Benchmarking Porting Costs of the SKYNET High Performance Signal Processing Middleware
|
|
- Cameron Harrington
- 5 years ago
- Views:
Transcription
1 Benchmarking Porting Costs of the SKYNET High Performance Signal Processing Middleware Michael J. Linnig and Gary R. Suder Engineering Fellows Sept 12, 2014
2 Agenda The Need for Speed High Performance Parallel Processing in Airborne Radar Overview of SKYNET Middleware Approach History of SKYNET Middleware Grid Based Computing with SKYNET Measuring Portability Costs 2
3 Motivation for Skynet Signal Processing Middleware Multiple simultaneous receive beams. Prodigious Data Rates 100 s of millions of samples per second from each receive beam Tens of gigabytes per second Need Many Tens of TeraFLOPS 9/5/ Multiple Processor Software Architecture Needed
4 Single Program Multiple Data (SPMD) Programming Paradigm Decompose Computations Radar is an Embarrassingly Parallel Problem Each processor assigned a subset of the data Allocate to a Large Number of Processors Running in Parallel Each Processor Working On A Subset Of The Data Assigned subset may be based on geographic location, or other convenient scheme SKYNET Supports Multiple SPMD applications linked together
5 SKYNET Middleware A Portable Open Architecture for Massively Parallel Computing Solves an Embarrassingly Parallel Problem Open Architecture based on FOSS Supercomputer Standards 10 years+ on Wide Area Surveillance Radars. Nicknamed SKYNET with a nod to James Cameron Single Program Multiple Data (SPMD) Approach Abstraction is a Rectangular Grid of processors Based on decades of high-performance computing experience Grid abstraction is inherently scalable to a variable number of processors Supports compute power needed for Radar Radar Data Parallel Array of Processors Users include Raytheon, Northrop Grumman and five other companies Allows Hundreds of Processors to Be Netted Together
6 History of Skynet Signal Processing Middleware The originally on an Array Of Hundreds of COTS Digital Signal Processors Array Operating System (AOS) portion of the SKYNET middleware added grid-based inter-processor communication between applications. The SKYNET Middleware API isolates radar modes from the details of the underlying Operating System and Processor Modern Platforms In 2003, Northrop Grumman Corporation revised SKYNET middleware to use MPI protocol internally Raytheon Optimized the SKYNET Middleware on Linux Raytheon easily ported existing radar modes to an array of Linux based COTS high performance processors by using the SKYNET Middleware. Linux Open MPI 9/5/ Ported to six different architectures, including POWER and Intel
7 SKYNET Processor Middleware Approach Embrace COTS Signal Processors Use Middleware to isolate radar applications Built on Linux OS, to allow for easy migration to new processors Uses Widely Used Open Standards No Proprietary Interfaces Decomposed into two parts: Government owned SKYNET MetaWare a thin supercomputing framework that decouples radar applications from operating system and hardware dependency. Open Middleware A open compute environment, based on Linux and open standards, can be easily targeted to new hardware platforms. Uses Open Standards, Linux, DDS, POSIX Middleware Solution Features: Entire software stack is either Government owned or open standards High Performance Computing needed for Wide Area Surveillance Easy upgrades, multiple vendors of Linux processors Foundation of the SKYNET Middleware is Linux 7 SKYNET Enables Independent Procurement of Processor and Modes
8 The SKYNET Virtual Node Abstraction Communicating Virtual Nodes Middleware provides an abstraction called a Virtual Node, that is layered upon the real-time OS abstraction and the Message Passing Interface abstraction. A Virtual Node is a task that is defined to have four NEWS neighbors (North, East, West and South, hence NEWS.). This approach allows efficient algorithms spanning hundreds of processors. The resulting radar mode software is largely independent of the number and the kind of processors. Middleware abstraction hides all detail of communication Takes advantage of Multicore and Multiple CPU Processors Natural growth path to using processors with hundreds of cores on a single chip NEWS -- Cartesian Communication Optimized Other SKYNET Functions Semaphores Queues Mailboxes Timers Memory Management Task Management Periodic Alarms Logging Middleware Provides Operations that Operate Across Processor Boundaries Transparently
9 Benchmarking Middleware Portability Two Operational Radar Modes ported to Eight Different Vendor Platforms Modes had to meet existing execution requirements Changes to Modes SW documented Middleware 9/5/2014 Enabled Port of Modes to Most Platforms with no changes 9
10 Summary The SKYNET Middleware is an example Open Systems Architecture that allows rapid technology refresh A Signal Processing Middleware can be Open and Portable While Maintaining High Performance A Signal 9/5/2014Processing Middleware can be Portable and Efficient 10
IO virtualization. Michael Kagan Mellanox Technologies
IO virtualization Michael Kagan Mellanox Technologies IO Virtualization Mission non-stop s to consumers Flexibility assign IO resources to consumer as needed Agility assignment of IO resources to consumer
More informationLecture 9: MIMD Architectures
Lecture 9: MIMD Architectures Introduction and classification Symmetric multiprocessors NUMA architecture Clusters Zebo Peng, IDA, LiTH 1 Introduction MIMD: a set of general purpose processors is connected
More informationLecture 9: MIMD Architectures
Lecture 9: MIMD Architectures Introduction and classification Symmetric multiprocessors NUMA architecture Clusters Zebo Peng, IDA, LiTH 1 Introduction A set of general purpose processors is connected together.
