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Hexagon Annual Report 2019
Annual Report 2019 Empower an autonomous future Table of contents 2019 in brief 1 About this report Hexagon in brief 2 The audited annual accounts and consolidated accounts Business overview 4 can be found on pages 14–20 and 32–72. The corporate gov- Letter from the President & CEO 6 ernance report examined by the auditors can be found on pages 21–25. Strategy 8 Financial plan 12 Other financial targets 13 Sustainability Report 2019 Board of Directors’ Report 14 Empower an autonomous future Corporate Governance Report 21 Letter from the Chairman of the Board 27 The sustainability report has been Board of Directors 28 reviewed by the auditors for compli- ance with the Annual Accounts Act Group Management 30 and can be found on: Managing risks 32 investors.hexagon.com Consolidated Income Statement 40 Consolidated Statement of Comprehensive Income 40 Consolidated Balance Sheet 41 HxGN LIVE HxGN TV HxGN RADIO HxGN BLOG Consolidated Statement of Changes in Equity 42 Consolidated Statement of Cash Flows 43 Parent Company Income Statement 44 Parent Company Statement of Comprehensive Income 44 EXPERIENCE WATCH LISTEN READ Parent Company Balance Sheet 45 hxgnlive.com hxgnspotlight.com Parent Company Statement of Changes in Equity 46 FOLLOW US ON SOCIAL MEDIA Parent Company Statement of Cash Flows 46 Notes 47 Signing of the annual report 72 hexagon.com Auditor’s report 73 The share 77 Quarterly Income Statements 80 10-Year Summary 81 Financial definitions 82 Business definitions 83 Currency codes 83 Information for shareholders 84 Hexagon AB is a Swedish public limited liability company with corporate This report contains forward-looking statements based on Hexagon registration number 556190-4771. -
SIMD Extensions
SIMD Extensions PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sat, 12 May 2012 17:14:46 UTC Contents Articles SIMD 1 MMX (instruction set) 6 3DNow! 8 Streaming SIMD Extensions 12 SSE2 16 SSE3 18 SSSE3 20 SSE4 22 SSE5 26 Advanced Vector Extensions 28 CVT16 instruction set 31 XOP instruction set 31 References Article Sources and Contributors 33 Image Sources, Licenses and Contributors 34 Article Licenses License 35 SIMD 1 SIMD Single instruction Multiple instruction Single data SISD MISD Multiple data SIMD MIMD Single instruction, multiple data (SIMD), is a class of parallel computers in Flynn's taxonomy. It describes computers with multiple processing elements that perform the same operation on multiple data simultaneously. Thus, such machines exploit data level parallelism. History The first use of SIMD instructions was in vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC, which could operate on a vector of data with a single instruction. Vector processing was especially popularized by Cray in the 1970s and 1980s. Vector-processing architectures are now considered separate from SIMD machines, based on the fact that vector machines processed the vectors one word at a time through pipelined processors (though still based on a single instruction), whereas modern SIMD machines process all elements of the vector simultaneously.[1] The first era of modern SIMD machines was characterized by massively parallel processing-style supercomputers such as the Thinking Machines CM-1 and CM-2. These machines had many limited-functionality processors that would work in parallel. -
Tecnomatix Plant Simulation Assembly Library
Plant Simulation Assembly Library Model, simulate, animate and evaluate manufacturing assembly processes Benefits Summary • Provides task-specific objects The Tecnomatix® software’s Plant Simulation Assembly Library enables you to that have been tested and digitally model a manufacturing facility’s assembly processes so that you can optimized to support evaluate the characteristics and performance of these processes long before complex assembly operations they are deployed in an actual production system. You can use the library’s • Facilitates up to 5 times intelligent objects to quickly and efficiently model complete assembly faster and more detailed systems. The library’s objects provide customizable and flexible building modeling blocks that you can easily use to increase both the speed and accuracy of • Increases productivity and your assembly modeling. improves the efficiency of your plant design and optimization activities • Enables you to evaluate more plant design scenarios and assess more complex alternatives • Provides objects that are both easy to learn and use, as well as flexibly adaptable when new or unforeseen tasks arise Plant Simulation 3D assembly visualization includest manual operations, shift models, lot sizing, setup strategy and different worker logic to handle product failures (rework), machine breakdowns and priority products (fast runner). The Plant Simulation Assembly Library enables you to create well-structured, hierarchical models of a facility’s assembly lines and assembly systems. You can use these models to simulate, animate and evaluate both basic and complex assembly processes. TECNOMATIX www.siemens.com/tecnomatix TECNOMATIX Plant Simulation Assembly Library Features processes, relieve process bottlenecks be flexible enough to account for these key • Assembly-specific statistics and evaluate the impact of different characteristics, as well as to account for • Attribute-dependent production variations (including different unexpected considerations and complex assembly line production control strategies). -
