Royalties When Our Partners Ship Chips That Contain ARM IP Highly Profitable and Cash Generative

Total Page:16

File Type:pdf, Size:1020Kb

Royalties When Our Partners Ship Chips That Contain ARM IP Highly Profitable and Cash Generative Making progress vs strategy Ian Thornton, Head of Investor Relations Arm is a subsidiary of 1 © 2017 Arm Limited Arm update Arm refresher H1 update – Increasing revenues and investments Progress vs strategy • Arm in servers • AI at the edge • Autonomous vehicles 2 © 2017 Arm Limited ARM overview 33 ©© Arm 2017 2017 Arm Limited Chip design – then and now 1961 Today Four transistors Two billion transistors One engineer Thousands of engineers 4 © 2017 Arm Limited A system-on-chip contains multiple blocks of IP Main processor for running the operating system, applications and user interface Graphics processor for generating images Accelerators for frequently-used compute workloads, e.g. image processing, encryption, vision Radio controllers for mobile, wifi, Bluetooth, GPS Hardware controllers for the display, memory, image sensors, power supply, etc Input/Output interfaces for USB, Ethernet, etc 5 © 2017 Arm Limited ARM’s current business ARM develops intellectual property (IP) blocks which are used in silicon chips Our partners combine ARM IP with their own IP to create complete chip designs We earn license fees when we deliver ARM IP to our partners and royalties when our partners ship chips that contain ARM IP Highly profitable and cash generative 6 © 2017 Arm Limited Accelerating investment Investing to create to increase share gains new revenue streams mbed Cloud Generating mbed Cloud Partners $500m free cash flow (2017 forecast) and growing 7 © 2017 Arm Limited Technology trends that will redefine all industries Artificial Intelligence in Autonomous Augmented Hyperscale cloud every device machines reality and connectivity Security and Privacy 8 © 2017 Arm Limited Arm’s business model Arm develops technology that is licensed to semiconductor companies Arm receives an upfront license fee and a royalty on every chip that contains its technology Business Development 1) Arm licenses 2) Partners develop technology to chips and ship chip Partners them to OEMs Technology SemiCo Arm License Fee Partner Chip shipment OEM Customer Per chip royalty Chip payment 3) OEMs sell products containing Arm-based 9 © 2017 Arm Limited chips Licensing 1010 ©© Arm 2017 2017 Arm Limited Q2 Licensing: 26 is the low-end of the normal range Average Historic licensing = 20 60 Q1 50 Q3 Q2 Q3 Q3 Q2 Q1 11 40 Q1 Q4 Average = 8 Q2 30 Q4 7 Average = 5 Q4 Average Q3 Q2 = 4 Q4 Q1 Q1 4 4 Q2 Average 20 = 1 Year 13 14 15 16 17 0 Classic Cortex-A Cortex-R Cortex-M Mali 11 © 2017 Arm Limited 12 © 2017 Arm Limited DesignStart – Enabling the entire industry to build chips 92 Cortex-M licenses in >1700 Cortex-M downloads 92 to date days in Q2 DesignStart Pro DesignStart Eval Launched end June 2017 Launched end June 2017 License-fee free; royalty bearing No fees. Evaluation only. Optimised for FPGA 13 © 2017 Arm Limited Q2 103 Q2 Licensing: 118 licenses signed? Average Historic licensing = 20 60 Q1 50 Q3 Q2 Q3 Q3 Q2 Q1 40 Q1 Q4 Average = 8 Q2 30 Q4 7 Average = 5 Q4 Average Q3 = 4 Q4 Q1 Q1 4 4 Q2 Average 20 = 1 Year 13 14 15 16 17 0 Classic Cortex-A Cortex-R Cortex-M Mali 14 © 2017 Arm Limited Royalties 1515 ©© Arm 2017 2017 Arm Limited Industry growth vs Arm growth (for Q2 