VAMPIR. Visualization and Analysis of MPI Resources Commercial tool from PALLAS GmbH VAMPIRtrace - MPI profiling library VAMPIR - trace visualization.

Slides:



Advertisements
Similar presentations
Chapter 3 Loaders and Linkers
Advertisements

Mehmet Can Vuran, Instructor University of Nebraska-Lincoln Acknowledgement: Overheads adapted from those provided by the authors of the textbook.
Automated Instrumentation and Monitoring System (AIMS)
CSI 3120, Exception handling, page 1 Exception and Event Handling Credits Robert W. Sebesta, Concepts of Programming Languages, 8 th ed., 2007 Dr. Nathalie.
MPI Program Structure Self Test with solution. Self Test 1.How would you modify "Hello World" so that only even-numbered processors print the greeting.
Point-to-Point Communication Self Test with solution.
Portability Issues. The MPI standard was defined in May of This standardization effort was a response to the many incompatible versions of parallel.
70-290: MCSE Guide to Managing a Microsoft Windows Server 2003 Environment Chapter 11: Monitoring Server Performance.
A Guide to Oracle9i1 Creating an Integrated Database Application Chapter 8.
Customizing Outlook. Forms Window in which you enter and view information in Outlook Outlook Form Designer The environment in which you create and customize.
The Dr ü G Book: An Intro to Drupal The Dr ü G Book: An Intro to Drupal (Dr ü G: Drupal User ’ s Group - users, not developers) This is an introduction.
1 Chapter Overview Monitoring Server Performance Monitoring Shared Resources Microsoft Windows 2000 Auditing.
Introduction to C++ - How C++ Evolved Most popular languages currently: COBOL, Fortran, C, C++, Java (script) C was developed in 1970s at AT&T (Richie)
Lesson 5 – Looking at the Output MATSim Tutorial, 2011, Shanghai 1.
ICOM 5995: Performance Instrumentation and Visualization for High Performance Computer Systems Lecture 9 October 30, 2002 Nayda G. Santiago.
Debugging Cluster Programs using symbolic debuggers.
Introduction to LabVIEW
UPC/SHMEM PAT High-level Design v.1.1 Hung-Hsun Su UPC Group, HCS lab 6/21/2005.
Paradyn Week – April 14, 2004 – Madison, WI DPOMP: A DPCL Based Infrastructure for Performance Monitoring of OpenMP Applications Bernd Mohr Forschungszentrum.
AQS Web Quick Reference Guide Changing Raw Data Values Using Maintenance 1. From Main Menu, click Maintenance, Sample Values, Raw Data 2. Enter monitor.
CCS APPS CODE COVERAGE. CCS APPS Code Coverage Definition: –The amount of code within a program that is exercised Uses: –Important for discovering code.
Integrated MPI/OpenMP Performance Analysis
Adventures in Mastering the Use of Performance Evaluation Tools Manuel Ríos Morales ICOM 5995 December 4, 2002.
2.1 Message-Passing Computing ITCS 4/5145 Parallel Computing, UNC-Charlotte, B. Wilkinson, Jan 17, 2012.
70-290: MCSE Guide to Managing a Microsoft Windows Server 2003 Environment, Enhanced Chapter 11: Monitoring Server Performance.
Score-P – A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir Alexandru Calotoiu German Research School for.
Support for Debugging Automatically Parallelized Programs Robert Hood Gabriele Jost CSC/MRJ Technology Solutions NASA.
The Vampir Performance Analysis Tool Hans–Christian Hoppe Gesellschaft für Parallele Anwendungen und Systeme mbH Pallas GmbH Hermülheimer Straße 10 D
COMPONENT INTERFACE By, Mr. Srinivas.. What is Component Interface? A means to access the PeopleSoft application without using the PeopleSoft pages. It.
CS 584. Performance Analysis Remember: In measuring, we change what we are measuring. 3 Basic Steps Data Collection Data Transformation Data Visualization.
Part I MPI from scratch. Part I By: Camilo A. SilvaBIOinformatics Summer 2008 PIRE :: REU :: Cyberbridges.
Linux+ Guide to Linux Certification, Third Edition
Parallel Computing A task is broken down into tasks, performed by separate workers or processes Processes interact by exchanging information What do we.
Overview of CrayPat and Apprentice 2 Adam Leko UPC Group HCS Research Laboratory University of Florida Color encoding key: Blue: Information Red: Negative.