More informationLecture 9: MIMD Architecture
Lecture 9: MIMD Architecture Introduction and classification Symmetric multiprocessors NUMA architecture Cluster machines Zebo Peng, IDA, LiTH 1 Introduction MIMD: a set of general purpose processors is
More informationCUDA GPGPU Workshop 2012
CUDA GPGPU Workshop 2012 Parallel Programming: C thread, Open MP, and Open MPI Presenter: Nasrin Sultana Wichita State University 07/10/2012 Parallel Programming: Open MP, MPI, Open MPI & CUDA Outline
More informationRadar Open System Architecture provides net centricity
Radar Open System Architecture provides net centricity The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation As Published Publisher
More informationChapter 4: Threads. Overview Multithreading Models Thread Libraries Threading Issues Operating System Examples Windows XP Threads Linux Threads
Chapter 4: Threads Overview Multithreading Models Thread Libraries Threading Issues Operating System Examples Windows XP Threads Linux Threads Chapter 4: Threads Objectives To introduce the notion of a
More informationManaging CAE Simulation Workloads in Cluster Environments
Managing CAE Simulation Workloads in Cluster Environments Michael Humphrey V.P. Enterprise Computing Altair Engineering humphrey@altair.com June 2003 Copyright 2003 Altair Engineering, Inc. All rights
More informationAn Introduction to QNX Transparent Distributed Processing
Yi Zheng, Product Manager, Safety and Security Products QNX Software Systems Limited yzheng@qnx.com Abstract In a conventional network, devices can share files and data with relative ease. Imagine, however,
More informationCDMI Support to Object Storage in Cloud K.M. Padmavathy Wipro Technologies
CDMI Support to Object Storage in Cloud K.M. Padmavathy Wipro Technologies Abstract Object storage, a leading emerging technology is mainly intended to handle exponential growth of unstructured data. Unlike
More informationhigh performance medical reconstruction using stream programming paradigms
high performance medical reconstruction using stream programming paradigms This Paper describes the implementation and results of CT reconstruction using Filtered Back Projection on various stream programming
More informationAgenda Process Concept Process Scheduling Operations on Processes Interprocess Communication 3.2
Lecture 3: Processes Agenda Process Concept Process Scheduling Operations on Processes Interprocess Communication 3.2 Process in General 3.3 Process Concept Process is an active program in execution; process
More informationWindows 7 Overview. Windows 7. Objectives. The History of Windows. CS140M Fall Lake 1
Windows 7 Overview Windows 7 Overview By Al Lake History Design Principles System Components Environmental Subsystems File system Networking Programmer Interface Lake 2 Objectives To explore the principles
More informationData-Centric Architecture for Space Systems
Data-Centric Architecture for Space Systems 3 rd Annual Workshop on Flight Software, Nov 5, 2009 The Real-Time Middleware Experts Rajive Joshi, Ph.D. Real-Time Innovations Our goals are the same but not
More informationOperating Systems Overview. Chapter 2
Operating Systems Overview Chapter 2 Operating System A program that controls the execution of application programs An interface between the user and hardware Masks the details of the hardware Layers and
More informationLecture 1: January 23
CMPSCI 677 Distributed and Operating Systems Spring 2019 Lecture 1: January 23 Lecturer: Prashant Shenoy Scribe: Jonathan Westin (2019), Bin Wang (2018) 1.1 Introduction to the course The lecture started
More informationIntroduction to Parallel Computing
