Requirements Analysis for Adaptive Supercomputing Using Cray XK7 As a Case Study
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Petaflops for the People
PETAFLOPS SPOTLIGHT: NERSC housands of researchers have used facilities of the Advanced T Scientific Computing Research (ASCR) program and its EXTREME-WEATHER Department of Energy (DOE) computing predecessors over the past four decades. Their studies of hurricanes, earthquakes, NUMBER-CRUNCHING green-energy technologies and many other basic and applied Certain problems lend themselves to solution by science problems have, in turn, benefited millions of people. computers. Take hurricanes, for instance: They’re They owe it mainly to the capacity provided by the National too big, too dangerous and perhaps too expensive Energy Research Scientific Computing Center (NERSC), the Oak to understand fully without a supercomputer. Ridge Leadership Computing Facility (OLCF) and the Argonne Leadership Computing Facility (ALCF). Using decades of global climate data in a grid comprised of 25-kilometer squares, researchers in These ASCR installations have helped train the advanced Berkeley Lab’s Computational Research Division scientific workforce of the future. Postdoctoral scientists, captured the formation of hurricanes and typhoons graduate students and early-career researchers have worked and the extreme waves that they generate. Those there, learning to configure the world’s most sophisticated same models, when run at resolutions of about supercomputers for their own various and wide-ranging projects. 100 kilometers, missed the tropical cyclones and Cutting-edge supercomputing, once the purview of a small resulting waves, up to 30 meters high. group of experts, has trickled down to the benefit of thousands of investigators in the broader scientific community. Their findings, published inGeophysical Research Letters, demonstrated the importance of running Today, NERSC, at Lawrence Berkeley National Laboratory; climate models at higher resolution. -
Geo-DB Requirement Analysis
2.1.1. Overview Lifecycle 2 Conceptual Database Design 2.1 Requirement analysis -> Text 2.2 Modeling languages Requirement analysis -> Conceptual Model 2.1.1 Overview Conceptual Design 2.1.2 Requirement Analysis (case study) 2.2.1 Basic Modeling Primitives 2.2.2 Modeling Languages: UML and CREATE TABLE Studentin (SID INTEGER PRIMARY KEY, -> Database schema VName CHAR(20) Name CHAR(30)CREATE NOT TABLENULL, Kurs Entity-Relationship Model (ERM) Logical Schema Design Email Char(40));(KID CHAR(10) PRIMARY KEY, Name CHAR(40) NOT NULL, Dauer INTEGER); CREATE TABLE Order 2.2.3 Conceptual DB design: basics ODate DATE soldBy INTEGER FOREIGN KEY REFEREBCES Peronal(PID) 2.2.4 From Requirements to Models CID INTEGER FOREIGN KEY REFERENCES Customer (CID)); Physical Schema Design -> Access paths References: Kemper / Eickler chap 2, Elmasri / Navathe chap. 3 Administration Garcia-Molina / Ullmann / Widom: chap. 2 © HS-2009 Redesign 02-DBS-Conceptual-2 Database Design:Terminology 2.1.2 Requirement Analysis Most important: talk with your customers! Def.: Database Design The process of defining the overall structure of a database, Tasks during RA: i.e. the schema, on different layers of abstraction. Identify essential "real world" information (e.g. Design levels: Conceptual, logical, physical interviews) Remove redundant, unimportant details Includes "Analysis" and "Design" from SE Clarify unclear natural language statements DB Modeling: defining the "static model" using formal or visual languages Fill remaining gaps in discussions Distinguish data and operations DB SE Requirements Requirements Conceptual modeling Analysis Requirement analysis & Conceptual Design aims at Logical modeling Design focusing thoughts and discussions ! Physical modeling Implementation © HS-2009 02-DBS-Conceptual-3 © HS-2009 02-DBS-Conceptual-4 Example: Geo-DB Requirement Analysis The database we develop will contain data about countries, cities, Clarify unclear statements organizations and geographical facts. -
Unlocking the Full Potential of the Cray XK7 Accelerator