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 -
Intergraph Corporationcorporation
IntergraphIntergraph CorporationCorporation Investor Presentation August 15, 2006 Forward-Looking Statements This presentation contains forward-looking statements (all statements other than those made solely with respect to historical fact) within the meaning of the Private Securities Litigation Reform Act of 1995 including, but not limited to, any projections or expectations regarding future results, including revenue, operating income levels, margins, and cash flows; expectations regarding future market conditions; and the Company's organizational realignment and cost reduction efforts, and their anticipated impact on the Company and its divisions and business units; information regarding the development, timing of introduction, exportability, and performance of new products; the Company's ability to win new orders and any statements of the plans, strategies, expectations, and objectives of management for future operations. Forward-looking statements are subject to known and unknown risks and uncertainties (some of which are beyond the Company's control) that could cause actual results to differ materially from those anticipated in the forward-looking statements. Factors that could cause or contribute to such differences include, but are not limited to the risk factors identified in our annual report on Form 10-K, potential adverse outcomes in our efforts to improve our operating performance and increase revenue (including uncertainties with respect to the timing and magnitude of any expected improvements); potential adverse outcomes -
A GPU Approach to Fortran Legacy Systems
A GPU Approach to Fortran Legacy Systems Mariano M¶endez,Fernando G. Tinetti¤ III-LIDI, Facultad de Inform¶atica,UNLP 50 y 120, 1900, La Plata Argentina Technical Report PLA-001-2012y October 2012 Abstract A large number of Fortran legacy programs are still running in production environments, and most of these applications are running sequentially. Multi- and Many- core architectures are established as (almost) the only processing hardware available, and new programming techniques that take advantage of these architectures are necessary. In this report, we will explore the impact of applying some of these techniques into legacy Fortran source code. Furthermore, we have measured the impact in the program performance introduced by each technique. The OpenACC standard has resulted in one of the most interesting techniques to be used on Fortran Legacy source code that brings speed up while requiring minimum source code changes. 1 Introduction Even though the concept of legacy software systems is widely known among developers, there is not a unique de¯nition about of what a legacy software system is. There are di®erent viewpoints on how to describe a legacy system. Di®erent de¯nitions make di®erent levels of emphasis on di®erent character- istics, e.g.: a) \The main thing that distinguishes legacy code from non-legacy code is tests, or rather a lack of tests" [15], b) \Legacy Software is critical software that cannot be modi¯ed e±ciently" [10], c) \Any information system that signi¯cantly resists modi¯cation and evolution to meet new and constantly changing business requirements." [7], d) \large software systems that we don't know how to cope with but that are vital to our organization. -
In Engineering Education
Integrated Model-based Systems Engineering (iMBSE) in Engineering Education Hazim El-Mounayri, Purdue School of Engineering & Technology, IUPUI Initiative for Product Lifecycle Innovation (IPLI), IUPUI MBSE Lightning Round www.incose.org/iw2021/ Outline 1. Rationale 1. Product development: Modern products 2. Current practice in Academia: Capstone Design Limitations in Engineering programs (ME, EnE, EE, CE, BME, IE, etc.) 3. Document based Systems Engineering: Current limitation 2. iMBSE: 3D extension of Capstone Design & Digitalization of SE 1. iMBSE characteristics & modern products 2. 3D extension of Capstone Design 3. Curriculum for Industry 4.0: Engineering Education 4.0 1. 