Introduction to Parallel Computing This document consists of two parts. The first part introduces basic concepts and issues that apply generally in discussions of parallel computing. The second part consists
More information2/14/2012. Using a layered approach, the operating system is divided into N levels or layers. Also view as a stack of services
Rensselaer Polytechnic Institute CSC 432 Operating Systems David Goldschmidt, Ph.D. Using a layered approach, the operating system is divided into N levels or layers Layer 0 is the hardware Layer 1 is
More informationMotivation. Threads. Multithreaded Server Architecture. Thread of execution. Chapter 4
Motivation Threads Chapter 4 Most modern applications are multithreaded Threads run within application Multiple tasks with the application can be implemented by separate Update display Fetch data Spell
More informationSystems Ph.D. Qualifying Exam
Systems Ph.D. Qualifying Exam Spring 2011 (March 22, 2011) NOTE: PLEASE ATTEMPT 6 OUT OF THE 8 QUESTIONS GIVEN BELOW. Question 1 (Multicore) There are now multiple outstanding proposals and prototype systems
More informationOutline. Definition of a Distributed System Goals of a Distributed System Types of Distributed Systems
Distributed Systems Outline Definition of a Distributed System Goals of a Distributed System Types of Distributed Systems What Is A Distributed System? A collection of independent computers that appears
More informationParallel Computing Concepts. CSInParallel Project
Parallel Computing Concepts CSInParallel Project July 26, 2012 CONTENTS 1 Introduction 1 1.1 Motivation................................................ 1 1.2 Some pairs of terms...........................................
More informationThe Common Communication Interface (CCI)
The Common Communication Interface (CCI) Presented by: Galen Shipman Technology Integration Lead Oak Ridge National Laboratory Collaborators: Scott Atchley, George Bosilca, Peter Braam, David Dillow, Patrick
More informationCSE 4/521 Introduction to Operating Systems. Lecture 29 Windows 7 (History, Design Principles, System Components, Programmer Interface) Summer 2018
CSE 4/521 Introduction to Operating Systems Lecture 29 Windows 7 (History, Design Principles, System Components, Programmer Interface) Summer 2018 Overview Objective: To explore the principles upon which
More informationFLUID COMPUTING. ARC FORUM, India Ricky Watts Director of Industrial Solutions, Wind River IN A SOFTWARE-DEFINED WORLD
FLUID COMPUTING IN A SOFTWARE-DEFINED WORLD ARC FORUM, India Ricky Watts Director of Industrial Solutions, Wind River Chemical Sector Commercial Building Sector Communications Sector Critical Manufacturing
More informationChapter 4: Threads. Chapter 4: Threads. Overview Multicore Programming Multithreading Models Thread Libraries Implicit Threading Threading Issues
Chapter 4: Threads Silberschatz, Galvin and Gagne 2013 Chapter 4: Threads Overview Multicore Programming Multithreading Models Thread Libraries Implicit Threading Threading Issues 4.2 Silberschatz, Galvin
More informationIntroduction to Operating. Chapter Chapter
Introduction to Operating Systems Chapter 1 1.3 Chapter 1.5 1.9 Learning Outcomes High-level understand what is an operating system and the role it plays A high-level understanding of the structure of
More informationTOOLS FOR IMPROVING CROSS-PLATFORM SOFTWARE DEVELOPMENT
TOOLS FOR IMPROVING CROSS-PLATFORM SOFTWARE DEVELOPMENT Eric Kelmelis 28 March 2018 OVERVIEW BACKGROUND Evolution of processing hardware CROSS-PLATFORM KERNEL DEVELOPMENT Write once, target multiple hardware
More informationLinux Automation.