Unlocking the Full Potential of the Cray XK7 Accelerator ∗ † Mark D. Klein , and, John E. Stone ∗National Center for Supercomputing Application, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA †Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA Abstract—The Cray XK7 includes NVIDIA GPUs for ac- [2], [3], [4], and for high fidelity movie renderings with the celeration of computing workloads, but the standard XK7 HVR volume rendering software.2 In one example, the total system software inhibits the GPUs from accelerating OpenGL turnaround time for an HVR movie rendering of a trillion- and related graphics-specific functions. We have changed the operating mode of the XK7 GPU firmware, developed a custom cell inertial confinement fusion simulation [5] was reduced X11 stack, and worked with Cray to acquire an alternate driver from an estimate of over a month for data transfer to and package from NVIDIA in order to allow users to render and rendering on a conventional visualization cluster down to post-process their data directly on Blue Waters. Users are able just one day when rendered locally using 128 XK7 nodes to use NVIDIA’s hardware OpenGL implementation which has on Blue Waters. The fully-graphics-enabled GPU state is many features not available in software rasterizers. By elim- inating the transfer of data to external visualization clusters, currently considered an unsupported mode of operation by time-to-solution for users has been improved tremendously. In Cray, and to our knowledge Blue Waters is presently the one case, XK7 OpenGL rendering has cut turnaround time only Cray system currently running in this mode. -
This Is Your Presentation Title
Introduction to GPU/Parallel Computing Ioannis E. Venetis University of Patras 1 Introduction to GPU/Parallel Computing www.prace-ri.eu Introduction to High Performance Systems 2 Introduction to GPU/Parallel Computing www.prace-ri.eu Wait, what? Aren’t we here to talk about GPUs? And how to program them with CUDA? Yes, but we need to understand their place and their purpose in modern High Performance Systems This will make it clear when it is beneficial to use them 3 Introduction to GPU/Parallel Computing www.prace-ri.eu Top 500 (June 2017) CPU Accel. Rmax Rpeak Power Rank Site System Cores Cores (TFlop/s) (TFlop/s) (kW) National Sunway TaihuLight - Sunway MPP, Supercomputing Center Sunway SW26010 260C 1.45GHz, 1 10.649.600 - 93.014,6 125.435,9 15.371 in Wuxi Sunway China NRCPC National Super Tianhe-2 (MilkyWay-2) - TH-IVB-FEP Computer Center in Cluster, Intel Xeon E5-2692 12C 2 Guangzhou 2.200GHz, TH Express-2, Intel Xeon 3.120.000 2.736.000 33.862,7 54.902,4 17.808 China Phi 31S1P NUDT Swiss National Piz Daint - Cray XC50, Xeon E5- Supercomputing Centre 2690v3 12C 2.6GHz, Aries interconnect 3 361.760 297.920 19.590,0 25.326,3 2.272 (CSCS) , NVIDIA Tesla P100 Cray Inc. DOE/SC/Oak Ridge Titan - Cray XK7 , Opteron 6274 16C National Laboratory 2.200GHz, Cray Gemini interconnect, 4 560.640 261.632 17.590,0 27.112,5 8.209 United States NVIDIA K20x Cray Inc. DOE/NNSA/LLNL Sequoia - BlueGene/Q, Power BQC 5 United States 16C 1.60 GHz, Custom 1.572.864 - 17.173,2 20.132,7 7.890 4 Introduction to GPU/ParallelIBM Computing www.prace-ri.eu How do -
Design and Implementation of a Standards Based Ecommerce Solution in the Business-To-Business Area
Design and implementation of a standards based eCommerce solution in the business-to-business area Thesis of Andreas Junghans Department of Computer Science Karlsruhe University of Applied Sciences, Germany Written at ISB GmbH, Karlstrasse 52-54, 76133 Karlsruhe 03/01/2000 to 08/31/2000 Supervisor at Karlsruhe University of Applied Sciences: Prof. Klaus Gremminger Co-supervisor: Prof. Dr. Lothar Gmeiner Supervisor at ISB GmbH: Dipl.Inform. Ralph Krause Declaration I have written this thesis independently, solely based on the literature and tools mentioned in the chapters and the appendix. This document - in the current or a similar form - has not and will not be submitted to any other institution apart from the Karlsruhe University of Applied Sciences to receive an academical grade. I would like to thank Ralph Krause and Gerlinde Wiest of ISB GmbH for their support over the last six month, as well as Peter Heil and Frank Nielsen of Heidelberger Druckmaschinen AG for providing informa- tion and suggestions for the requirements analysis. Acknowledgements also go to Christian Schenk for his MiKTEX distribution and the Apache group for their XML tools. Finally, I would like to thank Professor Klaus Gremminger of the Karlsruhe University of Applied Sciences for his supervision of this thesis. Karlsruhe, 3rd of September, 2000 (Andreas Junghans) Contents 1 Introduction 1 1.1 Document conventions ...................................... 