2017) $190bn $80bn $0.5bn Overall Relevant Arm Semiconductor Semiconductor Royalty Industry Industry Revenue +29% +21% +19% +16% +11% +9% Value Volume Value Volume Value Volume ($) # chips ($) # chips ($) # chips Strong growth in memory Strong growth in MCUs; Arm gaining share in embedded and graphics for data centre slower growth in apps Royalty rate increasing for mobile 16 © 2017 Arm Limited Is declining average royalty revenue per chip a concern? Average royalty per chip 10.0c 8.0c 6.0c 4.0c 2.0c 0.0c 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Drivers of average • Chip related: Average sales price of the chip; Arm content per chip • Arm related: Average royalty rate per processor; increased content multipliers Second • Customer mix related: Which customers are winning share • Market mix related: Which markets are growing fastest Biggest impact on average over the long term 17 © 2017 Arm Limited Is declining average royalty revenue per chip a concern? Average royalty per chip 10.0c 8.0c 6.0c 4.0c 2.0c 0.0c 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Cortex-M Cortex-A 8.0bn 8.0bn 7.0bn 7.0bn 6.0bn 6.0bn 5.0bn 5.0bn 4.0bn 4.0bn 3.0bn 3.0bn 2.0bn 2.0bn 1.0bn 1.0bn 0.0bn 0.0bn 18 © 2017 Arm2006 Limited2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Investments Profitability 1919 ©© Arm 2017 2017 Arm Limited Investing in engineering to increase productive output Arm recruitment is running at around +1,100 2x previous run rate +586 +608 +488 Focus on retaining quality as well as +388 +329 quantity; and on cultural and organisational integration Will need to sustain this run rate for next 2-3 years 20 © 2017 Arm Limited Investing in people, infrastructure to create new products Costs were higher in H1 2017 as Arm expands R&D capability (£10m) £493m Future cost increases are expected to be £20m consistent with increases in headcount £41m £49m £25m £66m £301m * Share-based compensation was previously included in IFRS “other costs” H1 2016 24% increase Increased Reclass Bonus and Impact of Unwinding H1 2017 in headcount IT, facilities of share- replacement weaker bad debt Costs and other based comp scheme sterling provision Costs 21 © 2017 Arm Limited investments comp* Revenues, profits and profitability Investment strategy H1 £1,400m only 45% Over the past 10 years Arm's Revenue Total Costs revenues grew faster than costs 40% £1,200m IFRS EBIT IFRS Margin 35% £1,000m 30% H1 2017 vs H1 2016 £800m 25% • Revenues +17% 20% £600m • Headcount +24% 15% £400m • Costs +64% 10% £200m • Profits -39% 5% • IFRS Margin * 18% vs 35% £0m 0% 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 H1 2017 Fiscal years * Excluding impact of currency fluctuations as USD/GBP went from 1.27 to 1.32 This contributed to £37m of non-cash costs due to revaluation of long-term contracts. Including these IFRS Margin would be 12%. Note: Excludes certain one-offs - 2013: Write down of MIPS patents (£100m) 22 © 2017 Arm Limited - 2016: Execution costs associated with SoftBank acquisition Progress vs strategy 2323 ©© Arm 2017 2017 Arm Limited Arm in servers 24 © 2017 Arm Limited Server market is changing Server Processor TAM ($) $25bn Standard enterprise $20bn $15bn High-performance computing $10bn $5bn Cloud $0bn 2016 2017 2018 2019 2020 2021 Cloud HPC Standard Server ARM focused on Cloud/HPC 25 © 2017 Arm Limited Arm’s strategy to win share in servers Partnership and collaboration Arm