well. The first section of this paper will provide a perspective of the major software The last twelve months have been very busy with milestones and accomplishments over the past twelve respect to software releases. Two major releases months. The second section will discuss the current status (UNICOS/lc 1.4 and 1.5) and almost weekly updates have of the software with respect to development, releases and provided a steady stream of new features, enhancements support. The paper will conclude with a view of future and fixes to our customers. UNICOS/lc 1.4 was released software plans. for general availability in June 2006. A total of fourteen minor releases have been released since last June. -
The Gemini Network
The Gemini Network Rev 1.1 Cray Inc. © 2010 Cray Inc. All Rights Reserved. Unpublished Proprietary Information. This unpublished work is protected by trade secret, copyright and other laws. Except as permitted by contract or express written permission of Cray Inc., no part of this work or its content may be used, reproduced or disclosed in any form. Technical Data acquired by or for the U.S. Government, if any, is provided with Limited Rights. Use, duplication or disclosure by the U.S. Government is subject to the restrictions described in FAR 48 CFR 52.227-14 or DFARS 48 CFR 252.227-7013, as applicable. Autotasking, Cray, Cray Channels, Cray Y-MP, UNICOS and UNICOS/mk are federally registered trademarks and Active Manager, CCI, CCMT, CF77, CF90, CFT, CFT2, CFT77, ConCurrent Maintenance Tools, COS, Cray Ada, Cray Animation Theater, Cray APP, Cray Apprentice2, Cray C90, Cray C90D, Cray C++ Compiling System, Cray CF90, Cray EL, Cray Fortran Compiler, Cray J90, Cray J90se, Cray J916, Cray J932, Cray MTA, Cray MTA-2, Cray MTX, Cray NQS, Cray Research, Cray SeaStar, Cray SeaStar2, Cray SeaStar2+, Cray SHMEM, Cray S-MP, Cray SSD-T90, Cray SuperCluster, Cray SV1, Cray SV1ex, Cray SX-5, Cray SX-6, Cray T90, Cray T916, Cray T932, Cray T3D, Cray T3D MC, Cray T3D MCA, Cray T3D SC, Cray T3E, Cray Threadstorm, Cray UNICOS, Cray X1, Cray X1E, Cray X2, Cray XD1, Cray X-MP, Cray XMS, Cray XMT, Cray XR1, Cray XT, Cray XT3, Cray XT4, Cray XT5, Cray XT5h, Cray Y-MP EL, Cray-1, Cray-2, Cray-3, CrayDoc, CrayLink, Cray-MP, CrayPacs, CrayPat, CrayPort, Cray/REELlibrarian, CraySoft, CrayTutor, CRInform, CRI/TurboKiva, CSIM, CVT, Delivering the power…, Dgauss, Docview, EMDS, GigaRing, HEXAR, HSX, IOS, ISP/Superlink, LibSci, MPP Apprentice, ND Series Network Disk Array, Network Queuing Environment, Network Queuing Tools, OLNET, RapidArray, RQS, SEGLDR, SMARTE, SSD, SUPERLINK, System Maintenance and Remote Testing Environment, Trusted UNICOS, TurboKiva, UNICOS MAX, UNICOS/lc, and UNICOS/mp are trademarks of Cray Inc. -
Cray DVS: Data Virtualization Service
Cray DVS: Data Virtualization Service Stephen Sugiyama and David Wallace, Cray Inc. ABSTRACT: Cray DVS, the Cray Data Virtualization Service, is a new capability being added to the XT software environment with the Unicos/lc 2.1 release. DVS is a configurable service that provides compute-node access to a variety of file systems across the Cray high-speed network. The flexibility of DVS makes it a useful solution for many common situations at XT sites, such as providing I/O to compute nodes from NFS file systems. A limited set of use cases will be supported in the initial release but additional features will be added in the future. KEYWORDS: DVS, file systems, network protocol used in the communication layer takes advantage 1. Introduction of the high-performance network. The Cray Data Virtualization Service (Cray DVS) is Most file systems are not capable of supporting a network service that provides compute nodes hundreds or thousands or tens of thousands file system transparent access to file systems mounted on service clients. With DVS, there may be thousands of clients that nodes. DVS projects file systems mounted on service connect to a small number of DVS servers; the underlying nodes to the compute nodes: the remote file system file system sees only the aggregated requests from the appears to be local to applications running on the DVS servers. compute nodes. This solves several common problems: • Access to multiple file systems in the data center 2. Architecture • Resource overhead of file system clients on the The Cray XT series of supercomputers contain compute nodes compute nodes and service nodes. -
Accelerators in Cray's Adaptive Supercomputing
Accelerators in Cray's Adaptive Supercomputing NCSA’s Reconfigurable Systems Summer Institute Dave Strenski Application Analyst [email protected] What does a petaflop look like? Theoretical Performance with 10 Gflop/s Nodes 1000 900 800 700 600 Tflop/s 500 400 300 200 1.00000 0.99999 100 0.99990 0.99900 % Parallel 0 0.99000 1 10 0.90000 100 1000 10000 0.00000 Number of Nodes 100000 May 16, 2007 Copyright 2007 – Cray Inc. 2 Supercomputing is increasingly about managing scalability 16,316 • Exponential increase with advent of multi-core chips • Systems with more than 100,000 10,073 processing cores • 80+ core processor expected within the decade 3,518 2,827 3,093 2,230 1,644 1,847 1,245 1,073 722 808 202 408 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Average Number of Processors Per Supercomputer (Top 20) Source: www.top500.org May 16, 2007 Copyright 2007 – Cray Inc. 3 Opportunities to Exploit Heterogeneity Applications vary considerably in their demands Any HPC application contains some form of parallelism • Many HPC apps have rich, SIMD-style data-level parallelism Can significantly accelerate via vectorization • Those that don’t generally have rich thread-level parallelism Can significantly accelerate via multithreading • Some parts of applications are not parallel at all Need fast serial scalar execution speed (Amdahl’s Law) Applications also vary in their communications needs • Required memory bandwidth and granularity Some work well out of cache, some don’t • Required network bandwidth and granularity Some ok with message passing , some need shared memory No one processor/system design is best for all apps May 16, 2007 Copyright 2007 – Cray Inc. -
