Mr. Gianni Pucillo (Italian Nationality) CA Technologies in Prague
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Release Notes for X11R6.8.2 the X.Orgfoundation the Xfree86 Project, Inc
Release Notes for X11R6.8.2 The X.OrgFoundation The XFree86 Project, Inc. 9February 2005 Abstract These release notes contains information about features and their status in the X.Org Foundation X11R6.8.2 release. It is based on the XFree86 4.4RC2 RELNOTES docu- ment published by The XFree86™ Project, Inc. Thereare significant updates and dif- ferences in the X.Orgrelease as noted below. 1. Introduction to the X11R6.8.2 Release The release numbering is based on the original MIT X numbering system. X11refers to the ver- sion of the network protocol that the X Window system is based on: Version 11was first released in 1988 and has been stable for 15 years, with only upwardcompatible additions to the coreX protocol, a recordofstability envied in computing. Formal releases of X started with X version 9 from MIT;the first commercial X products werebased on X version 10. The MIT X Consortium and its successors, the X Consortium, the Open Group X Project Team, and the X.OrgGroup released versions X11R3 through X11R6.6, beforethe founding of the X.OrgFoundation. Therewill be futuremaintenance releases in the X11R6.8.x series. However,efforts arewell underway to split the X distribution into its modular components to allow for easier maintenance and independent updates. We expect a transitional period while both X11R6.8 releases arebeing fielded and the modular release completed and deployed while both will be available as different consumers of X technology have different constraints on deployment. Wehave not yet decided how the modular X releases will be numbered. We encourage you to submit bug fixes and enhancements to bugzilla.freedesktop.orgusing the xorgproduct, and discussions on this server take place on <[email protected]>. -
Stephen Clarke-Willson
Contact Stephen Clarke-Willson www.linkedin.com/in/drstephencw Programmer, Producer, Executive (LinkedIn) Sammamish www.arena.net (Company) www.above-the-garage.com (Personal) Summary above-the-garage.com/blog (Blog) Software technology development leadership and management. Top Skills Specialties: Technical / Product team building and management; Systems Programming System Architecture experience as first, second and third level manager in fast growing Game Development companies; systems programming, systems architecture, technology development. Publications Guild Wars Microservices and 24/7 Uptime Guild Wars 2 - Scaling from one to Experience millions Applying Game Design To Virtual NCSOFT Environments VP of Technology Nano-Plasm March 2019 - Present (1 year 7 months) Bellevue, WA ArenaNet LLC 13 years 6 months Programmer in the role of Studio Technical Director May 2013 - March 2019 (5 years 11 months) Bellevue, WA Lead engineering staff (about 100 members) for "gaming as a service" with continuous high volume content creation and delivery at MMO scale. Translate business objectives into innovative yet achievable technical challenges. Created technical unit with flat reporting structure and peer input reviews. Programmer in the roles of Server Programmer / Server Team Lead October 2005 - April 2013 (7 years 7 months) Developing multi-threaded, restartable, dynamically updatable, high performance, internet-resilient, bug free server code for the MMO Guild Wars (1 and 2). Above the Garage Productions Programmer / Owner Page 1 of 4 May 2004 - October 2005 (1 year 6 months) Game Technology Developer, Above the Garage Productions Developed downloadable music system "DirectSong.com" (from payment system [PayPal] to delivery system to embedded music player using Microsoft WMA technology). -
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 -
Introducing Linux on IBM Z Systems IT Simplicity with an Enterprise Grade Linux Platform
Introducing Linux on IBM z Systems IT simplicity with an enterprise grade Linux platform Wilhelm Mild IBM Executive IT Architect for Mobile, z Systems and Linux © 2016 IBM Corporation IBM Germany What is Linux? . Linux is an operating system – Operating systems are tools which enable computers to function as multi-user, multitasking, and multiprocessing servers. – Linux is typically delivered in a Distribution with many useful tools and Open Source components. Linux is hardware agnostic by design – Linux runs on multiple hardware architectures which means Linux skills are platform independent. Linux is modular and built to coexist with other operating systems – Businesses are using Linux today. More and more businesses proceed with an evolutionary solution strategy based on Linux. 2 © 2016 IBM Corporation What is IBM z Systems ? . IBM z Systems is the family name used by IBM for its mainframe computers – The z Systems families were named for their availability – z stands for zero downtime. The systems are built with spare components capable of hot failovers to ensure continuous operations. IBM z Systems paradigm – The IBM z Systems family maintains full backward compatibility. In effect, current systems are the direct, lineal descendants of System/360, built in 1964, and the System/370 from the 1970s. Many applications written for these systems can still run unmodified on the newest z Systems over five decades later. IBM z Systems variety of Operating Systems – There are different traditional Operating Systems that run on z Systems like z/OS, z/VSE or TPF. With z/VM IBM delivers a mature Hypervisor to virtualize the operating systems. -
