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THINC: a Virtual and Remote Display Architecture for Desktop Computing and Mobile Devices
THINC: A Virtual and Remote Display Architecture for Desktop Computing and Mobile Devices Ricardo A. Baratto Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2011 c 2011 Ricardo A. Baratto This work may be used in accordance with Creative Commons, Attribution-NonCommercial-NoDerivs License. For more information about that license, see http://creativecommons.org/licenses/by-nc-nd/3.0/. For other uses, please contact the author. ABSTRACT THINC: A Virtual and Remote Display Architecture for Desktop Computing and Mobile Devices Ricardo A. Baratto THINC is a new virtual and remote display architecture for desktop computing. It has been designed to address the limitations and performance shortcomings of existing remote display technology, and to provide a building block around which novel desktop architectures can be built. THINC is architected around the notion of a virtual display device driver, a software-only component that behaves like a traditional device driver, but instead of managing specific hardware, enables desktop input and output to be intercepted, manipulated, and redirected at will. On top of this architecture, THINC introduces a simple, low-level, device-independent representation of display changes, and a number of novel optimizations and techniques to perform efficient interception and redirection of display output. This dissertation presents the design and implementation of THINC. It also intro- duces a number of novel systems which build upon THINC's architecture to provide new and improved desktop computing services. The contributions of this dissertation are as follows: • A high performance remote display system for LAN and WAN environments. -
Virtualgl / Turbovnc Survey Results Version 1, 3/17/2008 -- the Virtualgl Project
VirtualGL / TurboVNC Survey Results Version 1, 3/17/2008 -- The VirtualGL Project This report and all associated illustrations are licensed under the Creative Commons Attribution 3.0 License. Any works which contain material derived from this document must cite The VirtualGL Project as the source of the material and list the current URL for the VirtualGL web site. Between December, 2007 and March, 2008, a survey of the VirtualGL community was conducted to ascertain which features and platforms were of interest to current and future users of VirtualGL and TurboVNC. The larger purpose of this survey was to steer the future development of VirtualGL and TurboVNC based on user input. 1 Statistics 49 users responded to the survey, with 32 complete responses. When listing percentage breakdowns for each response to a question, this report computes the percentages relative to the total number of complete responses for that question. 2 Responses 2.1 Server Platform “Please select the server platform(s) that you currently use or plan to use with VirtualGL/TurboVNC” Platform Number of Respondees (%) Linux/x86 25 / 46 (54%) ● Enterprise Linux 3 (x86) 2 / 46 (4.3%) ● Enterprise Linux 4 (x86) 5 / 46 (11%) ● Enterprise Linux 5 (x86) 6 / 46 (13%) ● Fedora Core 4 (x86) 1 / 46 (2.2%) ● Fedora Core 7 (x86) 1 / 46 (2.2%) ● Fedora Core 8 (x86) 4 / 46 (8.7%) ● SuSE Linux Enterprise 9 (x86) 1 / 46 (2.2%) 1 Platform Number of Respondees (%) ● SuSE Linux Enterprise 10 (x86) 2 / 46 (4.3%) ● Ubuntu (x86) 7 / 46 (15%) ● Debian (x86) 5 / 46 (11%) ● Gentoo (x86) 1 / -
Supporting Distributed Visualization Services for High Performance Science and Engineering Applications – a Service Provider Perspective