technology Chip Software End user systems Beta First generation Testing Arm v8.0-A No commercial silicon Proof of concepts support Start date: 2008 2010 2012 2014 Arm technology Chip Software End user systems Arm-based chips available from Commercially Production Arm v8.4-A multiple vendors available deployments Latest status: 2017 2017 2017 2017 26 © 2017 Arm Limited Arm technology Arm v7-A Arm v8.0-A Arm v8.2-A Arm v8.4-A Cortex-A15 Cortex-A72 Future Future Cortex-A9 Cortex-A57 Cortex-A75 Future Cortex-A7 Cortex-A53 Cortex-A55 Future Cortex-A5 Cortex-A35 Future Future Architecture released 2004 2011 2015 2017 Multi-core processing 64-bit computing Improved multimedia To be announced Multimedia acceleration Improved multi-core Improved multi-core New Capability Improved multimedia Improved error management Acceleration for AI/ML Acceleration for virtualisation 27 © 2017 Arm Limited Arm-based chips available from multiple vendors 28 © 2017 Arm Limited Arm silicon is competitive with current technology Performance Performance per thread https://www.qualcomm.com/media/documents/qualcomm-centriq-2400-media-deck. 29 © 2017 Arm Limited Performance per Watt Performance per dollar Qualcomm Centriq 2400 processors Arm server software is commercially available All the major open source operating systems are now commercially available for Arm-based servers 30 © 2017 Arm Limited Arm servers are being deployed by cloud companies 31 © 2017 Arm Limited Artifical intelligence at the edge © 2017 Arm Limited Distributing intelligence everywhere Mobile Automotive Robotics Drones Home, surveillance IoT & analytics VR/MR Shipping & logistics 33 © 2017 Arm Limited 34 © 2017 Arm Limited From the cloud to the edge Security Privacy Latency Bandwidth Power and Cost 35 © 2017 Arm Limited Heterogeneity is necessary DSP DSP DSP There is no one size fits all solution DSP DSP DSP Need multiple types of processors to handle this DSP DSP DSP Fixed function works when requirements known in advance, algorithm is well understood, and CPU big CPU big FPGA high performance needed CPU CPU DSP Little Little Programmable cores are essential GPU GPU Acc 36 © 2017 Arm Limited Arm’s approach to AI Machine Learning applications Domain-specific libraries + ML frameworks: TensorFlow, Caffe, MXNet, etc. Tools and libraries from Arm CPUs + GPUs + ISPs + CV engines DSP FPGA ACC 37 © 2017 Arm Limited ARM DynamIQ – Multicore redefined Redesigned memory Advanced compute New single cluster design Greater flexibility sub-system capabilities 38 © 2017 Arm Limited Journey of the autonomous automotive 39 © 2017 Arm Limited “90% of automotive innovation comes from electronics (semiconductors) and software.” – Audi at CES Asia 40 © 2017 Arm Limited Cars run on code F-35 24 Windows 10 60 US Army future combat system 63 Facebook 65 Luxury car in 2010 (IVI) 100 Luxury car in 2016 (+ADAS) 150 Luxury car in 2020 (L3 autonomy) 300~ All Google services 2000 Million lines of code 41 © 2017 Arm Limited Automotive compute in 2020 Cockpit Connected Gateways ~50,000 DMIPS ~20,000 DMIPS Audio Visual, Maps, Traffic, Toll LTE 5G, WiFi, Bluetooth High-end smartphone payment, Google services connecting to CAN FD, LIN, Flexray, Body Electronics 30,000-50,000 DMIPS Rear entertainment, Voice recognition, Ethernet <10,000 DMIPS Main applications processor, Gesture control, Cluster and HUD HVAC, Lighting, Doors, Electric WiFi, modem, sensors, etc.