The Future of Business Using Enterprise Server
Market Review Market Review Paper by Bloor Author David Norfolk Publish date June 2021 The Future of Business …using Enterprise Server 3.0 Services A company has to stay“ in business while modernising its systems and any modernisation must have a clearly documented business case and properly managed risk. What this means is that migrating a working system to a new platform may not be a good use of resources, especially as alternative modernisation options (such as the provision of cloud APIs or Application Programming Interfaces) are available. ” Executive summary he Future of Business will Well, the nub of the business issue we be largely built on the past, spotlight here is that migration to Cloud T for existing companies. is often recommended simplistically as Modernisation of what you have already, a platform for future business, almost as presumably “fit for current purpose” (or you a fashion option, with implied promises wouldn’t be in business) avoids waste and of ultimate agility, elastic capabilities mitigates certain classes of risk (although, without limits and low cost; but the if not done properly, it can add new risks). actuality is often different – and never Modernisation, of course, implies fit for quite being able to complete a migration evolution and change – once modernised, off Enterprise Server 3.0, because the you will be making further changes to business realities won’t let you, is accommodate new business. probably the most expensive scenario Modernisation of what For big enterprises, the world still runs of all. Cloud provides a wide choice of you have already,“ on very large, very resilient, servers – often platforms, some with innovative and presumably “fit for current referred to as “mainframes”, although attractive characteristics, but three truths Bloor prefers the term Enterprise Server remain important: purpose” (or you wouldn’t be in business) avoids 3.0. -
4010, 237 8514, 226 80486, 280 82786, 227, 280 a AA. See Anti-Aliasing (AA) Abacus, 16 Accelerated Graphics Port (AGP), 219 Acce
Index 4010, 237 AIB. See Add-in board (AIB) 8514, 226 Air traffic control system, 303 80486, 280 Akeley, Kurt, 242 82786, 227, 280 Akkadian, 16 Algebra, 26 Alias Research, 169 Alienware, 186 A Alioscopy, 389 AA. See Anti-aliasing (AA) All-In-One computer, 352 Abacus, 16 All-points addressable (APA), 221 Accelerated Graphics Port (AGP), 219 Alpha channel, 328 AccelGraphics, 166, 273 Alpha Processor, 164 Accel-KKR, 170 ALT-256, 223 ACM. See Association for Computing Altair 680b, 181 Machinery (ACM) Alto, 158 Acorn, 156 AMD, 232, 257, 277, 410, 411 ACRTC. See Advanced CRT Controller AMD 2901 bit-slice, 318 (ACRTC) American national Standards Institute (ANSI), ACS, 158 239 Action Graphics, 164, 273 Anaglyph, 376 Acumos, 253 Anaglyph glasses, 385 A.D., 15 Analog computer, 140 Adage, 315 Anamorphic distortion, 377 Adage AGT-30, 317 Anatomic and Symbolic Mapper Engine Adams Associates, 102 (ASME), 110 Adams, Charles W., 81, 148 Anderson, Bob, 321 Add-in board (AIB), 217, 363 AN/FSQ-7, 302 Additive color, 328 Anisotropic filtering (AF), 65 Adobe, 280 ANSI. See American national Standards Adobe RGB, 328 Institute (ANSI) Advanced CRT Controller (ACRTC), 226 Anti-aliasing (AA), 63 Advanced Remote Display Station (ARDS), ANTIC graphics co-processor, 279 322 Antikythera device, 127 Advanced Visual Systems (AVS), 164 APA. See All-points addressable (APA) AED 512, 333 Apalatequi, 42 AF. See Anisotropic filtering (AF) Aperture grille, 326 AGP. See Accelerated Graphics Port (AGP) API. See Application program interface Ahiska, Yavuz, 260 standard (API) AI. -
Manycore GPU Architectures and Programming, Part 1
Lecture 19: Manycore GPU Architectures and Programming, Part 1 Concurrent and Mul=core Programming CSE 436/536, [email protected] www.secs.oakland.edu/~yan 1 Topics (Part 2) • Parallel architectures and hardware – Parallel computer architectures – Memory hierarchy and cache coherency • Manycore GPU architectures and programming – GPUs architectures – CUDA programming – Introduc?on to offloading model in OpenMP and OpenACC • Programming on large scale systems (Chapter 6) – MPI (point to point and collec=ves) – Introduc?on to PGAS languages, UPC and Chapel • Parallel algorithms (Chapter 8,9 &10) – Dense matrix, and sorng 2 Manycore GPU Architectures and Programming: Outline • Introduc?on – GPU architectures, GPGPUs, and CUDA • GPU Execuon model • CUDA Programming model • Working with Memory in CUDA – Global memory, shared and constant memory • Streams and concurrency • CUDA instruc?on intrinsic and library • Performance, profiling, debugging, and error handling • Direc?ve-based high-level programming model – OpenACC and OpenMP 3 Computer Graphics GPU: Graphics Processing Unit 4 Graphics Processing Unit (GPU) Image: h[p://www.ntu.edu.sg/home/ehchua/programming/opengl/CG_BasicsTheory.html 5 Graphics Processing Unit (GPU) • Enriching user visual experience • Delivering energy-efficient compung • Unlocking poten?als of complex apps • Enabling Deeper scien?fic discovery 6 What is GPU Today? • It is a processor op?mized for 2D/3D graphics, video, visual compu?ng, and display. • It is highly parallel, highly multhreaded mulprocessor op?mized for visual -
