Parallel Performance Analysis with Open|SpeedShop Seminar@ NASA NASA Ames Research Center
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Transcript of Parallel Performance Analysis with Open|SpeedShop Seminar@ NASA NASA Ames Research Center
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Parallel Performance AnalysisParallel Performance Analysiswith Open|SpeedShop with Open|SpeedShop
Seminar@ NASASeminar@ NASANASA Ames Research CenterNASA Ames Research Center
October 29, 2008October 29, 2008
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Presenters and PartnersJim Galarowicz, KrellJim Galarowicz, Krell
Don Maghrak, KrellDon Maghrak, Krell
Larger Team:Larger Team: Martin Schulz, LLNLMartin Schulz, LLNL David Montoya, LANLDavid Montoya, LANL Scott Cranford, Sandia NLs University of WisconsinScott Cranford, Sandia NLs University of Wisconsin William Hachfeld, Krell University of MarylandWilliam Hachfeld, Krell University of Maryland Samuel Gutierrez, LANL Rice UniversitySamuel Gutierrez, LANL Rice University Joseph Kenny, Sandia NLsJoseph Kenny, Sandia NLs Chris Chambreau, LLNLChris Chambreau, LLNL
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Seminar Goals
Introduce Open|SpeedShopIntroduce Open|SpeedShop Basic concepts, terminology, modes of operationBasic concepts, terminology, modes of operation Running first examplesRunning first examples
Provide Overview of FeaturesProvide Overview of Features Sampling & Tracing in O|SSSampling & Tracing in O|SS Performance comparisonsPerformance comparisons Parallel performance analysisParallel performance analysis
Status and RoadmapStatus and Roadmap
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HighlightsOpen Source Performance Analysis Tool Open Source Performance Analysis Tool FrameworkFramework Most common performance analysis steps Most common performance analysis steps in one toolin one tool ExtensibleExtensible by using plugins for data collection and by using plugins for data collection and
representationrepresentation Profiling (sampling) and Tracing (wrapping functions)Profiling (sampling) and Tracing (wrapping functions)
Multiple Instrumentation OptionsMultiple Instrumentation Options All work on All work on unmodifiedunmodified applicationapplication binariesbinaries
Need –g, but can be with –O3, O2, etc., in order to map to Need –g, but can be with –O3, O2, etc., in order to map to source lines.source lines.
Offline Offline data collection: run program start to enddata collection: run program start to end Online Online data collection withdata collection with abilityability to attach to attach to running to running
applications. applications. Start and stop data collection.Start and stop data collection.
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HighlightsFlexible and Easy to useFlexible and Easy to use User access through: User access through:
Graphical User Interface (GUI)Graphical User Interface (GUI)Interactive CommandInteractive Command LineLinePythonPython Scripting APIScripting API
Large Range of Platforms Large Range of Platforms LinuxLinux Clusters/SSIClusters/SSI with with x86, IA-64, Opteron, and x86, IA-64, Opteron, and
EM64T CPUsEM64T CPUs New: New: more more portableportable offline data collection mechanism offline data collection mechanism
AvailabilityAvailability Full source available on sourceforge.netFull source available on sourceforge.net Release tar balls on sourceforge.netRelease tar balls on sourceforge.net
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O|SS Target Audience
Programmers/code teamsProgrammers/code teams Use Open|SpeedShop out of the boxUse Open|SpeedShop out of the box Powerful performance analysisPowerful performance analysis Ability to integrate O|SS into projectsAbility to integrate O|SS into projects
Tool developersTool developers Single, comprehensive infrastructureSingle, comprehensive infrastructure Easy deployment of new toolsEasy deployment of new tools
Project/product specific customizationsProject/product specific customizations Predefined/custom experimentsPredefined/custom experiments
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Performance Experiments
Concept of an ExperimentConcept of an Experiment What program to analyzeWhat program to analyze What type of performance data to gatherWhat type of performance data to gather How often the performance data is gatheredHow often the performance data is gathered