9th IEEE/ACM International Symposium on Cluster Computing and the Grid Supporting distributed visualization services for high performance science and engineering applications – A service provider perspective Lakshmi Sastry*, Ronald Fowler, Srikanth Nagella and Jonathan Churchill e-Science Centre, Science & Technology Facilities Council, Introduction activities, the outcomes, the status and some suggestions as to the way forward. The Science & Technology Facilities Council is home to international Facilities such as the ISIS Workshops and tutorials Neutron Spallation Source, Central Laser Facility and Diamond Light Source, the National The take up of advanced visualization Grid Service including national super techniques within STFC scientists and their computers, Tier1 data service for CERN particle colleagues from the wider academia is quite physics experiment, the British Atmospheric limited despite decades of holding seminars and data Centre and the British Oceanographic Data surgeries to create awareness of the state of the Centre at the Space Science and Technology art. Visualization events generally tend to department. Together these Facilities generate attract practitioners in the field and an several Terabytes of data per month which needs occasional application domain expert. This is a to be handled, catalogued and provided access serious issue limiting the more widespread use to. In addition, the scientists within STFC of advanced visualization tools. In order to departments also develop complex simulations address this deficit, more recently, we have and undertake data analysis for their own begun an escalation of such events by holding experiments. Facilities also have strong ongoing show and tell “Other Peoples Business” to collaborations with UK academic and introduce exemplars from specific domains and commercial users through their involvement then the tools behind the exemplars, advertising with Collaborative Computational Programme, these events exclusively to scientists of various generating very large simulation datasets. -
Release 0.11 Todd Gamblin
Spack Documentation Release 0.11 Todd Gamblin Feb 07, 2018 Basics 1 Feature Overview 3 1.1 Simple package installation.......................................3 1.2 Custom versions & configurations....................................3 1.3 Customize dependencies.........................................4 1.4 Non-destructive installs.........................................4 1.5 Packages can peacefully coexist.....................................4 1.6 Creating packages is easy........................................4 2 Getting Started 7 2.1 Prerequisites...............................................7 2.2 Installation................................................7 2.3 Compiler configuration..........................................9 2.4 Vendor-Specific Compiler Configuration................................ 13 2.5 System Packages............................................. 16 2.6 Utilities Configuration.......................................... 18 2.7 GPG Signing............................................... 20 2.8 Spack on Cray.............................................. 21 3 Basic Usage 25 3.1 Listing available packages........................................ 25 3.2 Installing and uninstalling........................................ 42 3.3 Seeing installed packages........................................ 44 3.4 Specs & dependencies.......................................... 46 3.5 Virtual dependencies........................................... 50 3.6 Extensions & Python support...................................... 53 3.7 Filesystem requirements........................................ -
1 Australian Synchrotron
EPICS Qt Update Paul Martin 1 Australian Synchrotron • 3GeV, 216m circumference synchrotron • 8 Beamlines • 12 Software Engineers • IMBL – Worlds Widest Beam - MRT Clinical Program – Safety Critical • Melbourne, Australia • Nearest other facilities: Taiwan, Thailand, Japan • 16th Most Urbanized Country • World’s most livable cities • Hosting ICALEPCS in 2015 2 Qt • Qt is a cross-platform application and UI framework for developers using C++ – Windows,OS X, Linux, Embedded Linux, Android, iOS, vxWorks, Win CE, Amiga OS • Open Source (LPGL v2.1) Qt Designer • Trolltech -> Nokia -> Digia, • Development tools: Qt Creator, Qt Designer, Qmake, Qt Linguist, Qt Assistant, Integration into Visual Studio • Rich set of Widgets and other classes (1000+), Qwt (125+) • Very Good Documentation, help, examples • All Qt Objects contain powerful object communication Qt Creator mechanism (Signal+Slots) • GUI Layout widgets • Qt Project: www.qt-project.org 3 EPICS Qt – Team • Started 2009 – Anthony Owen, Andrew Rhyder, Glenn Jackson • Joined 2011 – Andy Starritt • Joined 2012 – Ricardo Fernandez • Joined 2013 – Zai Wang (1 year contract) 4 EPICS Qt – Rapid GUI Development • Adds Channel Access to standard Qt Widgets and Data Classes • Rapid GUI Dev – Drag and Drop EPICS aware components in Qt Designer • Macro Substitutions for PV names and other GUI functions Qt Designer Channel Access running at design time .ui file – presented using QEGui on any platform (windows / linux) 5 EPICS Qt – Other App Types QCaString Qt Creator QCaInteger QCaFloating QCaByteArray -
Pyqwt Documentation Release 5.2.1
PyQwt Documentation Release 5.2.1 Gerard Vermeulen July 18, 2010 CONTENTS 1 Introduction 1 1.1 NumPy................................................1 1.2 Qwt..................................................2 1.3 PyQwt with NumPy.........................................2 1.4 Getting help.............................................4 2 Installation 5 2.1 Source Code Installation.......................................5 3 PyQwt Reference Guide 9 3.1 PyQt4.Qwt5 ............................................9 3.2 PyQt4.Qwt5.qplt ........................................ 16 3.3 PyQt4.Qwt5.grace ....................................... 18 4 Copyright 19 5 Indices and Tables 21 Python Module Index 23 Index 25 i ii CHAPTER ONE INTRODUCTION PyQwt is a set of Python bindings for the Qwt library featuring fast plotting of Python lists and tuples and the powerful multi-dimensional arrays provided by NumPy, the fundamental package for efficient scientific and engi- neering computing in Python. 1 1.1 NumPy The NumPy package extends Python with multi-dimensional arrays and a complete set of ‘standard’ functions and operators to manipulate the arrays. NumPy turns Python into is an ideal language experimental numerical and scientific computing (as powerful as APL, MatLab, IDL and others, but much more elegant). If you do not have a mathematical background, you can think of a 1-dimensional array as a column in a spread- sheet. The spreadsheet lets you change whole columns element by element in one single statement. In a similar way, NumPy lets you change whole arrays element by element in one single statement as illustrated by the fol- lowing snippet: >>> import numpy as np >>> x= np.arange(0.0, 10.0, 3.0) >>> y= np.sin(x) >>> x array([ 0., 3., 6., 9.]) >>> y array([ 0. -
Vsim User Guide Release 10.1.0-R2780
VSim User Guide Release 10.1.0-r2780 Tech-X Corporation Mar 12, 2020 2 CONTENTS 1 Overview 1 1.1 What is VSimComposer?........................................1 1.2 VSim Capabilities............................................1 2 Starting VSimComposer 3 2.1 Running Locally.............................................3 2.2 Running VSimComposer On a Remote Computer System.......................4 2.3 Visualizing Remote Data.........................................5 2.4 Welcome Window............................................5 3 Creating or Opening a Simulation7 3.1 Starting a Simulation...........................................7 4 Menus and Menu Items 15 4.1 File Menu................................................. 15 4.2 Edit Menu................................................ 18 4.3 View Menu................................................ 21 4.4 Help Menu................................................ 21 4.5 Tools/VSimComposer Menu (Settings/Preferences)........................... 21 5 Simulation Concepts 31 5.1 Simulation Concepts Introduction.................................... 31 5.2 Grids................................................... 32 5.3 Geometries................................................ 36 5.4 Electric and Magnetic Fields....................................... 36 5.5 Particles................................................. 41 5.6 Reactions................................................. 43 5.7 Histories................................................. 44 6 Visual Setup 45 6.1 Setup Window for Visual-setup Simulations.............................. -