1 1.2 Subject of this thesis ....................................... 1 1.3 Rough schedule .......................................... 2 2 Requirements analysis 3 2.1 Tools used ............................................. 3 2.2 Domain requirements ....................................... 3 2.2.1 Clarification of terms ................................... 3 2.2.2 Specific requirements on ”Business to Business” applications ............ -
Requirements Phase
Requirements Phase • Chance of a product being on time and within budget is very slim unless the development team knows what the product should do • To achieve this level the development team must analyze the needs of the client as precisely as possible Ch10 Copyright © 2004 by Eugean 1 Hacopians Requirements Phase • After a clear picture of the problem the development teams can answer the question: – What should the product do? • The process of answering this question lies within the requirements phase Ch10 Copyright © 2004 by Eugean 2 Hacopians Requirements Phase • Common misconceptions are: – During requirement phase the developer must determine what the client wants – The client can be unclear as to what they want – The client may not be able to communicate what they want to the developer • Most clients do not understand the software development process Ch10 Copyright © 2004 by Eugean 3 Hacopians Requirements Elicitation • This process is finding out a client’s requirements • Members of the requirements team must be familiar with the application domain • Requirement analysis is the process of: – Understanding the initial requirements – Refining requirements – Extending requirements Ch10 Copyright © 2004 by Eugean 4 Hacopians Requirements Elicitation • This process starts with several members of the requirements analysis team meeting with several members of the client’s team • It is essential to use the correct terminology or settle on an agreed set – Misunderstanding terminology can result in a faulty product – This could result in -
Hardware Complexity and Software Challenges
Trends in HPC: hardware complexity and software challenges Mike Giles Oxford University Mathematical Institute Oxford e-Research Centre ACCU talk, Oxford June 30, 2015 Mike Giles (Oxford) HPC Trends June 30, 2015 1 / 29 1 { 10? 10 { 100? 100 { 1000? Answer: 4 cores in Intel Core i7 CPU + 384 cores in NVIDIA K1100M GPU! Peak power consumption: 45W for CPU + 45W for GPU Question ?! How many cores in my Dell M3800 laptop? Mike Giles (Oxford) HPC Trends June 30, 2015 2 / 29 Answer: 4 cores in Intel Core i7 CPU + 384 cores in NVIDIA K1100M GPU! Peak power consumption: 45W for CPU + 45W for GPU Question ?! How many cores in my Dell M3800 laptop? 1 { 10? 10 { 100? 100 { 1000? Mike Giles (Oxford) HPC Trends June 30, 2015 2 / 29 Question ?! How many cores in my Dell M3800 laptop? 1 { 10? 10 { 100? 100 { 1000? Answer: 4 cores in Intel Core i7 CPU + 384 cores in NVIDIA K1100M GPU! Peak power consumption: 45W for CPU + 45W for GPU Mike Giles (Oxford) HPC Trends June 30, 2015 2 / 29 Top500 supercomputers Really impressive { 300× more capability in 10 years! Mike Giles (Oxford) HPC Trends June 30, 2015 3 / 29 My personal experience 1982: CDC Cyber 205 (NASA Langley) 1985{89: Alliant FX/8 (MIT) 1989{92: Stellar (MIT) 1990: Thinking Machines CM5 (UTRC) 1987{92: Cray X-MP/Y-MP (NASA Ames, Rolls-Royce) 1993{97: IBM SP2 (Oxford) 1998{2002: SGI Origin (Oxford) 2002 { today: various x86 clusters (Oxford) 2007 { today: various GPU systems/clusters (Oxford) 2011{15: GPU cluster (Emerald @ RAL) 2008 { today: Cray XE6/XC30 (HECToR/ARCHER @ EPCC) 2013 { today: Cray XK7 with GPUs (Titan @ ORNL) Mike Giles (Oxford) HPC Trends June 30, 2015 4 / 29 Top500 supercomputers Power requirements are raising the question of whether this rate of improvement is sustainable. -
Data Quality Requirements Analysis and Modeling December 1992 TDQM-92-03 Richard Y
