The TOP500 Project: Lessons Learned in Fifteen Years Of
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User's Manual
Management Number:OUCMC-super-技術-007-06 National University Corporation Osaka University Cybermedia Center User's manual NEC First Government & Public Solutions Division Summary 1. System Overview ................................................................................................. 1 1.1. Overall System View ....................................................................................... 1 1.2. Thress types of Computiong Environments ........................................................ 2 1.2.1. General-purpose CPU environment .............................................................. 2 1.2.2. Vector computing environment ................................................................... 3 1.2.3. GPGPU computing environment .................................................................. 5 1.3. Three types of Storage Areas ........................................................................... 6 1.3.1. Features.................................................................................................. 6 1.3.2. Various Data Access Methods ..................................................................... 6 1.4. Three types of Front-end nodes ....................................................................... 7 1.4.1. Features.................................................................................................. 7 1.4.2. HPC Front-end ......................................................................................... 7 1.4.1. HPDA Front-end ...................................................................................... -
The ASCI Red TOPS Supercomputer
The ASCI Red TOPS Supercomputer http://www.sandia.gov/ASCI/Red/RedFacts.htm The ASCI Red TOPS Supercomputer Introduction The ASCI Red TOPS Supercomputer is the first step in the ASCI Platforms Strategy, which is aimed at giving researchers the five-order-of-magnitude increase in computing performance over current technology that is required to support "full-physics," "full-system" simulation by early next century. This supercomputer, being installed at Sandia National Laboratories, is a massively parallel, MIMD computer. It is noteworthy for several reasons. It will be the world's first TOPS supercomputer. I/O, memory, compute nodes, and communication are scalable to an extreme degree. Standard parallel interfaces will make it relatively simple to port parallel applications to this system. The system uses two operating systems to make the computer both familiar to the user (UNIX) and non-intrusive for the scalable application (Cougar). And it makes use of Commercial Commodity Off The Shelf (CCOTS) technology to maintain affordability. Hardware The ASCI TOPS system is a distributed memory, MIMD, message-passing supercomputer. All aspects of this system architecture are scalable, including communication bandwidth, main memory, internal disk storage capacity, and I/O. Artist's Concept The TOPS Supercomputer is organized into four partitions: Compute, Service, System, and I/O. The Service Partition provides an integrated, scalable host that supports interactive users, application development, and system administration. The I/O Partition supports a scalable file system and network services. The System Partition supports system Reliability, Availability, and Serviceability (RAS) capabilities. Finally, the Compute Partition contains nodes optimized for floating point performance and is where parallel applications execute. -
DMI-HIRLAM on the NEC SX-6
DMI-HIRLAM on the NEC SX-6 Maryanne Kmit Meteorological Research Division Danish Meteorological Institute Lyngbyvej 100 DK-2100 Copenhagen Ø Denmark 11th Workshop on the Use of High Performance Computing in Meteorology 25-29 October 2004 Outline • Danish Meteorological Institute (DMI) • Applications run on NEC SX-6 cluster • The NEC SX-6 cluster and access to it • DMI-HIRLAM - geographic areas, versions, and improvements • Strategy for utilization and operation of the system DMI - the Danish Meteorological Institute DMI’s mission: • Making observations • Communicating them to the general public • Developing scientific meteorology DMI’s responsibilities: • Serving the meteorological needs of the kingdom of Denmark • Denmark, the Faroes and Greenland, including territorial waters and airspace • Predicting and monitoring weather, climate and environmental conditions, on land and at sea Applications running on the NEC SX-6 cluster Operational usage: • Long DMI-HIRLAM forecasts 4 times a day • Wave model forecasts for the North Atlantic, the Danish waters, and for the Mediterranean Sea 4 times a day • Trajectory particle model and ozone forecasts for air quality Research usage: • Global climate simulations • Regional climate simulations • Research and development of operational and climate codes Cluster interconnect GE−int Completely closed Connection to GE−ext Switch internal network institute network Switch GE GE nec1 nec2 nec3 nec4 nec5 nec6 nec7 nec8 GE GE neci1 neci2 FC 4*1Gbit/s FC links per node azusa1 asama1 FC McData FC 4*1Gbit/s FC links per azusa fiber channel switch 8*1Gbit/s FC links per asama azusa2 asama2 FC 2*1Gbit/s FC links per lun Disk#0 Disk#1 Disk#2 Disk#3 Cluster specifications • NEC SX-6 (nec[12345678]) : 64M8 (8 vector nodes with 8 CPU each) – Desc. -