3 Level curriculum 2. Revised curriculum (for Engineering Education 4.0) 4. iMBSE: Framework & Digital innovation platform for Industry 4.0 1. Proposed iMBSE framework 2. Digital Innovation platform for Industry 4.0 5. Case study: Electric skateboard MBSE Lightning 6. Summary & conclusions Round www.incose.org/iw2021/ 2 Rationale → Product Development → Modern Products Modern products are increasingly becoming complex, typically smart connected systems or systems of systems (SoS). To develop modern products competitively, there is need to address complexities resulting from: ….managing: ….dealing with: Example of modern product: Multi- • Multiple sub-systems • Subsystems interactions domain, multi-subsystems, etc. SoS • Multiple engineering domains • System integration • Multiple variants and system architectures • Growth of software / electronic systems • Exploding -
Annual Report 2019 Empower an Autonomous Future Table of Contents
Annual Report 2019 Empower an autonomous future Table of contents 2019 in brief 1 About this report Hexagon in brief 2 The audited annual accounts and consolidated accounts Business overview 4 can be found on pages 14–20 and 32–72. The corporate gov- Letter from the President & CEO 6 ernance report examined by the auditors can be found on pages 21–25. Strategy 8 Financial plan 12 Other financial targets 13 Sustainability Report 2019 Board of Directors’ Report 14 Empower an autonomous future Corporate Governance Report 21 Letter from the Chairman of the Board 27 The sustainability report has been Board of Directors 28 reviewed by the auditors for compli- ance with the Annual Accounts Act Group Management 30 and can be found on: Managing risks 32 investors.hexagon.com Consolidated Income Statement 40 Consolidated Statement of Comprehensive Income 40 Consolidated Balance Sheet 41 HxGN LIVE HxGN TV HxGN RADIO HxGN BLOG Consolidated Statement of Changes in Equity 42 Consolidated Statement of Cash Flows 43 Parent Company Income Statement 44 Parent Company Statement of Comprehensive Income 44 EXPERIENCE WATCH LISTEN READ Parent Company Balance Sheet 45 hxgnlive.com hxgnspotlight.com Parent Company Statement of Changes in Equity 46 FOLLOW US ON SOCIAL MEDIA Parent Company Statement of Cash Flows 46 Notes 47 Signing of the annual report 72 hexagon.com Auditor’s report 73 The share 77 Quarterly Income Statements 80 10-Year Summary 81 Financial definitions 82 Business definitions 83 Currency codes 83 Information for shareholders 84 Hexagon AB is a Swedish public limited liability company with corporate This report contains forward-looking statements based on Hexagon registration number 556190-4771. -
NVIDIA's Fermi: the First Complete GPU Computing Architecture
NVIDIA’s Fermi: The First Complete GPU Computing Architecture A white paper by Peter N. Glaskowsky Prepared under contract with NVIDIA Corporation Copyright © September 2009, Peter N. Glaskowsky Peter N. Glaskowsky is a consulting computer architect, technology analyst, and professional blogger in Silicon Valley. Glaskowsky was the principal system architect of chip startup Montalvo Systems. Earlier, he was Editor in Chief of the award-winning industry newsletter Microprocessor Report. Glaskowsky writes the Speeds and Feeds blog for the CNET Blog Network: http://www.speedsnfeeds.com/ This document is licensed under the Creative Commons Attribution ShareAlike 3.0 License. In short: you are free to share and make derivative works of the file under the conditions that you appropriately attribute it, and that you distribute it only under a license identical to this one. http://creativecommons.org/licenses/by-sa/3.0/ Company and product names may be trademarks of the respective companies with which they are associated. 2 Executive Summary After 38 years of rapid progress, conventional microprocessor technology is beginning to see diminishing returns. The pace of improvement in clock speeds and architectural sophistication is slowing, and while single-threaded performance continues to improve, the focus has shifted to multicore designs. These too are reaching practical limits for personal computing; a quad-core CPU isn’t worth twice the price of a dual-core, and chips with even higher core counts aren’t likely to be a major driver of value in future PCs. CPUs will never go away, but GPUs are assuming a more prominent role in PC system architecture. -
Comparative Study of High Performance Software Rasterization Techniques