Consists of Collectors and ViewsConsists of Collectors and Views Collectors define specific type of performance data Collectors define specific type of performance data
Hardware counters, program counter samplesHardware counters, program counter samples
Tracing of certain routines (I/O, MPI)Tracing of certain routines (I/O, MPI)
Views specify data aggregation and presentationViews specify data aggregation and presentation Multiple collectors per experiment possibleMultiple collectors per experiment possible
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Results
Experiment Workflow
Ru
nApplication
“Experiment”
Results can be displayed using several “Views”
Process Management
Panel
Consists of one or more data “Collectors”
Stored in SQL database
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Experiment Types in O|SS
Sampling ExperimentsSampling Experiments Periodically interrupt run and record locationPeriodically interrupt run and record location Report statistical distribution of these locationsReport statistical distribution of these locations Typically provides good overviewTypically provides good overview Overhead mostly low and uniformOverhead mostly low and uniform
Tracing Experiments Tracing Experiments Gather and store individual application events, Gather and store individual application events,
e.g., function invocations (MPI, I/O, …)e.g., function invocations (MPI, I/O, …) Provides detailed, low-level informationProvides detailed, low-level information Higher overhead, potentially burstyHigher overhead, potentially bursty
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Sampling Experiments
PC Sampling (pcsamp)PC Sampling (pcsamp) Record PC in user defined time intervalsRecord PC in user defined time intervals Low overhead overview of time distributionLow overhead overview of time distribution
User Time (usertime)User Time (usertime) PC Sampling + Call stacks for each samplePC Sampling + Call stacks for each sample Provides inclusive & exclusive timing dataProvides inclusive & exclusive timing data
Hardware Counters (hwc, hwctime)Hardware Counters (hwc, hwctime) Sample HWC overflow eventsSample HWC overflow events Access to data like cache and TLB missesAccess to data like cache and TLB misses
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Tracing Experiments
I/O Tracing (io, iot)I/O Tracing (io, iot) Record invocation of all POSIX I/O eventsRecord invocation of all POSIX I/O events Provides aggregate and individual timingsProvides aggregate and individual timings
MPI Tracing (mpi, mpit, mpiotf)MPI Tracing (mpi, mpit, mpiotf) Record invocation of all MPI routinesRecord invocation of all MPI routines Provides aggregate and individual timingsProvides aggregate and individual timings
Floating Point Exception Tracing (fpe)Floating Point Exception Tracing (fpe) Triggered by any FPE caused by the codeTriggered by any FPE caused by the code Helps pinpoint numerical problem areasHelps pinpoint numerical problem areas
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Parallel Experiments
O|SS supports MPI and threaded codesO|SS supports MPI and threaded codes Tested with a variety of MPI implementationTested with a variety of MPI implementation Thread support based on POSIX threadsThread support based on POSIX threads
Any collector can be applied to parallel jobAny collector can be applied to parallel job Automatically applied to all tasks/threadsAutomatically applied to all tasks/threads Default views aggregate across all tasks/threadsDefault views aggregate across all tasks/threads Data from individual tasks/threads availableData from individual tasks/threads available
Specific parallel experiments (Specific parallel experiments (e.g., mpi, mpite.g., mpi, mpit))
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High-level Architecture
GUI pyO|SSCLI
AMD and Intel based clusters/SSI using Linux
CLI
Open SourceSoftware
Code Instrumentation
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Code Instrumentation in O|SS
Offline/External Data CollectionOffline/External Data Collection Instrument application at start-upInstrument application at start-up Write data to raw files and convert to O|SSWrite data to raw files and convert to O|SS Performance data available at end of execution.Performance data available at end of execution.
