GPU Developments 2018

Total Page:16

File Type:pdf, Size:1020Kb

GPU Developments 2018 GPU Developments 2018 2018 GPU Developments 2018 © Copyright Jon Peddie Research 2019. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR. Important Note re Sharing of Material. If Subscriber wishes to Share any Material with any Shared Third Party, it shall contact JPR and request permission to do so. JPR shall forthwith prepare an appropriate Sharing agreement, which shall set forth the name and contact information of the Shared Third Party, the terms and conditions of such Sharing, the compensation to JPR for such Sharing, and the agreement by Subscriber and the Shared Third Party that the Shared Third Party shall not, under any circumstances, Share any of the Material with any other entity or person. Disclaimers. JPR Reports contain “reviews” of various products and information. The content of these Reports represents the interpretation and analysis of statistics and information that are either generally available to the public or released by entities or individuals deemed responsible. The information in the Reports is believed to be reliable but is not guaranteed as to its accuracy or completeness. The Reports do not endorse or attempt to sell any products and should not be interpreted differently. JPR assumes no responsibility for the correct or incorrect usage of any trademarks or service marks. Page 1 of 155 © Copyright Jon Peddie Research 2019 GPU Developments 2018 Table of Contents Executive Summary ..................................................................................................... 4 The GPUs of 2019 ......................................................................................................................... 5 Introduction .................................................................................................................. 7 Scope of this report ...................................................................................................... 8 First quarter 2018 ........................................................................................................................... 8 Intel’ prototype dGPU ................................................................................................................ 8 Intel improves GPU power management ................................................................................. 10 Imagination virtualizes its GPUs, automakers love it .............................................................. 12 GTC ’18: Pursuing and Exploiting the Intersection of Computer Graphics and AI ................ 14 Have a MacBook and want more (GPU power)? .................................................................... 25 Adjacent developments ............................................................................................................ 27 Chasing pixels ................................................................................................................................... 27 Realtime raytracing on your phone ................................................................................................... 29 Nvidia claims real-time ray tracing now possible ............................................................................. 31 Giant monitors .................................................................................................................................. 36 Intel’s amazing presentations ............................................................................................................ 37 It takes a lot of GPUs to do that ....................................................................................... 42 LG coolest of cool displays ............................................................................................................... 42 Those Ks – what is 5K, 8K and 3K? ................................................................................ 44 GDDR6 is available ......................................................................................................... 50 Second quarter 2016 .................................................................................................................... 52 All about the GPU — it has competition now ......................................................................... 52 Is it a revolution — or just evolution? ............................................................................. 53 Machine learning and AI .................................................................................................................. 54 Training ............................................................................................................................ 55 Inferencing ....................................................................................................................... 55 Internet of things ............................................................................................................................... 55 Robots ............................................................................................................................................... 55 Crypto-mining ................................................................................................................................... 55 Blockchain ........................................................................................................................................ 56 Raw power for IoT ............................................................................................................................ 56 Nvidia has the biggest one ....................................................................................................... 