Linux Automation Using Red Hat Enterprise Linux to extract maximum value from IT infrastructure www.redhat.com Table of contents Summary statement Page 3 Background Page 4 Creating a more efficient infrastructure:
More informationONUG SDN Federation/Operability
ONUG SDN Federation/Operability Orchestration A white paper from the ONUG SDN Federation/Operability Working Group May, 2016 Definition of Open Networking Open networking is a suite of interoperable software
More informationLesson 6 Programming Arduino Example 9.7. Chapter-9 L06: "Internet of Things ", Raj Kamal, Publs.: McGraw-Hill Education
Lesson 6 Programming Arduino Example 9.7 1 Multitasking Environment A multitasking environment consists of multiple processes, tasks or threads. Consider Example 9.1. A set of Functions void north_south_green
More information(ii) Why are we going to multi-core chips to find performance? Because we have to.
CSE 30321 Computer Architecture I Fall 2009 Lab 06 Introduction to Multi-core Processors and Parallel Programming Assigned: November 3, 2009 Due: November 17, 2009 1. Introduction: This lab will introduce
More information6.1 Multiprocessor Computing Environment
6 Parallel Computing 6.1 Multiprocessor Computing Environment The high-performance computing environment used in this book for optimization of very large building structures is the Origin 2000 multiprocessor,
More informationIntroduction to Operating Systems. Chapter Chapter
Introduction to Operating Systems Chapter 1 1.3 Chapter 1.5 1.9 Learning Outcomes High-level understand what is an operating system and the role it plays A high-level understanding of the structure of
More informationDistributed Systems LEEC (2006/07 2º Sem.)
Distributed Systems LEEC (2006/07 2º Sem.) Introduction João Paulo Carvalho Universidade Técnica de Lisboa / Instituto Superior Técnico Outline Definition of a Distributed System Goals Connecting Users
More informationOPERATING SYSTEM. Chapter 4: Threads
OPERATING SYSTEM Chapter 4: Threads Chapter 4: Threads Overview Multicore Programming Multithreading Models Thread Libraries Implicit Threading Threading Issues Operating System Examples Objectives To
More informationAdvances of parallel computing. Kirill Bogachev May 2016
Advances of parallel computing Kirill Bogachev May 2016 Demands in Simulations Field development relies more and more on static and dynamic modeling of the reservoirs that has come a long way from being
More informationOpen Server Architecture
EAB/OP-08:0052 Uen Rev A Open Server Architecture April 2008 Technology Paper The Open Server Architecture is flexible, open and easier to build applications on. This is achieved primarily through open
More informationVEOS high level design. Revision 2.1 NEC
high level design Revision 2.1 NEC Table of contents About this document What is Components Process management Memory management System call Signal User mode DMA and communication register Feature list
More informationIntroduction to Operating Systems. Chapter Chapter
Introduction to Operating Systems Chapter 1 1.3 Chapter 1.5 1.9 Learning Outcomes High-level understand what is an operating system and the role it plays A high-level understanding of the structure of
More informationAim High. Intel Technical Update Teratec 07 Symposium. June 20, Stephen R. Wheat, Ph.D. Director, HPC Digital Enterprise Group
Aim High Intel Technical Update Teratec 07 Symposium June 20, 2007 Stephen R. Wheat, Ph.D. Director, HPC Digital Enterprise Group Risk Factors Today s s presentations contain forward-looking statements.