2017 HPC Annual Report Team Would Like to Acknowledge the Invaluable Assistance Provided by John Noe
sandia national laboratories 2017 HIGH PERformance computing The 2017 High Performance Computing Annual Report is dedicated to John Noe and Dino Pavlakos. Building a foundational framework Editor in high performance computing Yasmin Dennig Contributing Writers Megan Davidson Sandia National Laboratories has a long history of significant contributions to the high performance computing Mattie Hensley community and industry. Our innovative computer architectures allowed the United States to become the first to break the teraflop barrier—propelling us to the international spotlight. Our advanced simulation and modeling capabilities have been integral in high consequence US operations such as Operation Burnt Frost. Strong partnerships with industry leaders, such as Cray, Inc. and Goodyear, have enabled them to leverage our high performance computing capabilities to gain a tremendous competitive edge in the marketplace. Contributing Editor Laura Sowko As part of our continuing commitment to provide modern computing infrastructure and systems in support of Sandia’s missions, we made a major investment in expanding Building 725 to serve as the new home of high performance computer (HPC) systems at Sandia. Work is expected to be completed in 2018 and will result in a modern facility of approximately 15,000 square feet of computer center space. The facility will be ready to house the newest National Nuclear Security Administration/Advanced Simulation and Computing (NNSA/ASC) prototype Design platform being acquired by Sandia, with delivery in late 2019 or early 2020. This new system will enable continuing Stacey Long advances by Sandia science and engineering staff in the areas of operating system R&D, operation cost effectiveness (power and innovative cooling technologies), user environment, and application code performance. -
Lessons Learned in Deploying the World's Largest Scale Lustre File
Lessons Learned in Deploying the World’s Largest Scale Lustre File System Galen M. Shipman, David A. Dillow, Sarp Oral, Feiyi Wang, Douglas Fuller, Jason Hill, Zhe Zhang Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory Oak Ridge, TN 37831, USA fgshipman,dillowda,oralhs,fwang2,fullerdj,hilljj,[email protected] Abstract 1 Introduction The Spider system at the Oak Ridge National Labo- The Oak Ridge Leadership Computing Facility ratory’s Leadership Computing Facility (OLCF) is the (OLCF) at Oak Ridge National Laboratory (ORNL) world’s largest scale Lustre parallel file system. Envi- hosts the world’s most powerful supercomputer, sioned as a shared parallel file system capable of de- Jaguar [2, 14, 7], a 2.332 Petaflop/s Cray XT5 [5]. livering both the bandwidth and capacity requirements OLCF also hosts an array of other computational re- of the OLCF’s diverse computational environment, the sources such as a 263 Teraflop/s Cray XT4 [1], visual- project had a number of ambitious goals. To support the ization, and application development platforms. Each of workloads of the OLCF’s diverse computational plat- these systems requires a reliable, high-performance and forms, the aggregate performance and storage capacity scalable file system for data storage. of Spider exceed that of our previously deployed systems Parallel file systems on leadership-class systems have by a factor of 6x - 240 GB/sec, and 17x - 10 Petabytes, traditionally been tightly coupled to single simulation respectively. Furthermore, Spider supports over 26,000 platforms. This approach had resulted in the deploy- clients concurrently accessing the file system, which ex- ment of a dedicated file system for each computational ceeds our previously deployed systems by nearly 4x. -
An Extensible Administration and Configuration Tool for Linux Clusters
An extensible administration and configuration tool for Linux clusters John D. Fogarty B.Sc A dissertation submitted to the University of Dublin, in partial fulfillment of the requirements for the degree of Master of Science in Computer Science 1999 Declaration I declare that the work described in this dissertation is, except where otherwise stated, entirely my own work and has not been submitted as an exercise for a degree at this or any other university. Signed: ___________________ John D. Fogarty 15th September, 1999 Permission to lend and/or copy I agree that Trinity College Library may lend or copy this dissertation upon request. Signed: ___________________ John D. Fogarty 15th September, 1999 ii Summary This project addresses the lack of system administration tools for Linux clusters. The goals of the project were to design and implement an extensible system that would facilitate the administration and configuration of a Linux cluster. Cluster systems are inherently scalable and therefore the cluster administration tool should also scale well to facilitate the addition of new nodes to the cluster. The tool allows the administration and configuration of the entire cluster from a single node. Administration of the cluster is simplified by way of command replication across one, some or all nodes. Configuration of the cluster is made possible through the use of a flexible, variables substitution scheme, which allows common configuration files to reflect differences between nodes. The system uses a GUI interface and is intuitively simple to use. Extensibility is incorporated into the system, by allowing the dynamic addition of new commands and output display types to the system. -