58 AMD vs. AMD ........................................................................................................................ 61 Matrox squeezes pixels from a 20-year old chip ..................................................................... 63 An AIB in a blink of the eye .................................................................................................... 65 Arm expands Bifrost to new Mali-G76 ................................................................................... 68 Huawei’s Honor GPU turbo ..................................................................................................... 71 Nvidia slows the pace, while AMD promise more .................................................................. 73 Qualcomm announces three new Snapdragon mobile platforms ............................................. 76 Adjacent developments ............................................................................................................ 77 Curvy 38-inch beauties ..................................................................................................................... 77 An in-depth look at the new SPECviewperf 13 benchmark for measuring graphics performance ... 78 Third quarter 2018 ....................................................................................................................... 84 Is it Time to Rename the GPU? ............................................................................................... 84 Page 2 of 155 © Copyright Jon Peddie Research 2019 GPU Developments 2018 Samsung takes on new GPU VP to take in-house GPU across finish line .............................. 85 Nvidia introduces Turing: The world’s first realtime ray tracing GPU ................................... 87 Introducing Nvidia Turing ................................................................................................................ 87 Realtime ray tracing five years ahead of schedule ............................................................................ 89 Quadro RTX ..................................................................................................................................... 90 VirtualLink
Recommended publications
  • Reviving the Development of Openchrome
    Reviving the Development of OpenChrome Kevin Brace OpenChrome Project Maintainer / Developer XDC2017 September 21st, 2017 Outline ● About Me ● My Personal Story Behind OpenChrome ● Background on VIA Chrome Hardware ● The History of OpenChrome Project ● Past Releases ● Observations about Standby Resume ● Developmental Philosophy ● Developmental Challenges ● Strategies for Further Development ● Future Plans 09/21/2017 XDC2017 2 About Me ● EE (Electrical Engineering) background (B.S.E.E.) who specialized in digital design / computer architecture in college (pretty much the only undergraduate student “still” doing this stuff where I attended college) ● Graduated recently ● First time conference presenter ● Very experienced with Xilinx FPGA (Spartan-II through 7 Series FPGA) ● Fluent in Verilog / VHDL design and verification ● Interest / design experience with external communication interfaces (PCI / PCIe) and external memory interfaces (SDRAM / DDR3 SDRAM) ● Developed a simple DMA engine for PCI I/F validation w/Windows WDM (Windows Driver Model) kernel device driver ● Almost all the knowledge I have is self taught (university engineering classes were not very useful) 09/21/2017 XDC2017 3 Motivations Behind My Work ● General difficulty in obtaining meaningful employment in the digital hardware design field (too many students in the field, difficulty obtaining internship, etc.) ● Collects and repairs abandoned computer hardware (It’s like rescuing puppies!) ● Owns 100+ desktop computers and 20+ laptop computers (mostly abandoned old stuff I
    [Show full text]
  • Intel® Quick Sync Video Technology Guide
    WP80 Superguide 3: THE CLOUD VIDEO SUPERGUIDE JANUARY/FEBRUARY 2015 SPONSORED CONTENT Intel® Quick Sync Video Technology and Intel® Xeon® Processor Based Servers— Flexible Transcode Performance and Quality Video transcoding involves converting provides enterprise-quality HEVC and and boost image quality. Some key one compressed video format to audio codecs, Intel® VTune™ Amplifier improvements include the following: another. In the past this process has XE performance analysis tools and Video • Additional JPEG/MJPEG decode in been a compute-intensive task which Quality Caliper stream quality analyzer. the multi-format codec engine. This demanded a large amount of precious Additionally, product family members, support is on top of existing energy- CPU resources. Intel® Quick Synch Video Intel® Video Pro Analyzer and Intel® efficient, high-performance AVC (QSV) can enable hardware-accelerated Stress Bitstreams and Encoder bundles encode/decode that sustains multiple transcoding to deliver better performance enable production–scale validation and 4K and Ultra HD video streams. than transcoding on the CPU without debug of encode, transcode, and decode • A dedicated new video quality engine sacrificing quality. and playback applications. to provide extensive video processing First introduced in 2011, Intel Quick Intel Media Server Studio SDK at low power consumption Sync technology is available in the Intel® implements many codec and tools • Programmable and media-optimized Xeon® Processor E3-1200 v3 with Intel components initially in software, and EU (execution units)/samplers for HD Graphics P4600/4700 and Iris™ Pro later as hybrid (software and hardware) high quality P5200. (From here on, we’ll simply refer to or entirely in hardware.