More informationVeritas Storage Foundation from Symantec
Simplified, Scalable and Cost-Effective Storage Management Overviewview provides a complete solution for heterogeneous online storage management. Based on the industry-leading Veritas Volume Manager from
More informationExtreme-Scale Operating Systems
Extreme-Scale Operating Systems Rolf Riesen 23 August 2016 Copyright c 2016 Intel Corporation. All rights reserved. ROME Legal Disclaimer Intel and the Intel logo are trademarks of Intel Corporation in
More informationChapter 4: Threads. Chapter 4: Threads
Chapter 4: Threads Silberschatz, Galvin and Gagne 2013 Chapter 4: Threads Overview Multicore Programming Multithreading Models Thread Libraries Implicit Threading Threading Issues Operating System Examples
More informationTDP3471 Distributed and Parallel Computing
TDP3471 Distributed and Parallel Computing Lecture 1 Dr. Ian Chai ianchai@mmu.edu.my FIT Building: Room BR1024 Office : 03-8312-5379 Schedule for Dr. Ian (including consultation hours) available at http://pesona.mmu.edu.my/~ianchai/schedule.pdf
More informationHigh Performance Computing Course Notes Course Administration
High Performance Computing Course Notes 2009-2010 2010 Course Administration Contacts details Dr. Ligang He Home page: http://www.dcs.warwick.ac.uk/~liganghe Email: liganghe@dcs.warwick.ac.uk Office hours:
More informationLecture 1: January 22
CMPSCI 677 Distributed and Operating Systems Spring 2018 Lecture 1: January 22 Lecturer: Prashant Shenoy Scribe: Bin Wang 1.1 Introduction to the course The lecture started by outlining the administrative
More informationCSE 5306 Distributed Systems. Course Introduction
CSE 5306 Distributed Systems Course Introduction 1 Instructor and TA Dr. Donggang Liu @ CSE Web: http://ranger.uta.edu/~dliu Email: dliu@uta.edu Phone: 817-2720741 Office: ERB 555 Office hours: Tus/Ths
More informationLow Cost Supercomputing. Rajkumar Buyya, Monash University, Melbourne, Australia. Parallel Processing on Linux Clusters
N Low Cost Supercomputing o Parallel Processing on Linux Clusters Rajkumar Buyya, Monash University, Melbourne, Australia. rajkumar@ieee.org http://www.dgs.monash.edu.au/~rajkumar Agenda Cluster? Enabling
More informationAN INTEGRATED DEVELOPMENT / RUN-TIME ENVIRONMENT
AN INTEGRATED DEVELOPMENT / RUN-TIME ENVIRONMENT William Cave & Robert Wassmer - May 12, 2012 INTRODUCTION The need for an integrated software development / run-time environment is motivated by requirements
More informationData Model Considerations for Radar Systems
WHITEPAPER Data Model Considerations for Radar Systems Executive Summary The market demands that today s radar systems be designed to keep up with a rapidly changing threat environment, adapt to new technologies,
More informationChapter 4: Multithreaded Programming
Chapter 4: Multithreaded Programming Silberschatz, Galvin and Gagne 2013! Chapter 4: Multithreaded Programming Overview Multicore Programming Multithreading Models Threading Issues Operating System Examples
More informationCisco CloudCenter Solution Use Case: Application Migration and Management
Cisco CloudCenter Solution Use Case: Application Migration and Management Application migration and management Cloud computing is here to stay. According to recent Gartner research 1, from 2011 to 2014
More informationOperating Systems Overview. Chapter 2
1 Operating Systems Overview 2 Chapter 2 3 An operating System: The interface between hardware and the user From the user s perspective: OS is a program that controls the execution of application programs
More information2008 Chapter-8 L1: "Embedded Systems - Architecture, Programming and Design", Raj Kamal, Publs.: McGraw-Hill, Inc.
REAL TIME OPERATING SYSTEMS Lesson-1: OPERATING SYSTEM SERVICES GOAL, MODES AND STRUCTURE 1 1. OS Services Goal 2 Goal The OS Service Goal Perfection and correctness during a service 3 OS Services Goal
More informationCycle Sharing Systems
Cycle Sharing Systems Jagadeesh Dyaberi Dependable Computing Systems Lab Purdue University 10/31/2005 1 Introduction Design of Program Security Communication Architecture Implementation Conclusion Outline
More informationData storage services at KEK/CRC -- status and plan
Data storage services at KEK/CRC -- status and plan KEK/CRC Hiroyuki Matsunaga Most of the slides are prepared by Koichi Murakami and Go Iwai KEKCC System Overview KEKCC (Central Computing System) The
More informationUsing a Hypervisor to Manage Multi-OS Systems Cory Bialowas, Product Manager
Using a Hypervisor to Manage Multi-OS Systems Cory Bialowas, Product Manager cory.bialowas@windriver.com Trends, Disruptions and Opportunity Wasn t life simple? Single-OS: SMP OS OS CPU Single Core Virtualization
More informationCPS221 Lecture: Operating System Functions
CPS221 Lecture: Operating System Functions Objectives last revised 6/23/10 1. To overview key hardware concepts 2. To iintroduce the process concept 3. To discuss the various kinds of functionality of
More informationVMware vsphere 4 and Cisco Nexus 1000V Series: Accelerate Data Center Virtualization
VMware vsphere 4 and Cisco Nexus 1000V Series: Accelerate Data Center Virtualization Executive Summary VMware for the past decade has been the thought leader in driving virtualization of the data center
More informationParallel and Distributed Computing
Parallel and Distributed Computing NUMA; OpenCL; MapReduce José Monteiro MSc in Information Systems and Computer Engineering DEA in Computational Engineering Department of Computer Science and Engineering
More informationReactive Systems. Dave Farley.