Online Scalable Data Collection via Online Scalable Data Collection via MRNetMRNet Scalable transport layerScalable transport layer Performance data delivered directly to tool onlinePerformance data delivered directly to tool online Ability for interactive online analysis and viewing Ability for interactive online analysis and viewing
intermediate resultsintermediate results
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Offline & Online Data Collection
MPI Application
O|SS
post-mortem
OfflineMPI Application
O|SS
MRNet
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High-level Architecture
GUI pyO|SSCLI
AMD and Intel based clusters/SSI using Linux
CLI
Open SourceSoftware
Code Instrumentation
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Three Interfaces (GUI, CLI, Python)
Experiment Commands expAttach expCreate expDetach expGo expView
List Commands list -v exp list -v hosts list -v status
Session Commands setBreak openGui
import openss
my_filename=oss.FileList("myprog.a.out")my_exptype=oss.ExpTypeList("pcsamp")my_id=oss.expCreate(my_filename,my_exptype)
oss.expGo()
My_metric_list = oss.MetricList("exclusive")my_viewtype = oss.ViewTypeList("pcsamp“)result = oss.expView(my_id,my_viewtype,my_metric_list)
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Running an Experiment
Running a simple example experiment Running a simple example experiment Examine the command syntaxExamine the command syntax List the outputs from the experimentList the outputs from the experiment
Viewing and Interpreting gathered Viewing and Interpreting gathered measurementsmeasurements GUI, CLI via the experiment database fileGUI, CLI via the experiment database file
Show “–offline” example in more detailShow “–offline” example in more detail
Introduce additional command syntaxIntroduce additional command syntax
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Basic offline experiment syntax
openss –offline –f “executable” pcsampopenss –offline –f “executable” pcsamp openssopenss is the command to invoke Open|SpeedShop is the command to invoke Open|SpeedShop -offline -offline indicates the user interface to use indicates the user interface to use (immediate command)(immediate command)
There are a number of user interface optionsThere are a number of user interface options
-f-f is the option for specifying the executable name is the option for specifying the executable nameThe “executable” can be a sequential or parallel commandThe “executable” can be a sequential or parallel command
pcsamppcsamp indicates what type of performance data (metric) indicates what type of performance data (metric) you will gatheryou will gather
Here pcsamp indicates that we will periodically take a sample of the Here pcsamp indicates that we will periodically take a sample of the address that the program counter is pointing to.address that the program counter is pointing to.
We will associate that address with a function and/or source line.We will associate that address with a function and/or source line.
There are several existing performance metric choices There are several existing performance metric choices
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What are the outputs?
Outputs from : Outputs from : openss –offline –f “executable” pcsampopenss –offline –f “executable” pcsamp Normal program output while executable is runningNormal program output while executable is running The sorted list of performance informationThe sorted list of performance information
A list of the top time taking functionsA list of the top time taking functions
The corresponding sample derived time for each functionThe corresponding sample derived time for each function
A performance information database fileA performance information database fileThe database file contains all the information needed to view the The database file contains all the information needed to view the data at anytime in the future without the executable(s).data at anytime in the future without the executable(s).
Symbol table information from executable(s) and system Symbol table information from executable(s) and system librarieslibraries
Performance data openss gatheredPerformance data openss gathered
Time stamps for when dso(s) were loaded and unloadedTime stamps for when dso(s) were loaded and unloaded
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Example Parallel Run with Output
openss –offline –f “orterun -np 128 sweep3d.mpi” pcsamp
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Output from Example Run
openss –offline –f “orterun -np 128 sweep3d.mpi” pcsamp
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Using the Database file
Database file is one of the outputs from running: Database file is one of the outputs from running: openss –offline –f “executable” pcsamp openss –offline –f “executable” pcsamp Use this file to view the dataUse this file to view the data How to open the database file with openssHow to open the database file with openss
openss –f <database file name>openss –f <database file name>
openss (then use menus or wizard to open)openss (then use menus or wizard to open)
openss –cliopenss –cli
exprestore –f <database file name>exprestore –f <database file name>
In this example, we show: both In this example, we show: both openss –cli –f X.0.openss (CLI)openss –cli –f X.0.openss (CLI)
openss –f X.0.openss (GUI)openss –f X.0.openss (GUI)
X.0.openss is the file name openss creates by defaultX.0.openss is the file name openss creates by default
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Output from Example Run
Loading the database file: openss –cli –f X.0.openss
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Process Management PanelControl your job, focus stats panel, create process subsets Control your job, focus stats panel, create process subsets
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Default Stats Panel Viewopenss –f X.0.openss: Performance statistics by function openss –f X.0.openss: Performance statistics by function is default viewis default view
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Results map to SourceSplit screen mapping of performance data to source lineSplit screen mapping of performance data to source line
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Min,Max,Average (Load Balance) View
Select “LB” in Toolbar to generate Load Balance ViewSelect “LB” in Toolbar to generate Load Balance View
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Comparative Analysis: Clustering Ranks
Select “CA” in Toolbar to generate Comp. Analysis View Select “CA” in Toolbar to generate Comp. Analysis View
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Comparative Analysis: Clustering Ranks
Select “CA” in Toolbar to generate Comp. Analysis View Select “CA” in Toolbar to generate Comp. Analysis View
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Additional experiment syntax
openss –offline –f “executable” pcsampopenss –offline –f “executable” pcsamp -offline indicates the user interface is immediate command mode.-offline indicates the user interface is immediate command mode. Uses offline (LD_PRELOAD) collection mechanism.Uses offline (LD_PRELOAD) collection mechanism.