    [Show full text]
  • Download Speeds Performance and Optimized for Long Battery Life
    ® QUALCOMM FEATURING THE LATEST IN MOBILE TECHNOLOGY. TM SNAPDRAGON Capture sharper, higher-quality images, in challenging lighting situations Qualcomm’s Spectra 14-bit dual image signal processors tap into the enhanced performance and feature enhancements that Hexagon 680 DSP’s HVX 820MOBILE PROCESSOR performance adds with amazing features like Low Light Photo and Video and Touch-to-Track where ISP and DSP work intelligently together to enhance imaging as well as track movements and improve zoom. Enabling a more immersive, intuitive and Immersive, life-like connected experience. virtual reality The Snapdragon 820 mobile processor Experience realistic, visual and audio immersion and offers many advantages: smooth VR action enabled by Snapdragon 820’s • New X12 LTE: Industry leading Heterogeneous compute platform, designed for high connectivity with LTE download speeds performance and optimized for long battery life. of up to 600 Mbps and multi-gigabit 802.11ad Wi-Fi • New Qualcomm® Kryo CPU: Delivering Next-generation maximum performance and low power consumption Kryo is QTI’s first custom computer vision 64-bit quad-core CPU, manufactured Drive more safely with object detection and enhanced in advanced 14nm FinFET LPP process navigation and enhance your smartphone camera • New Qualcomm® Adreno 530: Up to capability with features that can track faces and 40% better graphics and compute objects for a more intelligent mobile experience. performance with the Adreno 530 GPU • Qualcomm Spectra™ 14-bit dual image signal processors (ISPs) deliver high Deeply immersive resolution DSLR-quality images using heterogeneous compute for advanced 3D gaming processing and additional power The combination of Snapdragon 820’s Adreno 530 GPU savings and Kryo CPU creates enough compute performance • New Hexagon 680 DSP includes to enable console quality games and exciting, next Hexagon Vector eXtensions and Sensor generation virtual reality applications.
    [Show full text]
  • Download/Face- Modules/Documents/Face-Modules-Hw-Specifications.Pdf
    I PC H “ CompuLab Ltd. Revision 1.2 December 2013 Legal Notice © 2013 CompuLab Ltd. All Rights Reserved. No part of this document may be photocopied, reproduced, stored in a retrieval system, or transmitted, in any form or by any means whether, electronic, mechanical, or otherwise without the prior written permission of CompuLab Ltd. No warranty of accuracy is given concerning the contents of the information contained in this publication. To the extent permitted by law no liability (including liability to any person by reason of negligence) will be accepted by CompuLab Ltd., its subsidiaries or employees for any direct or indirect loss or damage caused by omissions from or inaccuracies in this document. CompuLab Ltd. reserves the right to change details in this publication without notice. Product and company names herein may be the trademarks of their respective owners. CompuLab Ltd. 17 HaYetsira St., Yokneam Elite 20692, P.O.B 687 ISRAEL Tel: +972-4-8290100 http://www.compulab.co.il http://fit-pc.com/web/ Fax: +972-4-8325251 CompuLab Ltd. Intense PC Hardware Specification Page 2 of 74 Revision History Revision Engineer Revision Changes 1.0 Maxim Birger Initial public release 1.1 Maxim Birger Memory Interface updated Super-IO Controller peripheral section added RS232 serial com port info added 1.2 Maxim Birger HDMI Block Diagram updated DP Block Diagram updated CompuLab Ltd. Intense PC Hardware Specification Page 3 of 74 Table of Contents Legal Notice ..................................................................................................................................................
    [Show full text]
  • Accenture AI Inferencing in Action
    POV POV PUT YOUR AI SOLUTION ON STEROIDS POV PUT YOUR AI SOLUTION ON STEROIDS POINT OF VIEW POV PUT YOUR AI SOLUTION ON STEROIDS POV MATCH GPU PERFORMANCE AT HALF THE COST FOR AI INFERENCE WORKLOADS Proven CPU-based solution from Accenture and Intel boosts the performance and lowers the cost of AI inferencing by enabling an easy-to-deploy, scalable, and cost-efficient architecture AI INFERENCING—THE NEXT CRITICAL STEP AFTER AI ALGORITHM TRAINING Artificial Intelligence (AI) solutions include three main functions—identifying and preparing data, training an artificial intelligence algorithm, and using the algorithm for inferring new outcomes. Each function requires different compute recourses and deployment architecture. The choices of infrastructure components and technologies significantly impact the performance and costs associated with deploying an end-to-end AI solution. Data scientists and machine learning (ML) engineers spend significant time devising the right architecture for all stages of the AI pipeline. MODEL DATA TRAINING AND SCORING AND PREPARATION OPTIMIZATION INFERENCE Once an AI computer/algorithm has been trained through traditional or deep learning techniques, it can deliver value by interpreting data (i.e., inferring). Through inference, an AI algorithm can analyze data to: • Differentiate between various items • Identify trends and patterns that can be leveraged during decision-making • Reveal opportunities and possible solutions • Recognize voices, faces, images, etc. POV PUT YOUR AI SOLUTION ON STEROIDS POV Revealing hidden As we look to the future, AI inference will become increasingly possibilities— important to businesses operating in all segments—from health care to financial services to aerospace. And as the reliance on AI inference continues to grow, so Accenture AIP, does the importance of choosing the right AI infrastructure to support it.
