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Efficient Inter-Core Communications on Manycore Machines
ZIMP: Efficient Inter-core Communications on Manycore Machines Pierre-Louis Aublin Sonia Ben Mokhtar Gilles Muller Vivien Quema´ Grenoble University CNRS - LIRIS INRIA CNRS - LIG Abstract—Modern computers have an increasing num- nication mechanisms enabling both one-to-one and one- ber of cores and, as exemplified by the recent Barrelfish to-many communications. Current operating systems operating system, the software they execute increasingly provide various inter-core communication mechanisms. resembles distributed, message-passing systems. To sup- port this evolution, there is a need for very efficient However it is not clear yet how these mechanisms be- inter-core communication mechanisms. Current operat- have on manycore processors, especially when messages ing systems provide various inter-core communication are intended to many recipient cores. mechanisms, but it is not clear yet how they behave In this report, we study seven communication mech- on manycore processors. In this report, we study seven anisms, which are considered state-of-the-art. More mechanisms, that are considered state-of-the-art. We show that these mechanisms have two main drawbacks that precisely, we study TCP, UDP and Unix domain sock- limit their efficiency: they perform costly memory copy ets, pipes, IPC and POSIX message queues. These operations and they do not provide efficient support mechanisms are supported by traditional operating sys- for one-to-many communications. We do thus propose tems such as Linux. We also study Barrelfish message ZIMP, a new inter-core communication mechanism that passing, the inter-process communication mechanism of implements zero-copy inter-core message communications and that efficiently handles one-to-many communications. -
D-Bus, the Message Bus System Training Material
Maemo Diablo D-Bus, The Message Bus System Training Material February 9, 2009 Contents 1 D-Bus, The Message Bus System 2 1.1 Introduction to D-Bus ......................... 2 1.2 D-Bus architecture and terminology ................ 3 1.3 Addressing and names in D-Bus .................. 4 1.4 Role of D-Bus in maemo ....................... 6 1.5 Programming directly with libdbus ................. 9 1 Chapter 1 D-Bus, The Message Bus System 1.1 Introduction to D-Bus D-Bus (the D originally stood for "Desktop") is a relatively new inter process communication (IPC) mechanism designed to be used as a unified middleware layer in free desktop environments. Some example projects where D-Bus is used are GNOME and Hildon. Compared to other middleware layers for IPC, D-Bus lacks many of the more refined (and complicated) features and for that reason, is faster and simpler. D-Bus does not directly compete with low level IPC mechanisms like sock- ets, shared memory or message queues. Each of these mechanisms have their uses, which normally do not overlap the ones in D-Bus. Instead, D-Bus aims to provide higher level functionality, like: Structured name spaces • Architecture independent data formatting • Support for the most common data elements in messages • A generic remote call interface with support for exceptions (errors) • A generic signalling interface to support "broadcast" type communication • Clear separation of per-user and system-wide scopes, which is important • when dealing with multi-user systems Not bound to any specific programming language (while providing a • design that readily maps to most higher level languages, via language specific bindings) The design of D-Bus benefits from the long experience of using other mid- dleware IPC solutions in the desktop arena and this has allowed the design to be optimised. -
Beej's Guide to Unix IPC
Beej's Guide to Unix IPC Brian “Beej Jorgensen” Hall [email protected] Version 1.1.3 December 1, 2015 Copyright © 2015 Brian “Beej Jorgensen” Hall This guide is written in XML using the vim editor on a Slackware Linux box loaded with GNU tools. The cover “art” and diagrams are produced with Inkscape. The XML is converted into HTML and XSL-FO by custom Python scripts. The XSL-FO output is then munged by Apache FOP to produce PDF documents, using Liberation fonts. The toolchain is composed of 100% Free and Open Source Software. Unless otherwise mutually agreed by the parties in writing, the author offers the work as-is and makes no representations or warranties of any kind concerning the work, express, implied, statutory or otherwise, including, without limitation, warranties of title, merchantibility, fitness for a particular purpose, noninfringement, or the absence of latent or other defects, accuracy, or the presence of absence of errors, whether or not discoverable. Except to the extent required by applicable law, in no event will the author be liable to you on any legal theory for any special, incidental, consequential, punitive or exemplary damages arising out of the use of the work, even if the author has been advised of the possibility of such damages. This document is freely distributable under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. See the Copyright and Distribution section for details. Copyright © 2015 Brian “Beej Jorgensen” Hall Contents 1. Intro................................................................................................................................................................1 1.1. Audience 1 1.2. Platform and Compiler 1 1.3. -