Reactive Systems Dave Farley http://www.davefarley.net @davefarley77 Reactive Systems 21st Century Architecture for 21st Century Problems Dave Farley http://www.davefarley.net @davefarley77 http://www.continuous-delivery.co.uk
More informationDistributed OS and Algorithms
Distributed OS and Algorithms Fundamental concepts OS definition in general: OS is a collection of software modules to an extended machine for the users viewpoint, and it is a resource manager from the
More informationRapidIO.org Update. Mar RapidIO.org 1
RapidIO.org Update rickoco@rapidio.org Mar 2015 2015 RapidIO.org 1 Outline RapidIO Overview & Markets Data Center & HPC Communications Infrastructure Industrial Automation Military & Aerospace RapidIO.org
More information! Readings! ! Room-level, on-chip! vs.!
1! 2! Suggested Readings!! Readings!! H&P: Chapter 7 especially 7.1-7.8!! (Over next 2 weeks)!! Introduction to Parallel Computing!! https://computing.llnl.gov/tutorials/parallel_comp/!! POSIX Threads
More informationMay 1, Foundation for Research and Technology - Hellas (FORTH) Institute of Computer Science (ICS) A Sleep-based Communication Mechanism to
A Sleep-based Our Akram Foundation for Research and Technology - Hellas (FORTH) Institute of Computer Science (ICS) May 1, 2011 Our 1 2 Our 3 4 5 6 Our Efficiency in Back-end Processing Efficiency in back-end
More informationData Path acceleration techniques in a NFV world
Data Path acceleration techniques in a NFV world Mohanraj Venkatachalam, Purnendu Ghosh Abstract NFV is a revolutionary approach offering greater flexibility and scalability in the deployment of virtual
More informationChapter 4: Threads. Chapter 4: Threads
Chapter 4: Threads Silberschatz, Galvin and Gagne 2009 Chapter 4: Threads Overview Multithreading Models Thread Libraries Threading Issues Operating System Examples Windows XP Threads Linux Threads 4.2
More information2011 IBM Research Strategic Initiative: Workload Optimized Systems
PIs: Michael Hind, Yuqing Gao Execs: Brent Hailpern, Toshio Nakatani, Kevin Nowka 2011 IBM Research Strategic Initiative: Workload Optimized Systems Yuqing Gao IBM Research 2011 IBM Corporation Motivation
More informationCSCI 8530 Advanced Operating Systems. Part 19 Virtualization
CSCI 8530 Advanced Operating Systems Part 19 Virtualization Virtualization This is a very old idea It appears in many different forms A variety of commercial products exist The idea has become hot again
More informationGreen Hills Software, Inc.