Parallel Programming with MPI Prof. Sivarama Dandamudi School of Computer Science Carleton University.
Martin Schulz Center for Applied Scientific Computing Lawrence Livermore National Laboratory Lawrence Livermore National Laboratory, P. O. Box 808, Livermore,
Message Passing Programming with MPI Introduction to MPI Basic MPI functions Most of the MPI materials are obtained from William Gropp and Rusty Lusk’s.
1 NetInsight Demonstration 10 October 2007
Summary of MPI commands Luis Basurto. Large scale systems Shared Memory systems – Memory is shared among processors Distributed memory systems – Each.
Performance Monitoring Tools on TCS Roberto Gomez and Raghu Reddy Pittsburgh Supercomputing Center David O’Neal National Center for Supercomputing Applications.
Profiling, Tracing, Debugging and Monitoring Frameworks Sathish Vadhiyar Courtesy: Dr. Shirley Moore (University of Tennessee)
70-290: MCSE Guide to Managing a Microsoft Windows Server 2003 Environment, Enhanced Chapter 11: Monitoring Server Performance.
_______________________________________________________________CMAQ Libraries and Utilities ___________________________________________________Community.
Introduction to Enterprise Guide Jennifer Schmidt Rhonda Ellis Cassandra Hall.
Agilent Technologies Copyright 1999 H7211A+221 v Capture Filters, Logging, and Subnets: Module Objectives Create capture filters that control whether.
Distributed-Memory (Message-Passing) Paradigm FDI 2004 Track M Day 2 – Morning Session #1 C. J. Ribbens.
ASC Tri-Lab Code Development Tools Workshop Thursday, July 29, 2010 Lawrence Livermore National Laboratory, P. O. Box 808, Livermore, CA This work.
Portable Parallel Performance Tools Shirley Browne, UTK Clay Breshears, CEWES MSRC Jan 27-28, 1998.
CSCI-455/522 Introduction to High Performance Computing Lecture 4.
SvPablo. Source view Pablo GUI for instrumenting source code and viewing runtime performance data Joint work at Univ. of Illinois and Rice Univ. HPF programs.
Tool Visualizations, Metrics, and Profiled Entities Overview [Brief Version] Adam Leko HCS Research Laboratory University of Florida.
Overview of AIMS Hans Sherburne UPC Group HCS Research Laboratory University of Florida Color encoding key: Blue: Information Red: Negative note Green:
MPI Point to Point Communication CDP 1. Message Passing Definitions Application buffer Holds the data for send or receive Handled by the user System buffer.
An Introduction to MPI (message passing interface)
1 Using PMPI routines l PMPI allows selective replacement of MPI routines at link time (no need to recompile) l Some libraries already make use of PMPI.
Postgraduate Computing Lectures PAW 1 PAW: Physicist Analysis Workstation What is PAW? –A tool to display and manipulate data. Learning PAW –See ref. in.
3/12/2013Computer Engg, IIT(BHU)1 MPI-1. MESSAGE PASSING INTERFACE A message passing library specification Extended message-passing model Not a language.
Projections - A Step by Step Tutorial By Chee Wai Lee For the 2004 Charm++ Workshop.
AdaptJ Sookmyung Women’s Univ. PSLAB. 1. 목차 1. Overview 2. Collecting Trace Data using the AdaptJ Agent 2.1 Recording a Trace 3. Analyzing Trace Data.
1 Advanced MPI William D. Gropp Rusty Lusk and Rajeev Thakur Mathematics and Computer Science Division Argonne National Laboratory.
Presented by Jack Dongarra University of Tennessee and Oak Ridge National Laboratory KOJAK and SCALASCA.
MPI-Message Passing Interface. What is MPI?  MPI is a specification for the developers and users of message passing libraries. By itself, it is NOT a.
MPE Logging/nupshot. Included with MPICH 1.1 distribution Distributed separately from rest of MPICH from PTLIB MPE logging library produces trace files.
SOFTWARE TESTING TRAINING TOOLS SUPPORT FOR SOFTWARE TESTING Chapter 6 immaculateres 1.
Advanced TAU Commander
CS 584.
TABE PC.
MPI-Message Passing Interface
Projections Overview Ronak Buch & Laxmikant (Sanjay) Kale
CS 584 Lecture 8 Assignment?.
Presentation transcript:

