Supercomputers: Government Plans and Policies
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Annual Reports of FCCSET Subcommittee Annual Trip Reports To
Annual Reports of FCCSET Subcommittee Annual trip reports to supercomputer manufacturers trace the changes in technology and in the industry, 1985-1989. FY 1986 Annual Report of the Federal Coordinating Council on Science, Engineering and Technology (FCCSET). by the FCCSET Ocnmittee. n High Performance Computing Summary During the past year, the Committee met on a regular basis to review government and industry supported programs in research, development, and application of new supercomputer technology. The Committee maintains an overview of commercial developments in the U.S. and abroad. It regularly receives briefings from Government agency sponsored R&D efforts and makes such information available, where feasible, to industry and universities. In addition, the committee coordinates agency supercomputer access programs and promotes cooperation with particular emphasis on aiding the establish- ment of new centers and new communications networks. The Committee made its annual visit to supercomputer manufacturers in August and found that substantial progress had been made by Cray Research and ETA Systems toward developing their next generations of machines. The Cray II and expanded Cray XMP series supercomputers are now being marketed commercially; the Committee was briefed on plans for the next generation of Cray machines. ETA Systems is beyond the prototype stage for the ETA-10 and planning to ship one machine this year. A ^-0 A 1^'Tr 2 The supercomputer vendors continue to have difficulty in obtaining high performance IC's from U.S. chip makers, leaving them dependent on Japanese suppliers. In some cases, the Japanese chip suppliers are the same companies, e.g., Fujitsu, that provide the strongest foreign competition in the supercomputer market. -
The Paramountcy of Reconfigurable Computing
Energy Efficient Distributed Computing Systems, Edited by Albert Y. Zomaya, Young Choon Lee. ISBN 978-0-471--90875-4 Copyright © 2012 Wiley, Inc. Chapter 18 The Paramountcy of Reconfigurable Computing Reiner Hartenstein Abstract. Computers are very important for all of us. But brute force disruptive architectural develop- ments in industry and threatening unaffordable operation cost by excessive power consumption are a mas- sive future survival problem for our existing cyber infrastructures, which we must not surrender. The pro- gress of performance in high performance computing (HPC) has stalled because of the „programming wall“ caused by lacking scalability of parallelism. This chapter shows that Reconfigurable Computing is the sil- ver bullet to obtain massively better energy efficiency as well as much better performance, also by the up- coming methodology of HPRC (high performance reconfigurable computing). We need a massive cam- paign for migration of software over to configware. Also because of the multicore parallelism dilemma, we anyway need to redefine programmer education. The impact is a fascinating challenge to reach new hori- zons of research in computer science. We need a new generation of talented innovative scientists and engi- neers to start the beginning second history of computing. This paper introduces a new world model. 18.1 Introduction In Reconfigurable Computing, e. g. by FPGA (Table 15), practically everything can be implemented which is running on traditional computing platforms. For instance, recently the historical Cray 1 supercomputer has been reproduced cycle-accurate binary-compatible using a single Xilinx Spartan-3E 1600 development board running at 33 MHz (the original Cray ran at 80 MHz) 0. -
High Performance Computing for Science
Index Algorithms: 8, 15, 21, 24 Design, high-performance computers: 21 Applications programs: 8 Digital libraries and archives: 8 ARPANET: 5, 10 Digital libraries, Global Digital Library: 8 Artificial intelligence: 8, 26 Education: 8, 10, 13 Bardon/Curtis Report: 9 EDUCOM, Networking and Telecommunications Bibliographic services: 10 Task Force: 10 Black hole: 5, 6 Electronic Bulletin boards: 4, 6, 10, 11, 12 information technologies: 4, 5, 6 Journals: 6 California Institute of Technology: 29 mail: 6, 10, 12 Central processing units (CPU): 22,24, 30 Executive Office of the President: 11 Committee on Science, Engineering, and Public Policy (COSEPUP): 9 Federal Coordinating Council for Science, Engineering, Computational science: 21, 22 and Technology (FCCSET): 1, 3 Computer Federal Government Alliant: 6 budget and funding: 12, 17, 18, 19, 20, 22 Apple Macintosh: 31 funding, individual research: 12, 19 connection machines: 31 policy: 12, 16, 20, 23, 26 Control Data ETA: 22 procurement regulations: 16 Control Data 6600: 26 research and development (R&D): 3, 4, 5, 8, 11, 15, 16, Cray 1: 31 17, 18, 24,25, 26, 32 Cray X-MP computer: 7, 19 responsibilities, 11, 13, 15 data flow processors: 31 FederaI High Performance Computing and Communications design: 22, 28, 29, 30, 32 Program (HPCC): 2, 18 fuzzy logic: 31 Fifth Generation Project: 2 hypercube: 29, 31 Floating point operations (FLOPS): 31 IBM Stretch: 27 Florida State University (FSU): 7, 18 IBM 3090: 30 Fluid flow: 6 IBM 3090 computer: 6 IBM 360: 27 Gallium Arsenide: 28-29 manufacture: 22 -