Recommended publications
  • A Viga T Ing R T Ificia L N Te Ll Igence
    July 24, 2018 Semiconductor Get real with artificial intelligence (AI) "Seriously, do you think you could actually purchase one of my kind in Walmart, say in the next 10 years?" NTELLIGENCE I "You do?! You'd better read this report from RTIFICIAL RTIFICIAL cover to cover, and I assure you Peter is not being funny at all this time." A ■ Fantasies remain in Star Trek. Let’s talk about practical AI technologies. ■ There are practical limitations in using today’s technology to realise AI elegantly. ■ AI is to be enabled by a collaborative ecosystem, likely dominated by “gorillas”. ■ An explosion of innovations in AI is happening to enhance user experience. ■ Rewards will go to the problem solvers that have invested in R&D ahead of others. Analyst(s) AVIGATING AVIGATING Peter CHAN T (82) 2 6730 6128 E [email protected] N IMPORTANT DISCLOSURES, INCLUDING ANY REQUIRED RESEARCH CERTIFICATIONS, ARE PROVIDED AT THE Powered by END OF THIS REPORT. IF THIS REPORT IS DISTRIBUTED IN THE UNITED STATES IT IS DISTRIBUTED BY CIMB the EFA SECURITIES (USA), INC. AND IS CONSIDERED THIRD-PARTY AFFILIATED RESEARCH. Platform Navigating Artificial Intelligence Technology - Semiconductor│July 24, 2018 TABLE OF CONTENTS KEY CHARTS .......................................................................................................................... 4 Executive Summary .................................................................................................................. 5 I. From human to machine .......................................................................................................10
    [Show full text]
  • Agent: STRAUSS, Ryan N. Et Al.; 121 1 SW 5Th Avenue, H04W 72/04 (2009.01) H04W4/40 (2018.01) Suite 1500-1900, Portland, Oregon 97204 (US)
    ( (51) International Patent Classification: (74) Agent: STRAUSS, Ryan N. et al.; 121 1 SW 5th Avenue, H04W 72/04 (2009.01) H04W4/40 (2018.01) Suite 1500-1900, Portland, Oregon 97204 (US). (21) International Application Number: (81) Designated States (unless otherwise indicated, for every PCT/US20 19/035597 kind of national protection av ailable) . AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, (22) International Filing Date: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, 05 June 2019 (05.06.2019) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (25) Filing Language: English HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (26) Publication Language: English MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, (30) Priority Data: OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, 62/682,732 08 June 2018 (08.06.2018) US SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (71) Applicant: INTEL CORPORATION [US/US]; 2200 Mission College Boulevard, Santa Clara, California 95054 (84) Designated States (unless otherwise indicated, for every (US). kind of regional protection available) . ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (72) Inventors: MUECK, Markus Dominik; Jaegerstrasse 4b, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 82008 Unterhaching (DE).
    [Show full text]
  • 610456 Confidentiality
    D7.9 Review of Industry trends – Competitive analysis Project No: 610456 D7.9 Review of Industry trends – Competitive analysis February 28th, 2017 Abstract: This deliverable provides an update on the competitive analysis performed by the EUROSERVER consortium. As of the time of writing, it is clear that it has not been easy to commercialise ARM-based micro-servers, and many large companies have been unable to bring a viable solution to market. The remaining providers that already have or intend to launch server-ready products are Qualcomm and Cavium. The decision by Fujitsu and RIKEN to base the Post-K supercomputer on the ARM architecture is a positive development. Document Manager: John Thomson (Editor) Authors AFFILIATION John Thomson OnApp Ltd. (ONAPP) Paul Carpenter Barcelona Supercomputing Center (BSC) Manolis Katevenis, Iakovos Mavroidis FORTH Denis Dutoit CEA Internal Reviewers Per Stenstrom CHALMERS Isabelle Dor CEA Document Id N°: Version: 0.7 Date: 28/2/2017 Filename: Euroserver_D7.9_v0.7.docx Confidentiality This document is public and was produced by EUROSERVER contractors. Some of the graphics and information belongs to third-parties and this information is highlighted where appropriate. The commercial use of any information contained in this document may require a license from the proprietor of that information. Page 1 of 23 This document is Public, and was produced under the EUROSERVER project (EC contract 610456). D7.9 Review of Industry trends – Competitive analysis The EUROSERVER Consortium consists of the following