MATHEMATICA MONTISNIGRI Vol XLVII (2020) COMPARATIVE STUDY OF HIGH PERFORMANCE SOFTWARE RASTERIZATION TECHNIQUES V. F. FROLOV1;2, V. A. GALAKTIONOV1;∗ AND B. H. BARLADYAN1 1Keldysh Institute of Applied Mathematics of RAS, Miusskaya Sq. 4, Moscow, Russia, 125047 2Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russian Federation *Corresponding author. E-mail: [email protected], web page: http://keldysh.ru/ DOI: 10.20948/mathmontis-2020-47-13 Abstract. This paper provides a comparative study and performance analysis of different rasterization algorithms and approaches. Unlike many other papers, we don't focus on rasterization itself, but investigate complete graphics pipeline with 3D transfor- mations, Z-buffer, perspective correction and texturing that, on the one hand, allow us to implement a useful subset of OpenGL functionality and, on the other hand, consider various bottlenecks in the graphics pipeline and how different approaches manage them. Our ultimate goal is to find a scalable rasterizer technique that on the one hand effectively uses current CPUs and on the other hand is accelerating with the extensive development of hardware. We explore the capabilities of scan-line and half-space algorithms raster- ization, investigate different memory layout for frame buffer data, study the possibility of instruction-level and thread-level parallelism to be applied. We also study relative efficiency of different CPU architectures (in-order CPUs vs out-of-order CPUs) for the graphics pipeline implementation and tested our solution with x64, ARMv7 and ARMv8 instruction sets. We were able to propose an approach that could outperform highly op- timized OpenSWR rasterizer for small triangles. -
Ultrasound Imaging Augmented 3D Flow Reconstruction and Computational Fluid Dynamics Simulation
Imperial College of Science, Technology and Medicine Royal School of Mines Department of Bioengineering Ultrasound Imaging Augmented 3D Flow Reconstruction and Computational Fluid Dynamics Simulation by Xinhuan Zhou A thesis submitted for the degree of Doctor of Philosophy of Imperial College London October 2019 1 Abstract Abstract Cardiovascular Diseases (CVD), including stroke, coronary/peripheral artery diseases, are currently the leading cause of mortality globally. CVD are usually correlated to abnormal blood flow and vessel wall shear stress, and fast/accurate patient-specific 3D blood flow quantification can provide clinicians/researchers the insights/knowledge for better understanding, prediction, detection and treatment of CVD. Experimental methods including mainly ultrasound (US) Vector Flow Imaging (VFI), and Computational Fluid Dynamics (CFD) are usually employed for blood flow quantification. However current US methods are mainly 1D or 2D, noisy, can only obtain velocities at sparse positions in 3D, and thus have difficulties providing information required for research and clinical diagnosis. On the other hand while CFD is the current standard for 3D blood flow quantification it is usually computationally expensive and suffers from compromised accuracy due to uncertainties in the CFD input, e.g., blood flow boundary/initial condition and vessel geometry. To bridge the current gap between the clinical needs of 3D blood flow quantification and measurement technologies, this thesis aims at: 1) developing a fast and accurate -
What's New and Cool in Plant Design and Optimization
What’s new and cool in Plant Design and Optimization Tecnomatix: Further enhancements for the Plant Design and Optimization solution Benefits Summary • Effective communication of Tecnomatix® Plant Design and Optimization delivers significant design principles manufacturing productivity gains. This solution enables you to create • Enhanced cross-functional factories faster through the use of virtual models, ensuring that your team communication factories are operating at peak efficiency before production ramp-up. The • Globalized workflow and Plant Design and Optimization solution includes enhancements across its four release management major products, including FactoryCAD, FactoryFLOW, Plant Simulation and • 50 percent reduction in In-Context Editor (ICE). factory design time as compared to 2D methods 3D factory design and visualization (FactoryCAD) • 15 percent reduction in tooling and equipment Support for native 64-bit eliminates memory limits FactoryCAD can run in changes a native 64-bit environment, which will improve performance significantly • Optimized re-use of existing when you are working with very large 3D AutoCAD/FactoryCAD datasets. capital equipment • Up to 70 percent reduction in material handling costs • Optimized resource utilization and material flow • Reductions in nonvalue- added work and indirect labor costs • Optimized space utilization at factory and transport levels • 5 to 20 percent reduction in new system costs • 20 to 60 percent decrease in throughput times • 20 to 60 percent reduction in inventory levels • 15 to 20 percent increase in productivity of existing systems TECNOMATIX www.siemens.com/tecnomatix TECNOMATIX What’s new and cool in Plant Design and Optimization amounts of data to be kept in memory for efficient processing. OPC interface OLE for Process Control (OPC) is an industry standard specification for accessing PLC hardware.