    [Show full text]
  • Adaptive Bitrate Streaming in Cloud Gaming Lambert Wang Worcester Polytechnic Institute
    CORE Metadata, citation and similar papers at core.ac.uk Provided by DigitalCommons@WPI Worcester Polytechnic Institute Digital WPI Major Qualifying Projects (All Years) Major Qualifying Projects March 2017 Adaptive Bitrate Streaming in Cloud Gaming Lambert Wang Worcester Polytechnic Institute Matthew aJ mes Suarez Worcester Polytechnic Institute Robyn Angela Domanico Worcester Polytechnic Institute Follow this and additional works at: https://digitalcommons.wpi.edu/mqp-all Repository Citation Wang, L., Suarez, M. J., & Domanico, R. A. (2017). Adaptive Bitrate Streaming in Cloud Gaming. Retrieved from https://digitalcommons.wpi.edu/mqp-all/431 This Unrestricted is brought to you for free and open access by the Major Qualifying Projects at Digital WPI. It has been accepted for inclusion in Major Qualifying Projects (All Years) by an authorized administrator of Digital WPI. For more information, please contact [email protected]. Adaptive Bitrate Streaming in Cloud Gaming A Major Qualifying Project submitted to the Faculty of Worcester Polytechnic Institute in partial fulfillment of the requirements for the Degree in Bachelor of Science Robyn Domanico Matt Suarez Lambert Wang frdomanico, mjsuarez, [email protected] Advised by Mark Claypool [email protected] March 19, 2017 1 Abstract Cloud gaming streams games as video from a server directly to a client device making it susceptible to network congestion. Adaptive bitrate streaming estimates the bottleneck capacity of a network and sets appropriate encoding parameters to avoid exceeding the bandwidth of the connection. BBR is a congestion control algorithm as an alternative to current loss-based congestion control. We designed and implemented a bitrate adaptation heuristic based on BBR into GamingAnywhere, an open source cloud gaming platform.
    [Show full text]
  • Peter Shirley, NVIDIA
    Course slides, resources, information: intro-to-dxr.cwyman.org Introduction to DirectX Raytracing Welcome & Introductions Chris Wyman, NVIDIA Shawn Hargreaves, Microsoft Peter Shirley, NVIDIA Colin Barré-Brisebois, SEED Course slides, resources, information: intro-to-dxr.cwyman.org Photography & Recording Encouraged 1 Image rendered with our course tutorials: Emerald Square scene from Open Research Content Archive Welcome • Why have this course? 2 Welcome • Why have this course? • Microsoft announced DirectX Raytracing at GDC • My Twitter feed blew up – With people (re)trying ray tracing How many times did you see this image on Twitter?3 Welcome • Why have this course? • Microsoft announced DirectX Raytracing at GDC • My Twitter feed blew up – With people (re)trying ray tracing A simple scene with added ray traced lighting • Now: Widely used API w/ray tracing support – Straightforward sharing of GPU resources – Compelling demos suggest real use cases 4 Welcome • Why have this course? • Microsoft announced DirectX Raytracing at GDC • My Twitter feed blew up – With people (re)trying ray tracing Left: Feasible sample count today in real-time • Now: Widely used API w/ray tracing support – Straightforward sharing of GPU resources – Compelling demos suggest real use cases • Not yet full path traced renderers – Only fast enough for a few rays per pixel – Research needed: reconstruct from low samples Right: Fully converged path tracing5 Welcome • Why have this course? • Microsoft announced DirectX Raytracing at GDC • My Twitter feed blew up –
    [Show full text]
  • HP RP5810 Retail System, Model 5810
    QuickSpecs HP RP5 Retail System, Model 5810 Overview HP RP5 Retail System, Model 5810 Front View 1. 5.25” external optical drive 5. NIC link indicator LED 2. Power/ Diagnostic LED 6. Hard Drive LED 3. NIC link indicator LED 7. Power button 4. 2 USB 2.0 ports with sliding door c04304464 — DA - 14956 Worldwide — Version 8 — December 8, 2014 Page 1 QuickSpecs HP RP5 Retail System, Model 5810 Overview Rear View 1. 24 Volt USB + PWR port 10. PS/2 keyboard port 2. Two (2) Full-Height Slots* 11. VGA port 3. RS232 serial COM3 12. 3 USB 2.0 ports 4. RJ-45 LAN jack 13. 2 USB 3.0 ports 5. RS232 serial (power configurable) COM1 port 14. RS232 serial (power configurable) COM2 port 6. PS/2 mouse port 15. DisplayPort 7. 