The Cray XT4 and Seastar 3-D Torus Interconnect
The Cray XT4 and Seastar 3-D Torus Interconnect April 6, 2010 BYLINE Dennis Abts [email protected] Google Inc. Madison, WI USA [email protected] SYNONYMS Cray Red Storm, Cray XT3, Cray XT4, Cray XT5, Cray XT, Interconnection Networks DEFINITION The Cray XT4 system is a distributed memory multiprocessor combining an aggressive superscalar proces- sor (AMD64) with a bandwidth-rich 3-D torus interconnection network that scales up to 32K processing nodes. This chapter provides an overview of the Cray XT4 system architecture and a detailed discussion of its interconnection network. DISCUSSION The physical sciences are increasingly turning toward computational techniques as an alternative to the traditional “wet lab” or destructive testing environments for experimentation. In particular, computational sciences can be used to scale far beyond that of traditional experimental methodologies; opening the door to large-scale climatology and molecular dynamics, for example, which encompass enough detail to ac- curately model the dominant terms that characterize the physical phenomena being studied [2]. These large-scale applications require careful orchestration among cooperating processors to ply these computa- tional techniques effectively. The genesis of the Cray XT4 system was the collaborative design and deployment of the Sandia “Red Storm” computer which provided the computational power necessary to assure safeguards under the nu- clear Stockpile Stewardship Program which seeks to maintain and verify a nuclear weapons arsenal with- out the use of testing. It was later renamed the Cray XT3 and sold commercially in configurations varying from hundreds of processors, to 10s of thousands of processors. An improved processor, faster processor- network interface, along with further optimizations to the software stack and migrating to a lightweight Linux kernel prompted the introduction of the Cray XT4; however, the underlying system architecture and interconnection network remained unchanged. -
Use Style: Paper Title
Titan: Early experience with the Cray XK6 at Oak Ridge National Laboratory Arthur S. Bland, Jack C. Wells, Otis E. Messer, Oscar R. Hernandez, James H. Rogers National Center for Computational Sciences Oak Ridge National Laboratory Oak Ridge, Tennessee, 37831, USA [blandas, wellsjc, bronson, oscar, jrogers, at ORNL.GOV] Abstract— In 2011, Oak Ridge National Laboratory began an turbines, building a virtual nuclear reactor to increase power upgrade to Jaguar to convert it from a Cray XT5 to a Cray output and longevity of nuclear power plants, modeling the XK6 system named Titan. This is being accomplished in two ITER prototype fusion reactor, predicting impacts from phases. The first phase, completed in early 2012, replaced all of climate change, earthquakes and tsunamis, and improving the XT5 compute blades with XK6 compute blades, and the aerodynamics of vehicles to increase fuel economy. replaced the SeaStar interconnect with Cray’s new Gemini Access to Titan is available through several allocation network. Each compute node is configured with an AMD programs. More information about access is available Opteron™ 6274 16-core processors and 32 gigabytes of DDR3- through the OLCF web site at: 1600 SDRAM. The system aggregate includes 600 terabytes of http://www.olcf.ornl.gov/support/getting-started/. system memory. In addition, the first phase includes 960 The OLCF worked with Cray to design Titan to be an NVIDIA X2090 Tesla processors. In the second phase, ORNL will add NVIDIA’s next generation Tesla processors to exceptionally well-balanced system for modeling and increase the combined system peak performance to over 20 simulation at the highest end of high-performance PFLOPS. -
Leadership Computing Directions at Oak Ridge National Laboratory: Navigating the Transition to Heterogeneous Architectures
Leadership Computing Directions at Oak Ridge National Laboratory: Navigating the Transition to Heterogeneous Architectures International Symposium on Computing in Atmospheric Sciences September 8-12 , 2013 James J. Hack, Director National Center for Computational Sciences Oak Ridge National Laboratory Arthur S. “Buddy” Bland, OLCF Project Director Bronson Messer, OLCF Scientific Computing James Rogers, NCCS Director of Operations Jack Wells, NCCS Director of Science U.S. Department of Energy strategic priorities Incremental changes to existing technologies cannot meet these challenges – Transformational advances in energy technologies are needed – Transformational adaptation strategies will need to be implemented – Transformational changes to tools that allow a predictive explorations of paths forward Innovation Energy Security Investing in science, Providing clean, secure Safeguarding nuclear discovery and innovation energy and promoting and radiological materials, to provide solutions economic prosperity advancing responsible to pressing energy through energy efficiency legacy cleanup, and challenges and domestic maintaining nuclear forms of energy deterrence 2 Managed by UT-Battelle for the U.S. Department of Energy 3 Managed by UT-Battelle New for the York U.S. Department Magazine of Energy ExampleEnergy is of our the defining virtualization challenge challenge And a great example of success Big storm early next week (Oct 29) with wind and rain??? A number of computer models today were hinting at that, suggesting a tropical system now in the Caribbean may merge with a cold front in that time table, close to the East Coast. At the same time, 8 days is an eternity in storm forecasting, so plenty of time to watch this. Consider this an early “heads-up” that we’ll have an interesting an weather feature to monitor this week..