    [Show full text]
  • United States District Court Eastern District of Texas Marshall Division
    Case 2:19-cv-00056 Document 1 Filed 02/14/19 Page 1 of 19 PageID #: 1 UNITED STATES DISTRICT COURT EASTERN DISTRICT OF TEXAS MARSHALL DIVISION KIPB LLC, Plaintiff, v. Case No. 2:19-cv-00056 SAMSUNG ELECTRONICS CO., LTD.; SAMSUNG ELECTRONICS AMERICA, INC.; JURY TRIAL DEMANDED SAMSUNG SEMICONDUCTOR, INC.; SAMSUNG AUSTIN SEMICONDUCTOR, LLC; AND QUALCOMM GLOBAL TRADING PTE. LTD., Defendants. COMPLAINT FOR PATENT INFRINGEMENT Plaintiff KIPB LLC, formerly known as KAIST IP US LLC (“KAIST IP US”), hereby alleges infringement of United States Patent No. 6,885,055 (the “ʼ055 Patent”) against Defendants Samsung Electronics Co., Ltd. (“SEC”), Samsung Electronics America, Inc. (“SEA”), Samsung Semiconductor, Inc. (“SSI”), and Samsung Austin Semiconductor LLC (“SAS”) (collectively, “Samsung”), and Qualcomm Global Trading Pte. Ltd. (“Qualcomm”), as follows: THE PARTIES 1. Plaintiff KAIST IP US is a corporation organized and existing under the laws of the State of Texas, having a principal place of business at 2591 Dallas Parkway, Frisco, Texas 75034. 2. Defendant SEC is a corporation organized and existing under the laws of the Republic of Korea, and located at 129 Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 1 30379890 Case 2:19-cv-00056 Document 1 Filed 02/14/19 Page 2 of 19 PageID #: 2 Republic of Korea. 3. Defendant SEA is a corporation organized and existing under the laws of the state of New York, with corporate offices in the Eastern District of Texas at 1301 E. Lookout Drive, Richardson, Texas 75082, and 2800 Technology Drive, Suite 200, Plano, Texas 75074. Defendant SEA may be served with process through its registered agent CT Corporation System, 1999 Bryan St., Ste.
    [Show full text]
  • Prototype Eclipse OMR Port Performance Evaluation on Aarch64
    Prototype Eclipse OMR Port Performance Evaluation on AArch64 by Jean-Philippe Legault Bachelor with Honors of Computer Science, UNB, 2018 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Computer Science In the Graduate Academic Unit of Computer Science Supervisor(s): Kenneth B. Kent, Ph.D., Computer Science Examining Board: Gerhard Dueck, Ph.D., Computer Science, Chair Panos Patros, Ph.D., Computer Science Julian Cardenas-Barrera, Ph.D., ECE This thesis is accepted by the Dean of Graduate Studies THE UNIVERSITY OF NEW BRUNSWICK November, 2020 ©Jean-Philippe Legault, 2021 Abstract This thesis discusses the steps taken to build the prototype Eclipse OMR port to the AArch64 architecture. The AArch64 OMR port is evaluated using Eclipse OpenJ9 against an AMD64 counter-part (similar cache size and clock speed); The results are used to build a baseline for future research and provide an evaluation framework upon which further enhancements to the platform can be compared. This thesis also reviews the AArch64 hardware landscape and its suitability for a development platform. AArch64 is reviewed in terms of software availability and ease of use. Developing for embedded devices adds a layer of difficulty to software development that cannot be ignored and this thesis reviews the usability of modern development tools on the AArch64 ISA. This thesis offers an experience review on the AArch64 ISA with modern software as well as the viability of a high-performance runtime on AArch64. ii Acknowledgments I would like to thank Aaron Graham for guidance and help throughout the project. Without his support, both as a best friend and a coworker, this thesis could never have seen daylight.