240W EPA – Active PFC power supply (no line 16. RJ12 cash drawer port switching required) 8. Line in audio jack 17. One (1) PCIe x16 Slot (wired as x16)** – shown is optional three (3) port 12 Volt USB +Power Card 9. Line out audio jack 18. One (1) PCIe x16 Slot (wired as x4)** – shown is optional three (3) port 12 Volt USB + Power Card * Can be configured either as two (2) PCI x1 or two (2) PCIe x1 Full-Height slots. Shown is optional 2 Port RS232 serial (power configurable) Card, COM4 port (left) and COM3 port (right port). **A variety of cards are available to populate slots, dependant on riser choice and connectors utilized. For full details, please contact your HP sales representative for configuration choices.
    [Show full text]
  • 'Call of Duty: Modern Warfare' to Support Directx Raytracing on PC
    ‘Call of Duty: Modern Warfare’ to Support DirectX Raytracing on PC, Powered by NVIDIA GeForce RTX One of the Most Anticipated Games of the Year to Leverage NVIDIA RTX Technology on PC NVIDIA and Activision today announced that NVIDIA is the official PC partner for Call of Duty®: Modern Warfare®, the highly anticipated, all-new title scheduled for release on Oct. 25. NVIDIA is working side by side with developer Infinity Ward to bring real-time DirectX Raytracing (DXR), and NVIDIA® Adaptive Shading gaming technologies to the PC version of the new Modern Warfare. “Call of Duty: Modern Warfare is poised to reset the bar upon release this October,'' said Matt Wuebbling, head of GeForce marketing at NVIDIA. “NVIDIA is proud to partner closely with this epic development and contribute toward the creation of this gripping experience. Our teams of engineers have been working closely with Infinity Ward to use NVIDIA RTX technologies to display the realistic effects and incredible immersion that Modern Warfare offers.'' The most celebrated series in Call of Duty will make its return in a powerful experience reimagined from the ground up. Published by Activision and developed by Infinity Ward, the PC version of Call of Duty: Modern Warfare will release on Blizzard Battle.net. Modern Warfare features a unified narrative experience and progression across an epic, heart-racing, single-player story, an action-packed multiplayer playground, and new cooperative gameplay. “Our work with NVIDIA GPUs has helped us throughout the PC development of Modern Warfare,'' said Dave Stohl, co-studio head at Infinity Ward. “We've seamlessly integrated the RTX features like ray tracing and adaptive shading into our rendering pipeline.
    [Show full text]
  • CTL RFP Proposal
    State of Maine Department of Education in coordination with the National Association of State Procurement Officials PROPOSAL COVER PAGE RFP # 201210412 MULTI-STATE LEARNING TECHNOLOGY INITIATIVE Bidder’s Organization Name: CTL Chief Executive - Name/Title: Erik Stromquist / COO Tel: 800.642.3087 x 212 Fax: 503.641.5586 E-mail: [email protected] Headquarters Street Address: 3460 NW Industrial St. Headquarters City/State/Zip: Portland, OR 97210 (provide information requested below if different from above) Lead Point of Contact for Proposal - Name/Title: Michael Mahanay / GM, Sales & Marketing Tel: 800.642.3087 x 205 Fax: 503.641.5586 E-mail: [email protected] Street Address: 3460 NW Industrial St. City/State/Zip: Portland, OR 97219 Proposed Cost: $294/yr. The proposed cost listed above is for reference purposes only, not evaluation purposes. In the event that the cost noted above does not match the Bidder’s detailed cost proposal documents, then the information on the cost proposal documents will take precedence. This proposal and the pricing structure contained herein will remain firm for a period of 180 days from the date and time of the bid opening. No personnel on the multi-state Sourcing Team or any other involved state agency participated, either directly or indirectly, in any activities relating to the preparation of the Bidder’s proposal. No attempt has been made or will be made by the Bidder to induce any other person or firm to submit or not to submit a proposal. The undersigned is authorized to enter into contractual obligations on behalf of the above-named organization.