Green Hills Software, Inc. A Safe Tasking Approach to Ada95 Jim Gleason Engineering Manager Ada Products 5.0-1 Overview Multiple approaches to safe tasking with Ada95 No Tasking - SPARK Ada95 Restricted
More informationVirtualization. Application Application Application. MCSN - N. Tonellotto - Distributed Enabling Platforms OPERATING SYSTEM OPERATING SYSTEM
Virtualization lication lication lication lication lication lication OPERATING SYSTEM OPERATING SYSTEM VIRTUALIZATION 1 Basic Idea Observation Hardware resources are typically under-utilized Hardware resources
More informationDesigning Modern Apps Using New Capabilities in Microsoft Azure SQL Database. Bill Gibson, Principal Program Manager, SQL Database
Designing Modern Apps Using New Capabilities in Microsoft Azure SQL Database Bill Gibson, Principal Program Manager, SQL Database Topics Case for Change Performance Business Continuity Case for Change
More informationLarge Scale Parallel Lattice Boltzmann Model of Dendritic Growth
Large Scale Parallel Lattice Boltzmann Model of Dendritic Growth Bohumir Jelinek Mohsen Eshraghi Sergio Felicelli CAVS, Mississippi State University March 3-7, 2013 San Antonio, Texas US Army Corps of
More informationIntroduction. Network Architecture Requirements of Data Centers in the Cloud Computing Era
Massimiliano Sbaraglia Network Engineer Introduction In the cloud computing era, distributed architecture is used to handle operations of mass data, such as the storage, mining, querying, and searching
More informationGoAhead Software NDIA Systems Engineering 2010
GoAhead Software NDIA Systems Engineering 2010 High Availability and Fault Management in Objective Architecture Systems Steve Mills, Senior Systems Architect Outline Standards/COTS and the Mission-Critical
More information"Software-defined storage Crossing the right bridge"
Navigating the software-defined storage world shaping tomorrow with you René Huebel "Software-defined storage Crossing the right bridge" SDS the model and the promises Control Abstraction The promises
More informationOMG Real Time Workshop
OMG Real Time Workshop ORB Inter-Operability Testing Traci McDonald NSWCDD Charlie Fudge NSWCDD 1 Purpose Purpose of the Presentation Present motivation for the task and a sample of the results of inter-operability
More informationConcepts of Distributed Systems 2006/2007
Concepts of Distributed Systems 2006/2007 Introduction & overview Johan Lukkien 1 Introduction & overview Communication Distributed OS & Processes Synchronization Security Consistency & replication Programme
More informationDesign of Parallel Programs Algoritmi e Calcolo Parallelo. Daniele Loiacono
Design of Parallel Programs Algoritmi e Calcolo Parallelo Web: home.dei.polimi.it/loiacono Email: loiacono@elet.polimi.it References q The material in this set of slide is taken from two tutorials by Blaise
More informationDistributed Virtual Reality Computation
Jeff Russell 4/15/05 Distributed Virtual Reality Computation Introduction Virtual Reality is generally understood today to mean the combination of digitally generated graphics, sound, and input. The goal
More informationA Global Operating System for HPC Clusters
A Global Operating System Emiliano Betti 1 Marco Cesati 1 Roberto Gioiosa 2 Francesco Piermaria 1 1 System Programming Research Group, University of Rome Tor Vergata 2 BlueGene Software Division, IBM TJ
More informationOperating Systems 2010/2011
Operating Systems 2010/2011 Introduction Johan Lukkien 1 Agenda OS: place in the system Some common notions Motivation & OS tasks Extra-functional requirements Course overview Read chapters 1 + 2 2 A computer
More informationEI 338: Computer Systems Engineering (Operating Systems & Computer Architecture)
EI 338: Computer Systems Engineering (Operating Systems & Computer Architecture) Dept. of Computer Science & Engineering Chentao Wu wuct@cs.sjtu.edu.cn Download lectures ftp://public.sjtu.edu.cn User:
More informationIBM Bluemix compute capabilities IBM Corporation
IBM Bluemix compute capabilities After you complete this section, you should understand: IBM Bluemix infrastructure compute options Bare metal servers Virtual servers IBM Bluemix Container Service IBM
More informationSOFTWARE COMMUNICATIONS ARCHITECTURE SPECIFICATION VERSION 4.1 FEATURES AND BENEFITS
SCA 4.1 Features and Benefits Version: 1.0 SOFTWARE COMMUNICATIONS ARCHITECTURE SPECIFICATION VERSION 4.1 FEATURES AND BENEFITS Version: 1.0 Prepared by: Joint Tactical Networking Center 33000 Nixie Way
More information6WINDGate. White Paper. Packet Processing Software for Wireless Infrastructure
Packet Processing Software for Wireless Infrastructure Last Update: v1.0 - January 2011 Performance Challenges for Wireless Networks As advanced services proliferate and video consumes an ever-increasing
More information"Multicore programming" No more communication in your program, the key to multi-core and distributed programming.