Inter-Process Communication, Analysis, Guidelines and Its Impact on Computer Security
The 7th International Conference for Informatics and Information Technology (CIIT 2010) INTER-PROCESS COMMUNICATION, ANALYSIS, GUIDELINES AND ITS IMPACT ON COMPUTER SECURITY Zoran Spasov Ph.D. Ana Madevska Bogdanova T-Mobile Macedonia Institute of Informatics, FNSM Skopje, Macedonia Skopje, Macedonia ABSTRACT Finally the conclusion will offer a summary of the available programming techniques and implementations for the In this paper we look at the inter-process communication Windows platforms. We will note the security risks and the (IPC) also known as inter-thread or inter-application best practices to avoid them. communication from other knowledge sources. We will look and analyze the different types of IPC in the Microsoft II. INTER -PROCESS COMMUNICATION (IPC) Windows operating system, their implementation and the usefulness of this kind of approach in the terms of Inter-Process Communication (IPC) stands for many communication between processes. Only local techniques for the exchange of data among threads in one or implementation of the IPC will be addressed in this paper. more processes - one-directional or two-directional. Processes Special emphasis will be given to the system mechanisms that may be running locally or on many different computers are involved with the creation, management, and use of connected by a network. We can divide the IPC techniques named pipes and sockets. into groups of methods, grouped by their way of This paper will discuss some of the IPC options and communication: message passing, synchronization, shared techniques that are available to Microsoft Windows memory and remote procedure calls (RPC). We should programmers. We will make a comparison between Microsoft carefully choose the IPC method depending on data load that remoting and Microsoft message queues (pros and cons). -
An Introduction to Linux IPC
An introduction to Linux IPC Michael Kerrisk © 2013 linux.conf.au 2013 http://man7.org/ Canberra, Australia [email protected] 2013-01-30 http://lwn.net/ [email protected] man7 .org 1 Goal ● Limited time! ● Get a flavor of main IPC methods man7 .org 2 Me ● Programming on UNIX & Linux since 1987 ● Linux man-pages maintainer ● http://www.kernel.org/doc/man-pages/ ● Kernel + glibc API ● Author of: Further info: http://man7.org/tlpi/ man7 .org 3 You ● Can read a bit of C ● Have a passing familiarity with common syscalls ● fork(), open(), read(), write() man7 .org 4 There’s a lot of IPC ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memory attach ● Pseudoterminals ● proc_vm_readv() / proc_vm_writev() ● Sockets ● Signals ● Stream vs Datagram (vs Seq. packet) ● Standard, Realtime ● UNIX vs Internet domain ● Eventfd ● POSIX message queues ● Futexes ● POSIX shared memory ● Record locks ● ● POSIX semaphores File locks ● ● Named, Unnamed Mutexes ● System V message queues ● Condition variables ● System V shared memory ● Barriers ● ● System V semaphores Read-write locks man7 .org 5 It helps to classify ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memory attach ● Pseudoterminals ● proc_vm_readv() / proc_vm_writev() ● Sockets ● Signals ● Stream vs Datagram (vs Seq. packet) ● Standard, Realtime ● UNIX vs Internet domain ● Eventfd ● POSIX message queues ● Futexes ● POSIX shared memory ● Record locks ● ● POSIX semaphores File locks ● ● Named, Unnamed Mutexes ● System V message queues ● Condition variables ● System V shared memory ● Barriers ● ● System V semaphores Read-write locks man7 .org 6 It helps to classify ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memoryn attach ● Pseudoterminals tio a ● proc_vm_readv() / proc_vm_writev() ● Sockets ic n ● Signals ● Stream vs Datagram (vs uSeq. -
Message Passing Model
Message Passing Model Giuseppe Anastasi [email protected] Pervasive Computing & Networking Lab. (PerLab) Dept. of Information Engineering, University of Pisa PerLab Based on original slides by Silberschatz, Galvin and Gagne Overview PerLab Message Passing Model Addressing Synchronization Example of IPC systems Message Passing Model 2 Operating Systems Objectives PerLab To introduce an alternative solution (to shared memory) for process cooperation To show pros and cons of message passing vs. shared memory To show some examples of message-based communication systems Message Passing Model 3 Operating Systems Inter-Process Communication (IPC) PerLab Message system – processes communicate with each other without resorting to shared variables. IPC facility provides two operations: send (message ) – fixed or variable message size receive (message ) If P and Q wish to communicate, they need to: establish a communication link between them exchange messages via send/receive The communication link is provided by the OS Message Passing Model 4 Operating Systems Implementation Issues PerLab Physical implementation Single-processor system Shared memory Multi-processor systems Hardware bus Distributed systems Networking System + Communication networks Message Passing Model 5 Operating Systems Implementation Issues PerLab Logical properties Can a link be associated with more than two processes? How many links can there be between every pair of communicating processes? What is the capacity of a link? Is the size of a message that the link can accommodate fixed or variable? Is a link unidirectional or bi-directional? Message Passing Model 6 Operating Systems Implementation Issues PerLab Other Aspects Addressing Synchronization Buffering Message Passing Model 7 Operating Systems Overview PerLab Message Passing Model Addressing Synchronization Example of IPC systems Message Passing Model 8 Operating Systems Direct Addressing PerLab Processes must name each other explicitly. -