    [Show full text]
  • Iii. the Rise of Arm Holdings in the Mobiel Ap Market
    저작자표시-비영리-변경금지 2.0 대한민국 이용자는 아래의 조건을 따르는 경우에 한하여 자유롭게 l 이 저작물을 복제, 배포, 전송, 전시, 공연 및 방송할 수 있습니다. 다음과 같은 조건을 따라야 합니다: 저작자표시. 귀하는 원저작자를 표시하여야 합니다. 비영리. 귀하는 이 저작물을 영리 목적으로 이용할 수 없습니다. 변경금지. 귀하는 이 저작물을 개작, 변형 또는 가공할 수 없습니다. l 귀하는, 이 저작물의 재이용이나 배포의 경우, 이 저작물에 적용된 이용허락조건 을 명확하게 나타내어야 합니다. l 저작권자로부터 별도의 허가를 받으면 이러한 조건들은 적용되지 않습니다. 저작권법에 따른 이용자의 권리는 위의 내용에 의하여 영향을 받지 않습니다. 이것은 이용허락규약(Legal Code)을 이해하기 쉽게 요약한 것입니다. Disclaimer 경영학 석사학위논문 Platform Leadership in the Era of Rising Complexity 2018년 8월 서울대학교 대학원 경영학과 경영학전공 정 혁 i ABSTRACT Platform leadership has drawn substantial attention not only from high technology industries, but also from conventional industries. We examine two cases of platform leadership in semiconductors to shed light on the questions of why some platform leaders do better than others, and why existing platform leaders sometimes fail. As the number of transistors on a chip doubles every two years for more than a half-century, semiconductor companies face rising complexity in designing their chips. When the number of transistors on a chip increased into the tens of millions in the 1990s, chip design process had become extremely difficult. Our study shows that in the face of the rising complexity, successful platform leaders figured out what to overlook, while focusing on what they could do best. They built their ecosystems based on their strengths and encouraged other firms to do business by embracing their ecosystems.
    [Show full text]
  • Qualcomm Incorporated Qualcomm QCOM) U.S
    Qualcomm Incorporated Qualcomm QCOM) U.S. Technology Communication Equipment Price: $52.78 Recommendation: 1/14/18 Target: $76.03 Discount [Price + Archetypal Graham / Buffett Value Check for QCOM QCOM is the largest communication equipment company in the world with 3,000+ patents and a pioneer of 3G/4G/5G technologies. The company’s stock pays a dividend (4.31% yield) and is currently selling at an astonishingly cheap multiple of 10.8X (one year forward P/E). Street’s overreaction over multiple lawsuits filed by its biggest customer Apple and over some antitrust litigation has led to the recent decline in the price of QCOM shares. However, QCOM’s brand, product pipeline, market position and recent acquisition of NXP semiconductors equate to an unparalleled moat for the company. The firm’s balance sheet, with every information already sync’d in, is still very strong even in the midst of all the controversies over its Pandora’s box full of lawsuit’s. QCOM’s share value not only will see the light of the day but also will go only up from here with an anticipated explosive growth rate in smartphones and Internet-of-things (IoT) of CAGR 20% and 13.2% respectively. Growth Catalysts to “POWER-Up” Shares in 2017 ♦ “Hyper-trending” & “glaring” Valuation prospects: QCOM is cheaper than it has ever been on a Forward P/E basis of 10.8X Vs 10YR Average of 31X. It is cheaper than all of its major rivals. The stock’s forward P/E is also well below the industry average (26.9x for Semiconductor).