Titan: a New Leadership Computer for Science
Titan: A New Leadership Computer for Science Presented to: DOE Advanced Scientific Computing Advisory Committee November 1, 2011 Arthur S. Bland OLCF Project Director Office of Science Statement of Mission Need • Increase the computational resources of the Leadership Computing Facilities by 20-40 petaflops • INCITE program is oversubscribed • Programmatic requirements for leadership computing continue to grow • Needed to avoid an unacceptable gap between the needs of the science programs and the available resources • Approved: Raymond Orbach January 9, 2009 • The OLCF-3 project comes out of this requirement 2 ASCAC – Nov. 1, 2011 Arthur Bland INCITE is 2.5 to 3.5 times oversubscribed 2007 2008 2009 2010 2011 2012 3 ASCAC – Nov. 1, 2011 Arthur Bland What is OLCF-3 • The next phase of the Leadership Computing Facility program at ORNL • An upgrade of Jaguar from 2.3 Petaflops (peak) today to between 10 and 20 PF by the end of 2012 with operations in 2013 • Built with Cray’s newest XK6 compute blades • When completed, the new system will be called Titan 4 ASCAC – Nov. 1, 2011 Arthur Bland Cray XK6 Compute Node XK6 Compute Node Characteristics AMD Opteron 6200 “Interlagos” 16 core processor @ 2.2GHz Tesla M2090 “Fermi” @ 665 GF with 6GB GDDR5 memory Host Memory 32GB 1600 MHz DDR3 Gemini High Speed Interconnect Upgradeable to NVIDIA’s next generation “Kepler” processor in 2012 Four compute nodes per XK6 blade. 24 blades per rack 5 ASCAC – Nov. 1, 2011 Arthur Bland ORNL’s “Titan” System • Upgrade of existing Jaguar Cray XT5 • Cray Linux Environment -
Musings RIK FARROWOPINION
Musings RIK FARROWOPINION Rik is the editor of ;login:. While preparing this issue of ;login:, I found myself falling down a rabbit hole, like [email protected] Alice in Wonderland . And when I hit bottom, all I could do was look around and puzzle about what I discovered there . My adventures started with a casual com- ment, made by an ex-Cray Research employee, about the design of current super- computers . He told me that today’s supercomputers cannot perform some of the tasks that they are designed for, and used weather forecasting as his example . I was stunned . Could this be true? Or was I just being dragged down some fictional rabbit hole? I decided to learn more about supercomputer history . Supercomputers It is humbling to learn about the early history of computer design . Things we take for granted, such as pipelining instructions and vector processing, were impor- tant inventions in the 1970s . The first supercomputers were built from discrete components—that is, transistors soldered to circuit boards—and had clock speeds in the tens of nanoseconds . To put that in real terms, the Control Data Corpora- tion’s (CDC) 7600 had a clock cycle of 27 .5 ns, or in today’s terms, 36 4. MHz . This was CDC’s second supercomputer (the 6600 was first), but included instruction pipelining, an invention of Seymour Cray . The CDC 7600 peaked at 36 MFLOPS, but generally got 10 MFLOPS with carefully tuned code . The other cool thing about the CDC 7600 was that it broke down at least once a day . -
Germany's Top500 Businesses
GERMANY’S TOP500 DIGITAL BUSINESS MODELS IN SEARCH OF BUSINESS CONTENTS FOREWORD 3 INSIGHT 1 4 SLOW GROWTH RATES YET HIGH SALES INSIGHT 2 6 NOT ENOUGH REVENUE IS ATTRIBUTABLE TO DIGITIZATION INSIGHT 3 10 EU REGULATIONS ARE WEAKENING INNOVATION INSIGHT 4 12 THE GERMAN FEDERAL GOVERNMENT COULD TURN INTO AN INNOVATION DRIVER CONCLUSION 14 FOREWORD Large German companies are on the lookout. Their purpose: To find new growth prospects. While revenue increases of more than 5 percent on average have not been uncommon for Germany’s 500 largest companies in the past, that level of growth has not occurred for the last four years. The reasons are obvious. With their high export rates, This study is intended to examine critically the Germany’s industrial companies continue to be major opportunities arising at the beginning of a new era of players in the global market. Their exports have, in fact, technology. Accenture uses four insights to not only been so high in the past that it is now increasingly describe the progress that has been made in digital difficult to sustain their previous rates of growth. markets, but also suggests possible steps companies can take to overcome weak growth. Accenture regularly examines Germany’s largest companies on the basis of their ranking in “Germany’s Top500,” a list published every year in the German The four insights in detail: daily newspaper DIE WELT. These 500 most successful German companies generate revenue of more than INSIGHT 1 one billion Euros. In previous years, they were the Despite high levels of sales, growth among Germany’s engines of the German economy. -
Jaguar Supercomputer