Vysoke´Ucˇenítechnicke´V Brneˇ
VYSOKE´ UCˇ ENI´ TECHNICKE´ V BRNEˇ BRNO UNIVERSITY OF TECHNOLOGY FAKULTA INFORMACˇ NI´CH TECHNOLOGII´ U´ STAV INTELIGENTNI´CH SYSTE´ MU˚ FACULTY OF INFORMATION TECHNOLOGY DEPARTMENT OF INTELLIGENT SYSTEMS BEZDRA´TOVA´ SENZOROVA´ SI´Tˇ SESTAVENA´ Z KOMPONENT ARDUINO DIPLOMOVA´ PRA´ CE MASTER’S THESIS AUTOR PRA´ CE Bc. JAKUB Sˇ PLI´CHAL AUTHOR BRNO 2012 VYSOKE´ UCˇ ENI´ TECHNICKE´ V BRNEˇ BRNO UNIVERSITY OF TECHNOLOGY FAKULTA INFORMACˇ NI´CH TECHNOLOGII´ U´ STAV INTELIGENTNI´CH SYSTE´ MU˚ FACULTY OF INFORMATION TECHNOLOGY DEPARTMENT OF INTELLIGENT SYSTEMS BEZDRA´TOVA´ SENZOROVA´ SI´Tˇ SESTAVENA´ Z KOMPONENT ARDUINO WIRELESS SENSOR NETWORK WITH ARDUINO COMPONENTS DIPLOMOVA´ PRA´ CE MASTER’S THESIS AUTOR PRA´ CE Bc. JAKUB Sˇ PLI´CHAL AUTHOR VEDOUCI´ PRA´ CE Ing. JAN SAMEK, Ph.D. SUPERVISOR BRNO 2012 Abstrakt Diplomova´pra´ce se zaby´va´vytvorˇenı´m bezdra´tove´senzorove´sı´teˇsestavene´z komponent Arduino. Pra´ce obsahuje sezna´menı´s platformou Arduino a jejı´mi mozˇnostmi v kombinaci s bezdra´tovy´mi moduly XBee. Du˚lezˇitou cˇa´stı´pra´ce je na´vrh bezdra´tove´sı´teˇz teˇchto komponent a aplikace pro zobrazenı´nameˇrˇeny´ch hodnot ze senzorovy´ch uzlu˚. Cı´lem pra´ce je vytvorˇenı´senzorove´sı´teˇs dyna- mickou topologiı´a prozkouma´nı´jejı´ho chova´nı´v rea´lne´m prostrˇedı´a vytvorˇenı´aplikace pro ulozˇenı´ a zobrazenı´nameˇrˇeny´ch dat z jednotlivy´ch senzorovy´ch uzlu˚. Abstract This thesis deals with the creation of wireless sensor networks consisting of components Arduino. The work includes introduction to the Arduino platform and its capabilities in combination with the wireless XBee modules. -
HOW to VISUALIZE YOUR GPU-ACCELERATED SIMULATION RESULTS Peter Messmer, NVIDIA
HOW TO VISUALIZE YOUR GPU-ACCELERATED SIMULATION RESULTS Peter Messmer, NVIDIA RANGE OF ANALYSIS AND VIZ TASKS . Analysis: Focus quantitative . Visualization: Focus qualitative . Monitoring, Steering TRADITIONAL HPC WORKFLOW Workstation Analysis, Setup Visualization Supercomputer Viz Cluster Dump, Checkpointing Visualization, Analysis File System TRADITIONAL WORKFLOW: CHALLENGES Lack of interactivity prevents “intuition” Workstation High-end viz Analysis, neglected due Setup Visualization to workflow complexity Supercomputer Viz Cluster Viz resources need I/O becomes main to scale with simulation Dump, simulation bottleneck Checkpointing Visualization, Analysis File System OUTLINE . Visualization applications . CUDA/OpenGL interop . Remote viz . Parallel viz . In-Situ viz High-level overview. Some parts platform dependent. Check with your sysadmin. VISUALIZATION APPLICATIONS NON-REPRESENTATIVE VIZ TOOLS SURVEY OF 25 HPC SITES Surveyed sites: LLNL LLNL- ORNL- AFRL- NASA- NERSC -OCF SCF LANL CCS DOD-ORC DSCR AFRL ARL ERDC NAVY MHPCC ORS CCAC NAS NASA-NCCS TACC CHPC RZG HLRN Julich CSCS CSC Hector Curie NON-REPRESENTATIVE VIZ TOOLS SURVEY OF 25 HPC SITES Surveyed sites: LLNL LLNL- ORNL- AFRL- NASA- NERSC -OCF SCF LANL CCS DOD-ORC DSCR AFRL ARL ERDC NAVY MHPCC ORS CCAC NAS NASA-NCCS TACC CHPC RZG HLRN Julich CSCS CSC Hector Curie VISIT . Scalar, vector and tensor field data features — Plots: contour, curve, mesh, pseudo-color, volume,.. — Operators: slice, iso-surface, threshold, binning,.. Quantitative and qualitative analysis/vis — Derived fields, dimension reduction, line-outs — Pick & query . Scalable architecture . Open source http://wci.llnl.gov/codes/visit/ VISIT . Cross-platform — Linux/Unix, OSX, Windows . Wide range of data formats — .vtk, .netcdf, .hdf5,.. Extensible — Plugin architecture . Embeddable . Python scriptable VISIT’S SCALABLE ARCHITECTURE . -
Package Name Software Description Project