Nvidia Tesla Gpu Computing Processor Ushers in The
For further information, contact: Andrew Humber NVIDIA Corporation (408) 486 8138 [email protected] FOR IMMEDIATE RELEASE: NVIDIA TESLA GPU COMPUTING PROCESSOR USHERS IN THE ERA OF PERSONAL SUPERCOMPUTING New NVIDIA Tesla Solutions Bring Unprecedented, High-Density Parallel Processing to the HPC Market “NVIDIA Tesla™ is going to make discovery of huge oil reserves possible through faster and more accurate interpretation of geophysical data.” —Steve Briggs, Headwave, Inc. “NVIDIA Tesla will give us a 100-fold increase in some of our programs, and this is on desktop machines where previously we would have had to run these calculations on a cluster.” —John Stone, University of Illinois Urbana-Champaign “NVIDIA Tesla has opened up completely new worlds for computational electromagnetics.” — Ryan Schneider, Acceleware SANTA CLARA, CA—JUNE 20, 2007—High-performance computing in fields like the geosciences, molecular biology, and medical diagnostics enable discoveries that transform billions of lives every day. Universities, research institutions, and companies in these and other fields face a daunting challenge—as their simulation models become exponentially complex, so does their need for vast computational resources. NVIDIA took a giant step in meeting this challenge with its announcement of a new class of processors based on a revolutionary new GPU. Under the NVIDIA® Tesla™ brand, NVIDIA will offer a family of GPU computing products that will place the power previously available only from supercomputers in the hands of every scientist and engineer. Today’s workstations will be transformed into “personal supercomputers.” “Today’s science is no longer confined to the laboratory; scientists employ computer simulations before a single physical experiment is performed. -
A Personal Supercomputer for Climate Research
CSAIL Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology A Personal Supercomputer for Climate Research James C. Hoe, Chris Hill In proceedings of SuperComputing'99, Portland, Oregon 1999, August Computation Structures Group Memo 425 The Stata Center, 32 Vassar Street, Cambridge, Massachusetts 02139 A Personal Sup ercomputer for Climate Research Computation Structures Group Memo 425 August 24, 1999 James C. Ho e Lab for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 jho [email protected] Chris Hill, Alistair Adcroft Dept. of Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology Cambridge, MA 02139 fcnh,[email protected] To app ear in Pro ceedings of SC'99 This work was funded in part by grants from the National Science Foundation and NOAA and with funds from the MIT Climate Mo deling Initiative[23]. The hardware development was carried out at the Lab oratory for Computer Science, MIT and was funded in part by the Advanced Research Pro jects Agency of the Department of Defense under the Oce of Naval Research contract N00014-92-J- 1310 and Ft. Huachuca contract DABT63-95-C-0150. James C. Ho e is supp orted byanIntel Foundation Graduate Fellowship. The computational resources for this work were made available through generous donations from Intel Corp oration. We acknowledge Arvind and John Marshall for their continuing supp ort. We thank Andy Boughton and Larry Rudolph for their invaluable technical input. A Personal Sup ercomputer for Climate Research James C. Ho e Chris Hill, Alistair Adcroft Lab for Computer Science Dept. of Earth, Atmospheric and Planetary Sciences Massachusetts Institute of Technology Massachusetts Institute of Technology Cambridge, MA 02139 Cambridge, MA 02139 jho [email protected] fcnh,[email protected] August 24, 1999 Abstract We describ e and analyze the p erformance of a cluster of p ersonal computers dedicated to coupled climate simulations. -
1. Types of Computers Contents
1. Types of Computers Contents 1 Classes of computers 1 1.1 Classes by size ............................................. 1 1.1.1 Microcomputers (personal computers) ............................ 1 1.1.2 Minicomputers (midrange computers) ............................ 1 1.1.3 Mainframe computers ..................................... 1 1.1.4 Supercomputers ........................................ 1 1.2 Classes by function .......................................... 2 1.2.1 Servers ............................................ 2 1.2.2 Workstations ......................................... 2 1.2.3 Information appliances .................................... 2 1.2.4 Embedded computers ..................................... 2 1.3 See also ................................................ 2 1.4 References .............................................. 2 1.5 External links ............................................. 2 2 List of computer size categories 3 2.1 Supercomputers ............................................ 3 2.2 Mainframe computers ........................................ 3 2.3 Minicomputers ............................................ 3 2.4 Microcomputers ........................................... 3 2.5 Mobile computers ........................................... 3 2.6 Others ................................................. 4 2.7 Distinctive marks ........................................... 4 2.8 Categories ............................................... 4 2.9 See also ................................................ 4 2.10 References -