Jaguar Supercomputer Jake Baskin '10, Jānis Lībeks '10 Jan 27, 2010 What is it? Currently the fastest supercomputer in the world, at up to 2.33 PFLOPS, located at Oak Ridge National Laboratory (ORNL). Leader in "petascale scientific supercomputing". Uses Massively parallel simulations. Modeling: Climate Supernovas Volcanoes Cellulose http://www.nccs.gov/wp- content/themes/nightfall/img/jaguarXT5/gallery/jaguar-1.jpg Overview Processor Specifics Network Architecture Programming Models NCCS networking Spider file system Scalability The guts 84 XT4 and 200 XT5 cabinets XT5 18688 compute nodes 256 service and i/o nodes XT4 7832 compute nodes 116 service and i/o nodes (XT5) Compute Nodes 2 Opteron 2435 Istanbul (6 core) processors per node 64K L1 instruction cache 65K L1 data cache per core 512KB L2 cache per core 6MB L3 cache per processor (shared) 8GB of DDR2-800 RAM directly attached to each processor by integrated memory controller. http://www.cray.com/Assets/PDF/products/xt/CrayXT5Brochure.pdf How are they organized? 3-D Torus topology XT5 and XT4 segments are connected by an InfiniBand DDR network 889 GB/sec bisectional bandwidth http://www.cray.com/Assets/PDF/products/xt/CrayXT5Brochure.pdf Programming Models Jaguar supports these programming models: MPI (Message Passing Interface) OpenMP (Open Multi Processing) SHMEM (SHared MEMory access library) PGAS (Partitioned global address space) NCCS networking Jaguar usually performs computations on large datasets. These datasets have to be transferred to ORNL. Jaguar is connected to ESnet (Energy Sciences Network, scientific institutions) and Internet2 (higher education institutions). ORNL owns its own optical network that allows 10Gb/s to various locations around the US. -
Scalability and Performance of Salinas on the Computational Plant
Scalability and performance of salinas on the computa- tional plant Manoj Bhardwaj, Ron Brightwell & Garth Reese Sandia National Laboratories Abstract This paper presents performance results from a general-purpose, finite element struc- tural dynamics code called Salinas, on the Computational Plant (CplantTM), which is a large-scale Linux cluster. We compare these results to a traditional supercomputer, the ASCI/Red machine at Sandia National Labs. We describe the hardware and software environment of the Computational Plant, including its unique ability to support eas- ily switching a large section of compute nodes between multiple different independent cluster heads. We provide an overview of the Salinas application and present results from up to 1000 nodes on both machines. In particular, we discuss one of the chal- lenges related to scaling Salinas beyond several hundred processors on CplantTM and how this challenge was addressed and overcome. We have been able to demonstrate that the performance and scalability of Salinas is comparable to a proprietary large- scale parallel computing platform. 1 Introduction Parallel computing platforms composed of commodity personal computers (PCs) in- terconnected by gigabit network technology are a viable alternative to traditional pro- prietary supercomputing platforms. Small- and medium-sized clusters are now ubiqui- tous, and larger-scale procurements, such as those made recently by National Science Foundation for the Distributed Terascale Facility [1] and by Pacific Northwest National Lab [13], are becoming more prevalent. The cost effectiveness of these platforms has allowed for larger numbers of processors to be purchased. In spite of the continued increase in the number of processors, few real-world ap- plication results on large-scale clusters have been published. -
Hardware Technology of the Earth Simulator 1
Special Issue on High Performance Computing 27 Architecture and Hardware for HPC 1 Hardware Technology of the Earth Simulator 1 By Jun INASAKA,* Rikikazu IKEDA,* Kazuhiko UMEZAWA,* 5 Ko YOSHIKAWA,* Shitaka YAMADA† and Shigemune KITAWAKI‡ 5 1-1 This paper describes the hardware technologies of the supercomputer system “The Earth Simula- 1-2 ABSTRACT tor,” which has the highest performance in the world and was developed by ESRDC (the Earth 1-3 & 2-1 Simulator Research and Development Center)/NEC. The Earth Simulator has adopted NEC’s leading edge 2-2 10 technologies such as most advanced device technology and process technology to develop a high-speed and high-10 2-3 & 3-1 integrated LSI resulting in a one-chip vector processor. By combining this LSI technology with various advanced hardware technologies including high-density packaging, high-efficiency cooling technology against high heat dissipation and high-density cabling technology for the internal node shared memory system, ESRDC/ NEC has been successful in implementing the supercomputer system with its Linpack benchmark performance 15 of 35.86TFLOPS, which is the world’s highest performance (http://www.top500.org/ : the 20th TOP500 list of the15 world’s fastest supercomputers). KEYWORDS The Earth Simulator, Supercomputer, CMOS, LSI, Memory, Packaging, Build-up Printed Wiring Board (PWB), Connector, Cooling, Cable, Power supply 20 20 1. INTRODUCTION (Main Memory Unit) package are all interconnected with the fine coaxial cables to minimize the distances The Earth Simulator has adopted NEC’s most ad- between them and maximize the system packaging vanced CMOS technologies to integrate vector and density corresponding to the high-performance sys- 25 25 parallel processing functions for realizing a super- tem.