CS 5600 Computer Systems
CS 5600 Computer Systems Lecture 4: Programs, Processes, and Threads • Programs • Processes • Context Switching • Protected Mode Execution • Inter-process Communication • Threads 2 Running Dynamic Code • One basic function of an OS is to execute and manage code dynamically, e.g.: – A command issued at a command line terminal – An icon double clicked from the desktop – Jobs/tasks run as part of a batch system (MapReduce) • A process is the basic unit of a program in execution 3 Programs and Processes Process The running instantiation of a program, stored in RAM Program An executable file in long-term One-to-many storage relationship between program and processes 4 How to Run a Program? • When you double-click on an .exe, how does the OS turn the file on disk into a process? • What information must the .exe file contain in order to run as a program? 5 Program Formats • Programs obey specific file formats – CP/M and DOS: COM executables (*.com) – DOS: MZ executables (*.exe) • Named after Mark Zbikowski, a DOS developer – Windows Portable Executable (PE, PE32+) (*.exe) • Modified version of Unix COFF executable format • PE files start with an MZ header. – Mac OSX: Mach object file format (Mach-O) – Unix/Linux: Executable and Linkable Format (ELF) • designed to be flexible and extensible • all you need to know to load and start execution regardless of architecture 6 ABI - Application Binary Interface • interface between 2 programs at the binary (machine code) level – informally, similar to API but on bits and bytes • Calling conventions – -
Message Passing
COS 318: Operating Systems Message Passing Jaswinder Pal Singh Computer Science Department Princeton University (http://www.cs.princeton.edu/courses/cos318/) Sending A Message Within A Computer Across A Network P1 P2 Send() Recv() Send() Recv() Network OS Kernel OS OS COS461 2 Synchronous Message Passing (Within A System) Synchronous send: u Call send system call with M u send system call: l No buffer in kernel: block send( M ) recv( M ) l Copy M to kernel buffer Synchronous recv: u Call recv system call M u recv system call: l No M in kernel: block l Copy to user buffer How to manage kernel buffer? 3 API Issues u Message S l Buffer (addr) and size l Message type, buffer and size u Destination or source send(dest, msg) R l Direct address: node Id, process Id l Indirect address: mailbox, socket, recv(src, msg) channel, … 4 Direct Addressing Example Producer(){ Consumer(){ ... ... while (1) { for (i=0; i<N; i++) produce item; send(Producer, credit); recv(Consumer, &credit); while (1) { send(Consumer, item); recv(Producer, &item); } send(Producer, credit); } consume item; } } u Does this work? u Would it work with multiple producers and 1 consumer? u Would it work with 1 producer and multiple consumers? u What about multiple producers and multiple consumers? 5 Indirect Addressing Example Producer(){ Consumer(){ ... ... while (1) { for (i=0; i<N; i++) produce item; send(prodMbox, credit); recv(prodMbox, &credit); while (1) { send(consMbox, item); recv(consMbox, &item); } send(prodMbox, credit); } consume item; } } u Would it work with multiple producers and 1 consumer? u Would it work with 1 producer and multiple consumers? u What about multiple producers and multiple consumers? 6 Indirect Communication u Names l mailbox, socket, channel, … u Properties l Some allow one-to-one mbox (e.g. -
Open Message Queue Technical Overview Release 5.0
Open Message Queue Technical Overview Release 5.0 May 2013 This book provides an introduction to the technology, concepts, architecture, capabilities, and features of the Message Queue messaging service. Open Message Queue Technical Overview, Release 5.0 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data delivered to U.S. Government customers are "commercial computer software" or "commercial technical data" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, the use, duplication, disclosure, modification, and adaptation shall be subject to the restrictions and license terms set forth in the applicable Government contract, and, to the extent applicable by the terms of the Government contract, the additional rights set forth in FAR 52.227-19, Commercial Computer Software License (December 2007). -
Half-Process: a Process Partially Sharing Its Address Space with Other Processes