Published in the Ninth International Conference of Data Engineering Vienna, Austria, April 1993 Data Quality Requirements Analysis and Modeling December 1992 TDQM-92-03 Richard Y. Wang Henry B. Kon Stuart E. Madnick Total Data Quality Management (TDQM) Research Program Room E53-320 Sloan School of Management Massachusetts Institute of Technology Cambridge, MA 02139 USA 617-253-2656 Fax: 617-253-3321 Acknowledgments: Work reported herein has been supported, in part, by MITís Total Data Quality Management (TDQM) Research Program, MITís International Financial Services Research Center (IFSRC), Fujitsu Personal Systems, Inc. and Bull-HN. The authors wish to thank Gretchen Fisher for helping prepare this manuscript. To Appear in the Ninth International Conference on Data Engineering Vienna, Austria April 1993 Data Quality Requirements Analysis and Modeling Richard Y. Wang Henry B. Kon Stuart E. Madnick Sloan School of Management Massachusetts Institute of Technology Cambridge, Mass 02139 [email protected] ABSTRACT Data engineering is the modeling and structuring of data in its design, development and use. An ultimate goal of data engineering is to put quality data in the hands of users. Specifying and ensuring the quality of data, however, is an area in data engineering that has received little attention. In this paper we: (1) establish a set of premises, terms, and definitions for data quality management, and (2) develop a step-by-step methodology for defining and documenting data quality parameters important to users. These quality parameters are used to determine quality indicators, to be tagged to data items, about the data manufacturing process such as data source, creation time, and collection method. -
Business Requirements Analysis Document (BRAD) - Trading Partner Performance Management, Release 1.0.0
Business Requirements Analysis Document (BRAD) - Trading Partner Performance Management, Release 1.0.0 Business Requirements Analysis Document (BRAD) For Trading Partner Performance Management BRAD: 1.0.0 BRG: Trading Partner Performance Management Work Group Date: 7-Nov-2008, Approved 7-Nov-2008, Approved All contents copyright © GS1 2008 Page 1 of 81 Business Requirements Analysis Document (BRAD) - Trading Partner Performance Management, Release 1.0.0 Document Summary Document Item Current Value Document Number 10713 Document Title Business Requirements Analysis Document (BRAD) Date Last Modified 7-Nov-2008 Status Approved Work Group / Chairperson Trading Partner Performance Management / Matt Johnson BRAD Template Version 2.4 Change Request Reference Date of CR Submission to GSMP: CR Submitter(s): Refer to Change Request (CR) Number(s): 13 - Jul – 2007 John Ryu, GS1 07-000283 Document Change History Date of Vers Changed By Reason for Summary of CR # Model Change ion Change Change Build # 31–Oct-2007 0.1.0 John Ryu Initial Draft Section 15 07-000283 N/A 3-Mar–2008 0.2.0 John Ryu Added agreed measures Section 15 Not N/A Matt Johnson Applicable 25-Mar-2008 0.2.2 John Ryu Based on Dallas F2F meeting Section 15 N/A N/A 9-Apr-2008 0.3.0 John Ryu Finalizing for GSMP Meeting on 20080414 Section 15 N/A N/A 11-Apr-2008 0.3.1 John Ryu Based on 20080409 teleconference Section 15 N/A N/A Matt Johnson 22-Apr-2008 0.3.2 John Ryu Based on Brussels F2F Meeting Section 15 N/A N/A 1-May-2008 0.3.3 John Ryu Posting for 60 Day Public Review Section 15 N/A N/A Start May 1 and End on June 30. -
Fault-Based Analysis: How History Can Help Improve Performance and Dependability Requirements for High Assurance Systems
Fault-Based Analysis: How History Can Help Improve Performance and Dependability Requirements for High Assurance Systems Jane Huffman Hayes David M. Pruett Elizabeth Ashlee Holbrook Geocontrol Systems Inies Raphael C.M. Incorporated University of Kentucky Dept. of Computer Science [email protected] [email protected], {ashlee|irchem2}@uky.edu Abstract Related work is discussed in Section 3. Our position is outlined in Section 4 as well as some Performance and dependability requirements are preliminary results. Finally, conclusions and future key to the development of high assurance systems. work round out the paper in Section 5. Fault-based analysis has proven to be a useful tool for detecting and preventing requirement faults 2. Fault-based analysis early in the software life cycle. By tailoring a generic fault