    [Show full text]
  • Support for PREM on Contemporary Multicore COTS Systems
    Master’s Thesis Czech Technical University in Prague Faculty of Electrical Engineering F3 Department of Control Engineering Support for PREM on contemporary multicore COTS systems Jan Doležal Open Informatics, Computer Engineering [email protected] January 2019 Supervisor: Ing. Joel Matějka Acknowledgement / Declaration My gratitude for support during I hereby declare that the submitted preparations of this work belongs to thesis is exclusively my own work and my supervisor Joel Matějka. I thank that I have listed all used information him especially for his guidance and sources in accordance with the Method- also for his easy-going attitude that ological Guideline on Ethical Principles shifted the fun while creating this work for College Final Work Preparation. to the completely different level. I am In Prague, 8. 1. 2019 very grateful for the support provided by people from the CIIRC’s Industrial Informatics Research Center. Namely I want to thank to Michal Sojka for all the valuable advices. ........................................ iii iv Abstrakt / Abstract Práce přináší podporu pro vyvíjené This work brings support for high- výkonné aplikace reálného času, které performance real-time applications that pro svůj běh využívají vícejádrové běžně run on generic contemporary multicore komerčně dostupné systémy. systems referred to as Commercials Hlavním cílem práce je shrnout me- Off-The-Shelf (COTS) platforms. tody pro zvýšení předvídatelnosti doby The main goal is to summarize the běhu programu a provést testy ná- methods improving the predictability of strojů a hardware, které tyto metody program execution time and to test the využívají. Metody diskutované v této tools and hardware utilizing these meth- práci řeší problémy při konfliktech při ods.
    [Show full text]
  • SUSE Linux ARM BOF SC17 111317
    ARM BOF Jay Kruemcke Sr. Product Manager, HPC, ARM, POWER [email protected] @mr_sles SUSE and the High Performance Computing Ecosystem Partnerships with HPE, Arm, Cavium, Cray, Intel, Microsoft, Dell, Qualcomm, SUSE Linux and others with the HPC Module for Supported HPC packages OpenHPC Community Half of the Top 100 systems are running SUSE Linux* At 13.8%, SUSE Linux is the leader in paid Linux on the Top 500 * Includes CLE which is based on SLES, CentOS has ~18%, RHEL has ~5% 11/26/17 SUSE Linux Enterprise for HPC on ARM 2 SUSE Linux Enterprise Server ARM Roadmap* Offering commercial Linux support for ARM AArch64 since November 2016 SLES 12 for ARM (SP2) SLES 12 for ARM (SP3) SLES 15 •Initial commercial release AArch64 •Second SUSE release for AArch64 •Beta1 now available (X86, ARM, •SoC: Cavium, Xilinx, AMD, others •Additional SoC enablement Power, system z) •Focus on solution enablement •Expand to early adopters •Bi-modal: traditional and CaaSP •Kernel 4.4 •Kernel 4.4 •Simplified management •Toolchain gcc 6.2.1 •Toolchain gcc 6.2.1 -> gcc 7 •Kernel 4.12 •Toolchain gcc 7+ SUSE Enterprise Storage 5 •Ceph software defined storage •X86 and ARM SLES 12 HPC Module SLES 12 HPC Module SLES 12 HPC Module •Supported HPC packages •New packages mpich, munge, •Additional HPC packages •Subset of OpenHPC mv`apich2, numpy, hdf5, papi, •Candidates: adios, metis, ocr, •Initially includes 13 packages openblas, openmpi, netcdf, R, scalasc, spack, scipy, slurm, pdsh, hwloc, etc. SCALapack, … trinilos, …. 2017 2018 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 *All statements
    [Show full text]
  • SUSE Linux Enterprise For
    Jay Kruemcke Sr. Product Manager, HPC, Arm, POWER [email protected] @mr_sles What’s changed in the last year? 1.More capable Arm server chips • New processors from Cavium, Qualcomm, HiSilicon, Ampere 2.Maturing software ecosystem • OpenHPC • ARM Open Source Enablement Council • Ready for ARM • Increasing commercial software enablement 3.Growing market awareness • 2017 SC17 conference • GW4 and Comanche early access projects • ODM vendor activity SUSE Linux Enterprise Server for Arm provides customers with an enterprise-grade Linux distribution optimized for 64-bit Arm servers to deliver outstanding performance, reliability and scalability for data intensive, mission-critical