"Multicore programming" No more communication in your program, the key to multi-core and distributed programming. Eric.Verhulst@OpenLicenseSociety.org Commercialised by: 1 Content About Moore s imperfect
More informationGPUfs: Integrating a file system with GPUs
GPUfs: Integrating a file system with GPUs Mark Silberstein (UT Austin/Technion) Bryan Ford (Yale), Idit Keidar (Technion) Emmett Witchel (UT Austin) 1 Traditional System Architecture Applications OS CPU
More informationDynamic Partitioned Global Address Spaces for Power Efficient DRAM Virtualization
Dynamic Partitioned Global Address Spaces for Power Efficient DRAM Virtualization Jeffrey Young, Sudhakar Yalamanchili School of Electrical and Computer Engineering, Georgia Institute of Technology Talk
More informationChapter 5: Processes & Process Concept. Objectives. Process Concept Process Scheduling Operations on Processes. Communication in Client-Server Systems
Chapter 5: Processes Chapter 5: Processes & Threads Process Concept Process Scheduling Operations on Processes Interprocess Communication Communication in Client-Server Systems, Silberschatz, Galvin and
More informationData Sheet: Storage Management Veritas Storage Foundation by Symantec Heterogeneous online storage management
Heterogeneous online storage management Overview Veritas Storage Foundation provides a complete solution for heterogeneous online storage management. Based on the industry-leading Veritas Volume Manager
More informationTITANIUM CLOUD VIRTUALIZATION PLATFORM
TITANIUM CLOUD VIRTUALIZATION PLATFORM Glenn Seiler Software Defined Infrastructure BU 30 Minutes 12 Content Slides 2017 WIND RIVER. ALL RIGHTS RESERVED. Wind River Titanium Cloud Titanium Cloud is a cloud
More informationAUTOBEST: A United AUTOSAR-OS And ARINC 653 Kernel. Alexander Züpke, Marc Bommert, Daniel Lohmann
AUTOBEST: A United AUTOSAR-OS And ARINC 653 Kernel Alexander Züpke, Marc Bommert, Daniel Lohmann alexander.zuepke@hs-rm.de, marc.bommert@hs-rm.de, lohmann@cs.fau.de Motivation Automotive and Avionic industry
More informationMilitary Messaging. Over Low. Bandwidth. Connections
Military Messaging Over Low Bandwidth Connections White Paper Contents Paper Overview 3 The Technical Challenges 4 Low Bandwidth 4 High Latency 4 High Error Rates 4 Multicast 4 Emission Control (EMCON)
More information5 reasons why choosing Apache Cassandra is planning for a multi-cloud future
White Paper 5 reasons why choosing Apache Cassandra is planning for a multi-cloud future Abstract We have been hearing for several years now that multi-cloud deployment is something that is highly desirable,
More informationInfoBrief. Platform ROCKS Enterprise Edition Dell Cluster Software Offering. Key Points
InfoBrief Platform ROCKS Enterprise Edition Dell Cluster Software Offering Key Points High Performance Computing Clusters (HPCC) offer a cost effective, scalable solution for demanding, compute intensive
More informationContainer Adoption for NFV Challenges & Opportunities. Sriram Natarajan, T-Labs Silicon Valley Innovation Center
Container Adoption for NFV Challenges & Opportunities Sriram Natarajan, T-Labs Silicon Valley Innovation Center Virtual Machine vs. Container Stack KVM Container-stack Libraries Guest-OS Hypervisor Libraries
More informationAdvanced Software for the Supercomputer PRIMEHPC FX10. Copyright 2011 FUJITSU LIMITED
Advanced Software for the Supercomputer PRIMEHPC FX10 System Configuration of PRIMEHPC FX10 nodes Login Compilation Job submission 6D mesh/torus Interconnect Local file system (Temporary area occupied
More informationChapter 4: Multithreaded Programming
Chapter 4: Multithreaded Programming Silberschatz, Galvin and Gagne 2013 Chapter 4: Multithreaded Programming Overview Multicore Programming Multithreading Models Thread Libraries Implicit Threading Threading
More information