Intellectual Personal Supercomputer for Solving R&D Problems
ISSN 2409-9066. Sci. innov. 2016, 12(5): 15—27 doi: https://doi.org/10.15407/scine12.05.015 Khimich, O.M., Molchanov, I.M., Mova, V.І., Nikolaichuk, О.O., Popov, O.V., Chistjakova, Т.V., Jakovlev, M.F., Tulchinsky, V.G., and Yushchenko, R.А. Glushkov Institute of Cybernetics, the NAS of Ukraine, 40, Glushkov Av., Кyiv, 03187, Ukraine, tel.: +38 (044) 526-60-88, fax: +38 (044) 526-41-78 INTELLECTUAL PERSONAL SUPERCOMPUTER FOR SOLVING R&D PROBLEMS New Ukrainian intelligent personal supercomputer of hybrid architecture «Inparcom-pg» has been developed for mod- eling in defense industry, engineering, construction, etc. Intelligent software for automated analysis and numeric solution of computational problems with approximate data has been developed. It has been used for implementation of simulation applications in construction, welding, and underground filtration. Keywords: modeling, simulation, intelligent computer, hybrid architecture, computational mathematics, and approxi- mate data. Mathematical modeling and associated com- computer capabilities despite the multi-core pro- puter experiment is currently among the main cessors. GPGPU technology (from General-Pur- tools for studying various natural phenomena pose Graphic Processing Units) meets the de- and processes in society, economy, science and mand of accelerating calculations on multi-core technology. Simulation significantly reduces the computers for big numbers of similar arithmetic development time and cost of new objects in en- operations. It means general purpose computing ergy and resource-saving. It increases efficiency on video cards. of real test planning and makes it possible to con- The approach has bumped the development of sider several variants to select the best. -
Downloaded for Personal Non-Commercial Research Or Study, Without Prior Permission Or Charge
Bissland, Lesley (1996) Hardware and software aspects of parallel computing. PhD thesis http://theses.gla.ac.uk/3953/ Copyright and moral rights for this thesis are retained by the author A copy can be downloaded for personal non-commercial research or study, without prior permission or charge This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the Author The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the Author When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given Glasgow Theses Service http://theses.gla.ac.uk/ [email protected] Hardware and Software aspects of Parallel Computing BY Lesley Bissland A thesis submitted to the University of Glasgow for the degree of Doctor of Philosophy in the Faculty of Science Department of Chemistry January 1996 © L. Bissland 1996 Abstract Parallel computing has developed in an attempt to satisfy the constant demand for greater computational power than is available from the fastest processorsof the time. This has evolved from parallelism within a single Central ProcessingUnit to thousands of CPUs working together.The developmentof both novel hardware and software for parallel multiprocessor systemsis presentedin this thesis. A general introduction to parallel computing is given in Chapter 1. This covers the hardware design conceptsused in the field such as vector processors,array processors and multiprocessors. The basic principles of software engineering for parallel machines (i. e. decomposition, mapping and tuning) are also discussed. -
Guide to Building Your Own Tesla Personal Supercomputer System Print PDF
Guide to Building Your Own Tesla Personal Supercomputer System Print PDF This guide is to help you build a Tesla Personal Supercomputer. If you have experience in building systems/workstations, you may want to build your own system. Otherwise, the easiest thing is to buy an off-the-shelf Tesla Personal Supercomputer from one of these resellers. As with building any system, it is at your own risk and responsibility. There are many possible components to choose from when you build such a system. NVIDIA provides general guidance, but cannot test every configuration and combination of components. Minimum Specifications of Main Components These minimum specifications are for folks who want to label their system a “Tesla Personal Supercomputer”. You can of course build a workstation with fewer Tesla GPUs in it. 3x Tesla C1060 Quad-core CPU: 2.33 GHz (Intel or AMD) 12 GB of system memory (4GB of system memory per Tesla C1060) Linux 64-bit or Windows XP 64-bit System acoustics < 45 dBA 1200 W power supply Example of Complete 4 Tesla C1060 System Configuration This is a list of suggested components to build a 4x Tesla C1060 PSC. Several of these components such as the memory, CPU, power supply, case, can be substituted with an appropriate equivalent and suitable component. We do not certify any components for the PSC; this is left to the system builders. 4 Tesla C1060 Configuration Motherboard Tyan S7025 PCI-e bandwidth 4x PCI-e x16 Gen2 slots Tesla GPUs 4x Tesla C1060 On-board graphics (works with Linux, Windows requires NVIDIA GPU in Graphics -
The Cydra 5 Departmental Supercomputer Design Philosophies, Decisions, and Trade-Offs