workloads. •SUSE Linux Enterprise Server for ARM enables solution developers and early adopters to: • Accelerate innovation and improve deployment times for a broad choice of open source and partner solutions. • Provide a rock solid mission-critical foundation for emerging 64-bit ARM servers while exploiting unique ARM capabilities for storage, networking and high performance computing • Deliver a high-performance platform to meet increasing business demands with improved application performance, scalability for growth and instant access to data. First release: SLES 12 SP2 in November 2016 SUSE Linux Enterprise Server for Arm releases Offering commercial Linux support for ARM AArch64 since November 2016 SLES 12 for ARM (SP2) SLES 12 for ARM (SP3) SLE 15 • Initial commercial release AArch64 • Second SUSE release for AArch64 • LeanOS • SoC: Cavium, Xilinx, AMD, others •
    [Show full text]
  • Qualcomm Centriq 2400 Server TCO Methodology & Assumptions
    Qualcomm Centriq 2400 Server TCO Methodology & Assumptions Series sponsored by Qualcomm Datacenter Technologies (QDT) Paul Teich Principal Analyst, TIRIAS Research February 2018 Copyright © 2018 TIRIAS Research. All Rights Reserved Qualcomm Centriq 2400 Server TCO Methodology & Assumptions Series sponsored by Qualcomm Datacenter Technologies (QDT) Abstract This document details the methodology and assumptions used in support of a series of TCO comparison papers. Each TCO paper highlights notable differences between servers based on the Qualcomm Centriq 2400 Armv8 instruction set architecture (ISA) system-on-chip (SoC) and the Intel x86 ISA Xeon Scalable processor for each application tested. This document also describes the baseline configurations, commonalities, and differences among both architectures’ underlying hardware and software configurations, as well as the testing methodology and assumptions. The primary target audiences for the TCO comparison papers are cloud IT datacenters with fixed rack-level power delivery, such as mid-sized public cloud, managed services, and hosting datacenters. Contents Abstract ........................................................................................................................................... 1 Contents .......................................................................................................................................... 1 Hardware ........................................................................................................................................
    [Show full text]
  • Multi-Company Report
    November 12, 2017 | Equity Research Chip Weekly: Broadcom Bidding For Qualcomm, Intel Working With AMD Semiconductors Last week Broadcom announced an unsolicited offer to acquire Qualcomm. Intel announced that it will be using a custom discrete AMD graphics chip in one of its high end notebook processor families. Nvidia, Skyworks and Microsemi reported earnings. On November 6th, Broadcom announced an unsolicited offer to acquire Qualcomm, for $60 in cash and $10 value of Broadcom shares for each Qualcomm share. We cut our rating on Qualcomm (QCOM, to Market Perform from Outperform as the stock is now trading close to our price target, and we expect that going forward the stock will not trade on fundamentals but rather on developments regarding this acquisition offer. Intel announced a new mobile processor product which will be a part of Intel’s 8th Gen Core family, featuring Intel Core H-Series mobile processor, second generation High Bandwidth Memory (HBM2) and a custom discrete AMD graphics chip. Nvidia reported revenues for the quarter of $2.636 billion (up 18% sequentially, up 32% year over year), above the company’s original guidance range of $2.35 billion +/- 2%. Guidance is for revenue to be $2.65 billion +/- 2% (midpoint = up 1% sequentially, up 22% yr/yr). Skyworks reported quarterly revenues of $984.5 million (+9% sequentially and up 18% year-over-year), above the company's guidance of $980 million. Skyworks guided for December quarter sales of $1,050 million (up 7% sequentially and up 15% year-over-year). Microsemi reported sales of $475.3 million (up 4% sequentially and +6% yr/yr) for the September quarter.
    [Show full text]