University of Klagenfurt Digital Signal Processor (DSP) MD SARWAR
University of Klagenfurt Digital Signal Processor (DSP) GROUP MEMBERS : MD SARWAR ZAHAN (MATRIX:1461419) BASHIRU OTOKITI (MATRIX:1361474) Topic: “GPU Processing” Proc. IEEE 96(5), 2008 AGENDA Introduction GPU Algorithm About GPU CPU VS GPU Short History Application of GPU GPU Pipeline, Architecture Conclusion WHAT IS GPU ? A graphics processing unit (GPU) is a dedicated processor that performs rapid mathematical calculations for rendering high quality video and images . The Abstract goal of a GPU is to enable a representation of a 3D world as realistically as possible. SHORT HISTORY OF GPU 2010 to 1970s 1980s 1990s 2000 to 2010 present ARCADE SYSTEM BOARDS S3 GRAPHICS NVIDIA & AUDI NEC 7220 NVIDIA 3D GRAPHICS RENDERING PIPELINE Image: 3D GRAPHICS RENDERING PIPELINE Vertex Processing: Process and transform individual vertices. Rasterization: Convert each primitive into a set of fragments. Fragment Processing: Process individual fragments. Output Merging: Combine the fragments of all primitives into color-pixel for the display. GPU ARCHITECTURE Image: NVidia GeForce 6800 Series GPU Board Host (CPU). 6 parallel vertex processors (receive data from the host). Image: NVidia GeForce 6800 GPU Architecture triangle setup stage (takes care of primitive assembly). rasterizer stage which produces the fragments. 16 processors (computes the output colors of each fragment). GPU COMPUTING Parallelism is the future of computing. GPU has moved from a fixed-function into full-fledged parallel programmable processor. GPU follow a single program multiple-data (SPMD) programming model. Image: SPMD Model SPMD Tasks are split up and run simultaneously on multiple processors with different input for faster results. GPU SOFTWARE ENVIRONMENTS Famous languages for GPU programming: NVIDIA’s (CUDA) OpenCL HLSL Cg GPU PERFORMANCE EVALUATION Image: GPU Performance Scan performance on CPU, graphics-based GPU (using OpenGL), and direct-compute GPU (using CUDA). -
Lecture: Manycore GPU Architectures and Programming, Part 1
Lecture: Manycore GPU Architectures and Programming, Part 1 CSCE 569 Parallel Computing Department of Computer Science and Engineering Yonghong Yan [email protected] https://passlab.github.io/CSCE569/ 1 Manycore GPU Architectures and Programming: Outline • Introduction – GPU architectures, GPGPUs, and CUDA • GPU Execution model • CUDA Programming model • Working with Memory in CUDA – Global memory, shared and constant memory • Streams and concurrency • CUDA instruction intrinsic and library • Performance, profiling, debugging, and error handling • Directive-based high-level programming model – OpenACC and OpenMP 2 Computer Graphics GPU: Graphics Processing Unit 3 Graphics Processing Unit (GPU) Image: http://www.ntu.edu.sg/home/ehchua/programming/opengl/CG_BasicsTheory.html 4 Graphics Processing Unit (GPU) • Enriching user visual experience • Delivering energy-efficient computing • Unlocking potentials of complex apps • Enabling Deeper scientific discovery 5 What is GPU Today? • It is a processor optimized for 2D/3D graphics, video, visual computing, and display. • It is highly parallel, highly multithreaded multiprocessor optimized for visual computing. • It provide real-time visual interaction with computed objects via graphics images, and video. • It serves as both a programmable graphics processor and a scalable parallel computing platform. – Heterogeneous systems: combine a GPU with a CPU • It is called as Many-core 6 Graphics Processing Units (GPUs): Brief History GPU Computing General-purpose computing on graphics processing units (GPGPUs) GPUs with programmable shading Nvidia GeForce GE 3 (2001) with programmable shading DirectX graphics API OpenGL graphics API Hardware-accelerated 3D graphics S3 graphics cards- single chip 2D accelerator Atari 8-bit computer IBM PC Professional Playstation text/graphics chip Graphics Controller card 1970 1980 1990 2000 2010 Source of information http://en.wikipedia.org/wiki/Graphics_Processing_Unit 7 NVIDIA Products • NVIDIA Corp. -
Graphical Process Unit a New Era