openss –cli –f “executable” pcsampopenss –cli –f “executable” pcsamp -cli indicates the user interface is interactive command line-cli indicates the user interface is interactive command line.. Uses online (dynamic instrumentation) collection mechanism.Uses online (dynamic instrumentation) collection mechanism.
openss –f “executable” pcsampopenss –f “executable” pcsamp No interface option indicates the user interface is graphical user.No interface option indicates the user interface is graphical user. Uses online (dynamic instrumentation) collection mechanism.Uses online (dynamic instrumentation) collection mechanism.
openss –batch < input.commands.fileopenss –batch < input.commands.file Executes from file of cli commandsExecutes from file of cli commands
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Wizard Panel – page 1
Gather data fromnew runs
Analyze and/or compare existing data from previous
runs
O|SS CommandLine Interface
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Wizard Panel – Gather new data
Select type of data to begathered by Open|SpeedShop
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Compare WizardSide by side performance resultsSide by side performance results
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Compare WizardSide by Side Source for the two versionsSide by Side Source for the two versions
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Comparing MPI Ranks
Rank 0 Rank 1
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CLI Language
An interactive command Line InterfaceAn interactive command Line Interface gdb/dbx like processinggdb/dbx like processing
Several interactive commandsSeveral interactive commands Create ExperimentsCreate Experiments Provide Process/Thread Control Provide Process/Thread Control View Experiment ResultsView Experiment Results
Where possible commands execute Where possible commands execute asynchronouslyasynchronously
http://www.openspeedshop.org/docs/cli_doc/ http://www.openspeedshop.org/docs/cli_doc/
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CLI Command Overview
Experiment Creations– expcreate– expattach
Experiment Control– expgo– expwait– expdisable– expenable
Experiment Storage– expsave– exprestore
Result Presentation– expview– opengui
Misc. Commands– help– list– log– record– playback– history– quit
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User-Time Example
lnx-jeg.americas.sgi.com-17>openss -cliopenss>>Welcome to OpenSpeedShop 1.9openss>>expcreate -f test/executables/ fred/fred usertimeThe new focused experiment identifier is: -x 1openss>>expgoStart asynchronous execution of experiment: -x 1openss>>Experiment 1 has terminated.