    [Show full text]
  • An Evolution of Mobile Graphics
    AN EVOLUTION OF MOBILE GRAPHICS Michael C. Shebanow Vice President, Advanced Processor Lab Samsung Electronics July 20, 20131 DISCLAIMER • The views herein are my own • They do not represent Samsung’s vision nor product plans 2 • The Mobile Market • Review of GPU Tech • GPU Efficiency • User Experience • Tech Challenges • Summary 3 The Rise of the Mobile GPU & Connectivity A NEW WORLD COMING? 4 DISCRETE GPU MARKET Flattening 5 MOBILE GPU MARKET Smart • In 2012, an estimated 800+ Phones million mobile GPUs shipped “Phablets” • ~123M tablets • ~712M smart phones Tablets • Will easily exceed 1B in the coming years • Trend: • Discrete GPU relatively flat • Mobile is growing rapidly 6 WW INTERNET TRAFFIC • Source: Cisco VNI Mobile INET IP Traffic growth Traffic • Internet traffic growth Year (TB/sec) rate (TB/sec) rate is staggering 2005 0.9 0.00 2006 1.5 65% 0.00 • 2012 total traffic is 2007 2.5 61% 0.01 13.7 GB per person 2008 3.8 54% 0.01 per month 2009 5.6 45% 0.04 2010 7.8 40% 0.10 • 2012 smart phone 2011 10.6 36% 0.23 traffic at 2012 12.4 17% 0.34 0.342 GB per person per month • 2017 smart phone traffic expected at 2.7 GB per person per month 7 WHERE ARE WE HEADED?… • Enormous quantity of GPUs • Large amount of interconnectivity • Better I/O 8 GPU Pipelines A BRIEF REVIEW OF GPU TECH 9 MOBILE GPU PIPELINE ARCHITECTURES Tile-based immediate mode rendering IA VS CCV RS PS ROP (TBIMR) Tile-based deferred IA VS CCV scene rendering (TBDR) RS PS ROP IA = input assembler VS = vertex shader CCV = cull, clip, viewport transform RS = rasterization,
    [Show full text]
  • Persistent Memory for Artificial Intelligence
    Persistent Memory for Artificial Intelligence Bill Gervasi Principal Systems Architect [email protected] Santa Clara, CA August 2018 1 Demand Outpacing Capacity In-Memory Computing Artificial Intelligence Machine Learning Deep Learning Memory Demand DRAM Capacity Santa Clara, CA August 2018 2 Driving New Capacity Models Non-volatile memories Industry successfully snuggling large memories to the processors… Memory Demand DRAM Capacity …but we can do oh! so much more Santa Clara, CA August 2018 3 My Three Talks at FMS NVDIMM Analysis Memory Class Storage Artificial Intelligence Santa Clara, CA August 2018 4 History of Architectures Let’s go back in time… Santa Clara, CA August 2018 5 Historical Trends in Computing Edge Co- Computing Processing Power Failure Santa Clara, CA August 2018 Data Loss 6 Some Moments in History Central Distributed Processing Processing Shared Processor Processor per user Dumb terminals Peer-to-peer networks Santa Clara, CA August 2018 7 Some Moments in History Central Distributed Processing Processing “Native Signal Processing” Hercules graphics Main CPU drivers Sound Blaster audio Cheap analog I/O Rockwell modem Ethernet DSP Tightly-coupled coprocessing Santa Clara, CA August 2018 8 The Lone Survivor… Integrated graphics Graphics add-in cards …survived the NSP war Santa Clara, CA August 2018 9 Some Moments in History Central Distributed Processing Processing Phone providers Phone apps provide controlled all local services data processing Edge computing reduces latency Santa Clara, CA August 2018 10 When the Playing
    [Show full text]