Electronic Preprint for Journal of Information Processing Vol.20 No.1 Regular Paper Half-process: A Process Partially Sharing Its Address Space with Other Processes Kentaro Hara1,a) Kenjiro Taura1 Received: March 31, 2011, Accepted: September 12, 2011 Abstract: Threads share a single address space with each other. On the other hand, a process has its own address space. Since whether to share or not to share the address space depends on each data structure in the whole program, the choice of “a thread or a process” for the whole program is too much “all-or-nothing.” With this motivation, this paper proposes a half-process, a process partially sharing its address space with other processes. This paper describes the design and the kernel-level implementation of the half-process and discusses the potential applicability of the half-process for multi-thread programming with thread-unsafe libraries, intra-node communications in parallel pro- gramming frameworks and transparent kernel-level thread migration. In particular, the thread migration based on the half-process is the first work that achieves transparent kernel-level thread migration by solving the problem of sharing global variables between threads. Keywords: partitioned global address space, Linux kernel, thread migration, finite element method, reconfiguration, productivity 1. Introduction Threads share a single address space with each other. When one thread issues memory operations such as mmap()/munmap()/mprotect(), all threads can see the ef- fects immediately. When one thread updates a memory address, Fig. 1 The design of a half-process. all threads can see the update immediately. In addition, all programmer can enjoy both advantages of process and thread, threads can access the same data with the same address. -
Multiprocess Communication and Control Software for Humanoid Robots Neil T
IEEE Robotics and Automation Magazine Multiprocess Communication and Control Software for Humanoid Robots Neil T. Dantam∗ Daniel M. Lofaroy Ayonga Hereidx Paul Y. Ohz Aaron D. Amesx Mike Stilman∗ I. Introduction orrect real-time software is vital for robots in safety-critical roles such as service and disaster response. These systems depend on software for Clocomotion, navigation, manipulation, and even seemingly innocuous tasks such as safely regulating battery voltage. A multi-process software design increases robustness by isolating errors to a single process, allowing the rest of the system to continue operating. This approach also assists with modularity and concurrency. For real-time tasks such as dynamic balance and force control of manipulators, it is critical to communicate the latest data sample with minimum latency. There are many communication approaches intended for both general purpose and real-time needs [19], [17], [13], [9], [15]. Typical methods focus on reliable communication or network-transparency and accept a trade-off of increased mes- sage latency or the potential to discard newer data. By focusing instead on the specific case of real-time communication on a single host, we reduce communication latency and guarantee access to the latest sample. We present a new Interprocess Communication (IPC) library, Ach,1 which addresses this need, and discuss its application for real-time, multiprocess control on three humanoid robots (Fig. 1). There are several design decisions that influenced this robot software and motivated development of the Ach library. First, to utilize decades of prior development and engineering, we implement our real-time system on top of a POSIX-like Operating System (OS)2. -
Sarath Singapati Inter Process Communication in Android Master of Science Thesis
SARATH SINGAPATI INTER PROCESS COMMUNICATION IN ANDROID MASTER OF SCIENCE THESIS Examiner: Professor Tommi Mikkonen Examiner and thesis subject approved by The Faculty of Computing and Electrical Engineering on 7th March 2012 II ABSTRACT TAMPERE UNIVERSITY OF TECHNOLOGY Master’s Degree Programme in Information Technology SARATH SINGAPATI INTER PROCESS COMMUNICATION IN ANDROID Master of Science Thesis, 45 pages, 4 Appendix pages June 2012 Major: Software Systems Examiner: Professor Tommi Mikkonen Keywords: Android, Google, mobile applications, Process, IPC Google's Android mobile phone software platform is currently the big opportunity for application software developers. Android has the potential for removing the barriers to success in the development and sale of a new generation of mobile phone application software. Just as the standardized PC and Macintosh platforms created markets for desktop and server software, Android, by providing a standard mobile phone application environment, creates a market for mobile applications and the opportunity for applica- tions developers to profit from those applications. One of the main intentions of Android platform is to eliminate the duplication of functionality in different applications to allow functionality to be discovered and in- voked on the fly, and to let users replace applications with others that offer similar func- tionality. The main problem here is how to develop applications that must have as few dependencies as possible, and must be able to provide services to other applications. This thesis studies the Android mobile operating system, its capabilities in develop- ing applications that communicate with each other and provide services to other applica- tions. As part of the study, a sample application called “Event Planner”, has been devel- oped to experiment how Inter Process Communication works in Android platform, ex- plains how to implement, and use Inter Process Communication (IPC).