VAMPIR

Visualization and Analysis of MPI Resources Commercial tool from PALLAS GmbH VAMPIRtrace - MPI profiling library VAMPIR - trace visualization tool

VAMPIRtrace Separate Installation and User’s Guide for each supported platform Works with MPICH and all vendor MPIs Instrumentation done by linking your application with the VAMPIRtrace library API for stopping and starting tracing and for inserting user-defined events into the trace file Trace files generated by MPI processes are automatically collected and merged into a single trace file

VAMPIRtrace API Used to start and stop tracing and to define application- specific activities Error to call any VAMPIRtrace API routines before MPI_Init or after MPI_Finalize To disable trace collection for the local process: –void VT_traceoff(void) –SUBROUTINE VTTRACEOFF() To re-enable trace collection for the local process: –void VT_traceon(void) –SUBROUTINE VTTRACEON()

VAMPIRtrace API (cont.) User-defined activities –Process states with start and stop times –Activitiy class can contain activities with different symbolic names –Start and stop routines identify activity by an integer code that is attached to the class/symbol pair by first calling a definition routine –Activity definitions are process local, but integer codes must be assigned in a globally consistent manner.

VAMPIRtrace Configuration File Logfile-name –Name for logfile to contain merged trace file Logfile-rank –Rank of process that will write logfile Internal-msgs [on|off] –Specifies whether communications internal to the MPI library should be traced

Configuration file (cont.) Activity [on|off] –Defines a filter for matched activity classes Symbol [on|off] –Defines a filter for matched symbol names Filter directives are evaluated in order.

Filtering Example # disable all MPI activities ACTIVITY MPI OFF # enable all send routines SYMBOL MPI_*send ON # except MPI_Bsend SYMBOL MPI_bsend OFF # enable receives SYMBOL MPI_recv ON # and all test routines SYMBOL MPI_test* ON # and all wait routines SYMBOL MPI_wait* ON # enable all activities in the Application class ACTIVITY Application ON

Default Configuration LOGFILE-RANK 0 INTERNAL-MSGS OFF ACTIVITY * ON

Limiting VAMPIRtrace Logfile Size Limit number of events to be logged by scaling down application input files, iteration count, number of processes, etc. Enable trace data collection for just a subset of the application’s runtime. Use the filtering mechanism to limit the set of logged events.

Managing VAMPIRtrace API Calls Need both instrumented and uninstrumented versions Dummy API library libVTnull.a –Maps API calls to empty subroutines –Slight overhead Use C preprocessor (or equivalent tool for Fortran) to guard calls to the VAMPIRtrace API using #ifdef directives

VAMPIR Highly configurable trace visualization tool Originally developed by Forschungszentrum Julich GmbH under name PARvis Available for all major workstations and some SMPs and MPPs Requires graphical display running X11R5 or later

VAMPIR Displays Process State Display Statistics Display Timeline Display Communications Statistics Configured by using –Pull-down menus –Configuration file

VAMPIR Control Panel

Global Timeline for entire 29-second run

Magnification near 9.87-second point

Statistics Display

Tracing off until near end of run

Selecting display options

MPI Activity Selected

Bar chart view of Statistics Display

Selecting Timeline Portion