Nov 2014 (Volume 1 Issue 6) JETIR (ISSN-2349-5162) Graphical Process Unit A New Era Santosh Kumar, Shashi Bhushan Jha, Rupesh Kumar Singh Students Computer Science and Engineering Dronacharya College of Engineering, Greater Noida, India Abstract - Now in present days every computer is come with G.P.U (graphical process unit). The graphics processing unit (G.P.U) has become an essential part of today's mainstream computing systems. Over the past 6 years, there has been a marked increase in the performance and potentiality of G.P.U. The modern G.P.Us is not only a powerful graphics engine but also a deeply parallel programmable processor showing peak arithmetic and memory bandwidth that substantially outpaces its CPU counterpart. The G.P.U's speedy increase in both programmability and capability has spawned a research community that has successfully mapped a broad area of computationally demanding, mixed problems to the G.P.U. This effort in general-purpose computing on the G.P.Us, also known as G.P.U computing, has positioned the G.P.U as a compelling alternative to traditional microprocessors in high-performance computer systems of the future. We illustrate the history, hardware, and programming model for G.P.U computing, abstract the state of the art in tools and techniques, and present 4 G.P.U computing successes in games physics and computational physics that deliver order-of- magnitude performance gains over optimized CPU applications. Index Terms - G.P.U, History of G.P.U, Future of G.P.U, Problems in G.P.U, eG.P.U, Integrated graphics ________________________________________________________________________________________________________ I. -
Kyndryl Multicloud Management Platform
https://app.slack.com/team/ W7JTXSKLG Mainframe modernization with Kyndryl Managed Extended Cloud Infrastructure as a Service for IBM Z Use the modern mainframe as a cornerstone for building the infrastructure that enables your journey to hybrid cloud Highlights At Kyndryl™, we are committed to the concept that mainframe modernization is not about moving all your – Modernize infrastructure workloads and applications off of the high-performing, to get the most from security-rich and highly available IBM Z platform—it’s your mainframe about using the capabilities of every platform in the hybrid – Enable a culture change cloud to host each application based on unique availability, at the heart of your journey performance, security, resiliency and other requirements. to hybrid cloud – Rely on zCloud to provide The modern hybrid cloud ecosystem IBM Z® computing power Mainframe modernization efforts require enterprises with using a security-rich, mainframes to keep modern solutions—like IBM Z—at the scalable cloud model center of their hybrid cloud strategy. Hybrid cloud is about more than just re-platforming and going from one monolithic environment to another. The modern mainframe is designed to be open, supporting not just traditional workloads but also cloud-native applications that were built using languages familiar to developers on all platforms that can be implemented as microservices in containers. Kyndryl Managed Extended Cloud Infrastructure as a Service for IBM Z—also known as zCloud—uses a cloud delivery model to provide you with access to a scalable, multitenant infrastructure that is designed for flexibility and adaptability. You have your choice of several operating systems, including IBM z/OS®, Red Hat® Enterprise Linux or other Linux platforms, and the latest versions of standardized software stacks to facilitate flexibility. -
Zowe Documentation Version 1.20.1 LTS
Zowe Documentation Version 1.20.1 LTS | Contents | iii Contents Chapter 1: Getting Started......................................................................................7 Zowe fundamentals...............................................................................................................................................8 Zowe overview......................................................................................................................................... 8 Zowe architecture....................................................................................................................................13 Frequently Asked Questions...................................................................................................................20 Release notes.......................................................................................................................................................24 Version 1.20.1 LTS (March 2021).........................................................................................................25 Version 1.20.0 LTS (March 2021).........................................................................................................25 Version 1.19.1 LTS (February 2021).....................................................................................................27 Version 1.19.0 LTS (February 2021).....................................................................................................28 Version 1.18.0 LTS (January 2021).......................................................................................................30