A S T 1 Package Name Software Description Project URL 2 Autoconf An extensible package of M4 macros that produce shell scripts to automatically configure software source code packages https://www.gnu.org/software/autoconf/ 3 Automake www.gnu.org/software/automake 4 Libtool www.gnu.org/software/libtool 5 bamtools BamTools: a C++ API for reading/writing BAM files. https://github.com/pezmaster31/bamtools 6 Biopython (Python module) Biopython is a set of freely available tools for biological computation written in Python by an international team of developers www.biopython.org/ 7 blas The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. http://www.netlib.org/blas/ 8 boost Boost provides free peer-reviewed portable C++ source libraries. http://www.boost.org 9 CMake Cross-platform, open-source build system. CMake is a family of tools designed to build, test and package software http://www.cmake.org/ 10 Cython (Python module) The Cython compiler for writing C extensions for the Python language https://www.python.org/ 11 Doxygen http://www.doxygen.org/ FFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. It supports the most obscure ancient formats up to the cutting edge. No matter if they were designed by some standards 12 ffmpeg committee, the community or a corporation. https://www.ffmpeg.org FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and 13 fftw complex data (as well as of even/odd data, i.e. -
Upgrading and Performance Analysis of Thin Clients in Server Based Scientific Computing
Institutionen för Systemteknik Department of Electrical Engineering Examensarbete Upgrading and Performance Analysis of Thin Clients in Server Based Scientific Computing Master Thesis in ISY Communication System By Rizwan Azhar LiTH-ISY-EX - - 11/4388 - - SE Linköping 2011 Department of Electrical Engineering Linköpings Tekniska Högskola Linköpings universitet Linköpings universitet SE-581 83 Linköping, Sweden 581 83 Linköping, Sweden Upgrading and Performance Analysis of Thin Clients in Server Based Scientific Computing Master Thesis in ISY Communication System at Linköping Institute of Technology By Rizwan Azhar LiTH-ISY-EX - - 11/4388 - - SE Examiner: Dr. Lasse Alfredsson Advisor: Dr. Alexandr Malusek Supervisor: Dr. Peter Lundberg Presentation Date Department and Division 04-02-2011 Department of Electrical Engineering Publishing Date (Electronic version) Language Type of Publication ISBN (Licentiate thesis) X English Licentiate thesis ISRN: Other (specify below) X Degree thesis LiTH-ISY-EX - - 11/4388 - - SE Thesis C-level Thesis D-level Title of series (Licentiate thesis) 55 Report Number of Pages Other (specify below) Series number/ISSN (Licentiate thesis) URL, Electronic Version http://www.ep.liu.se Publication Title Upgrading and Performance Analysis of Thin Clients in Server Based Scientific Computing Author Rizwan Azhar Abstract Server Based Computing (SBC) technology allows applications to be deployed, managed, supported and executed on the server and not on the client; only the screen information is transmitted between the server and client. This architecture solves many fundamental problems with application deployment, technical support, data storage, hardware and software upgrades. This thesis is targeted at upgrading and evaluating performance of thin clients in scientific Server Based Computing (SBC). Performance of Linux based SBC was assessed via methods of both quantitative and qualitative research. -
Hard Real Time Quick EXAFS Data Acquisition with All Open Source Software on a Commodity Personal Computer Brookhaven National L
BNL-79366-2007-CP Hard Real Time Quick EXAFS Data Acquisition With All Open Source Software On A Commodity Personal Computer I. So, D.P. Siddons, W.A. Caliebe and S. Khalid Proceedings of Synchrotron Radiation Instrumentation (SRI 2007) Baton Rouge, LA / April 25 - 27, 2007 October 2007 National Synchrotron Light Source Brookhaven National Laboratory P.O. Box 5000 Upton, NY 11973-5000 www.bnl.gov Notice: This manuscript has been authored by employees of Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH10886 with the U.S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. This preprint is intended for publication in a journal or proceedings. Since changes may be made before publication, it may not be cited or reproduced without the author’s permission. BNL-79366-2007-CP DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or any third party’s use or the results of such use of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.