The Cydra 5 Departmental Supercomputer Design Philosophies, Decisions, and Trade-offs B. Ramakrishna Rau, David W.L. Yen, Wei Yen, and Ross A. Towle Cydrome, Inc. 1 groups or departments of scien- work done at TRW Array Processors and tists and engineers.’ It costs about the To meet at ESL (a subsidiary of TRW). The poly- same as a high-end superminicomputer cyclic architecture3 developed at ($500,000 to $1 million), but it can achieve price-performance TRW/ESL is a precursor to the directed- about one-third to one-half the perfor- targets for a new dataflow architecture developed at mance of a supercomputer costing $10 to Cydrome starting in 1984. The common $20 million. This results from using high- minisupercomputer, a theme linking both efforts is the desire to speed, air-cooled, emitter-coupled logic team of computer support the powerful and elegant dataflow technology in a product that includes model of computation with as simple a many architectural innovations. scientists conducted hardware platform as possible. The Cydra 5 is a heterogeneous multi- The driving force behind the develop- processor system. The two types of proces- an exhaustive-and ment of the Cydra 5 was the desire for sors are functionally specialized for the enlightening- increased performance over superminis on different components of the work load numerically intensive computations, but found in a departmental setting. The investigation into the with the following constraint: The user Cydra 5 numeric processor, based on the should not have to discard the software, company’s directed-dataflow architec- relative merits of the set of algorithms, the training, or the ture,* provides consistently high perfor- available techniques acquired over the years. -
Embedded Graphics Processing Units
Embedded Graphics Processing Units by Patrick H. Stakem (c) 2017 Number 18 in the Computer Architecture Series 1 Table of Contents Introduction......................................................................................4 Author..............................................................................................5 The Architectures.............................................................................5 The ALU......................................................................................5 The FPU......................................................................................6 The GPU......................................................................................6 Graphics Data Structure........................................................11 Graphic Operations on data..................................................11 Massively Parallel Architectures....................................................14 Supercomputer on a Module..........................................................16 Embedded Processors....................................................................19 CUDA.......................................................................................23 GPU computing.........................................................................24 Massively Parallel Systems ...........................................................27 Interconnection of CPU/GPU's and memory on a single chip..27 Embedded GPU Products..............................................................28 Nvidia -
Supercomputer at Affordable Price
November 10, 2008 Supercomputer at Affordable Price Supermicro Cost-effective Personal Supercomputer in Volume Production SAN JOSE, Calif., Nov 10, 2008 /PRNewswire-FirstCall via COMTEX News Network/ -- Super Micro Computer, Inc. (Nasdaq: SMCI), a leader in application-optimized, high performance server solutions, today announced the addition of the world's most affordable personal supercomputer to its SuperBlade(R) family. Supermicro's new 10-blade server system based on the SBI-7125C-T3 blade provides the industry's most cost-effective blade solution, while also being the greenest personal supercomputer and office computing solution. Based on Supermicro's Server Building Block Solutions(R) architecture, the SBI-7125C-T3 can also be optimized for 14-blade configurations which are ideal for HPC and datacenter applications. (Photo: http://www.newscom.com/cgi-bin/prnh/20081110/CLM907 ) "Our new SuperBlade(R) solution can be a very cost-effective supercomputer. Now our customers can affordably enable a personal supercomputer next to their desks with the same computing power previously only available via large server installations," said Charles Liang, CEO and president of Supermicro. "This optimized blade solution features 93%* power supply efficiency, innovative and highly efficient thermal and cooling system designs, and industry-leading system performance-per-watt (290+ GFLOPS/kW*), making it the greenest, most power-saving blade solution." At an affordable price point, the highly efficient SuperBlade(R) minimizes operating costs to provide the best total cost of ownership (TCO) solution available. This solution will particularly enable customers with a limited budget who need high- performance computing. This supercomputer is ideal for scientists and researchers in life science, bioinformatics, physics, chemistry and similar fields of engineering and science.