taxonomy, one is able to better “The IEEE standard definition of an error is a prevent past mistakes and develop requirements mistake made by a developer. An error may lead to specifications with fewer overall faults. Fewer one or more faults [13]. To understand Fault- faults within the software specification, with Based Analysis (FBA), a look at a related respect to performance and dependability technique, Fault-Based Testing (FBT), is in order. requirements, will result in high assurance systems Fault-based testing generates test data to of improved quality. demonstrate the absence of a set of pre-specified faults. There are numerous FBT techniques. These 1. Introduction use a list of potential faults to generate test cases, generally for unit- and integration-level testing One needs only look to the increasing [20,3]. -
Requirements Analysis Software Requirements
Requirements Analysis Software Requirements AA softwaresoftware (product)(product) requirementrequirementisis aa feature,feature, function,function, capability,capability, oror propertyproperty thatthat aa softwaresoftware productproduct mustmusthave.have. Software Design AAsoftwaresoftware designdesignisis aa specificationspecification ofof aa softwaresoftware systemsystem thatthat programmersprogrammers cancan implementimplement inin code.code. What vs How The traditional way to distinguish requirements from design: What a system is supposed to do is requirements How a system is supposed to do it is design What vs How Problems The what vs. how criterion is probably unworkable: •Other design disciplines do not make this distinction •Understanding needs and constraints must always be the first step in design •The what vs. how criterion does not hold up in practice Requirements vs Design Determining requirements is really the first step of design. RequirementsRequirementsstatestate clientclient needsneeds andand solutionsolution constraints.constraints. DesignsDesignsstatestate problemproblem solutions.solutions. Requirements Phase Activities Problem or requirements analysis Working with clients to understand their needs and the constraints on solutions Requirements Specification Documenting the requirements These activities are logically distinct but usually occur together. Requirements Phase Problems The requirements phase is HARD! There are several reasons for this: • requirements volatility • requirements elicitation problems • language -
Dependability Attributes for Space Computer Systems
DEPENDABILITY ATTRIBUTES FOR SPACE COMPUTER SYSTEMS Romani, M.A.S., [email protected] Lahoz, C.H.N., [email protected] Institute of Aeronautics and Space (IAE), São José dos Campos, São Paulo, Brazil Yano, E.T., [email protected] Technological Institute of Aeronautics (ITA), São José dos Campos, São Paulo, Brazil Abstract. Computer systems are increasingly used in critical applications in the space area where a failure can have serious consequences such as loss of mission, properties or lives. One way to improve quality of space computer projects is through the use of dependability attributes such as reliability, availability, safety, etc. to assist the identification of non-functional requirements. This work presents and discusses a minimum set of dependability attributes, selected for software applications, to be used in space projects. These attributes resulted from a research carried out on factors extracted from practices, standards and safety models both from international institutions of the aerospace field such as ESA, NASA and MOD (UK Ministry of Defense), as well as renowned authors in the area. An example illustrates the use of dependability attributes to identify dependability requirements. Keywords: dependability, requirements specification, software quality, space systems 1. INTRODUCTION Computer systems are increasingly used in space, whether in launch vehicles, satellites, and ground support and payload systems. Due to this fact, the software applications used in these systems have become more complex, mainly due to the high number of features to be met, thus contributing to a greater probability of hazards occurrence in a project. Pisacane (2005) emphasizes that spacecraft computer systems require space-qualified microcomputers, memories, and interface devices.