Create experiments and load application
Start application
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Showing CLI Results
openss>>expviewExcl CPU time Inclu CPU time % of Total Exclusive Function in seconds. in seconds. CPU Time (defining location)5.2571 5.2571 49.7297 f3 (fred: f3.c,2)3.3429 3.3429 31.6216 f2 (fred: f2.c,2)1.9714 1.9714 18.6486 f1 (fred: f1.c,2)0.0000 10.5714 0.0000 __libc_start_main (libc.so.6)0.0000 10.5714 0.0000 _start (fred)0.0000 10.5429 0.0000 work(fred:work.c,2)0.0000 10.5714 0.0000 main (fred: fred.c,5)
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CLI Batch Scripting (1)
Create batch file with CLI commandsCreate batch file with CLI commands Plain text filePlain text file Example:Example:
# Create batch fileecho expcreate -f fred pcsamp >> input.scriptecho expgo >> input.scriptecho expview pcsamp10 >>input.script
# Run OpenSpeedShopopenss -batch < input.script
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CLI Batch Scripting (2)
Open|SpeedShop Batch Example ResultsOpen|SpeedShop Batch Example Results
The new focused experiment identifier is: -x 1Start asynchronous execution of experiment: -x 1
Experiment 1 has terminated. CPU Time Function (defining location) 24.2700 f3 (mutatee: mutatee.c,24) 16.0000 f2 (mutatee: mutatee.c,15) 8.9400 f1 (mutatee: mutatee.c,6) 0.0200 work (mutatee: mutatee.c,33)
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CLI Batch Scripting (3)
Open|SpeedShop Batch Example: directOpen|SpeedShop Batch Example: direct
#Run Open|SpeedShop as a single non-interactive commandopenss –batch –f fred pcsamp
The new focused experiment identifier is: -x 1Start asynchronous execution of experiment: -x 1
Experiment 1 has terminated. CPU Time Function (defining location) 24.2700 f3 (mutatee: mutatee.c,24) 16.0000 f2 (mutatee: mutatee.c,15) 8.9400 f1 (mutatee: mutatee.c,6) 0.0200 work (mutatee: mutatee.c,33)
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Python Scripting
Open|SpeedShop Python API that executes “same” Open|SpeedShop Python API that executes “same” Interactive/Batch Open|SpeedShop commandsInteractive/Batch Open|SpeedShop commands
User can intersperse “normal” Python code with User can intersperse “normal” Python code with Open|SpeedShop Python APIOpen|SpeedShop Python API
Run Open|SpeedShop experiments via the Open|Run Open|SpeedShop experiments via the Open|SpeedShop Python APISpeedShop Python API
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Python Example (1)
Necessary steps:Necessary steps: Import O|SS Python moduleImport O|SS Python module Prepare arguments for target applicationPrepare arguments for target application Set view and experiment typeSet view and experiment type Create experimentCreate experiment
import openss
my_filename=openss.FileList("usability/phaseII/fred")my_viewtype = openss.ViewTypeList()my_viewtype += "pcsamp"exp1=openss.expCreate(my_filename,viewtype)
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Python Example (2)
After experiment creationAfter experiment creation Start target application (asynchronous!)Start target application (asynchronous!) Wait for completionWait for completion Write resultsWrite results
openss.expGo()
openss.wait()
except openss.error: print "expGo(exp1,my_modifer) failed"
openss.dumpView()
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Python Example Output
Two interfaces to dump dataTwo interfaces to dump data Plain text (similar to CLI) for viewingPlain text (similar to CLI) for viewing As Python objects for post-processingAs Python objects for post-processing
>python example.py/work/jeg/OpenSpeedShop/usability/phaseII/fred: successfully completed.
Excl. CPU time % of CPU Time Function (def. location) \ 4.6700 47.7994 f3 (fred: f3.c,23) 3.5100 35.9263 f2 (fred: f2.c,2) 1.5900 16.2743 f1 (fred: f1.c,2)
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ExtensibilityO|SS is more than a performance toolO|SS is more than a performance tool All functionality in one toolset with one interfaceAll functionality in one toolset with one interface General infrastructure to create new toolsGeneral infrastructure to create new tools
Plugins to add new functionalityPlugins to add new functionality Cover all essential steps of performance analysisCover all essential steps of performance analysis Automatically loaded at O|SS startupAutomatically loaded at O|SS startup
Three types of pluginsThree types of plugins Collectors: How to acquire performance data?Collectors: How to acquire performance data? Views: How to aggregate and present data?Views: How to aggregate and present data? Panels: How to visualize data in the GUI?Panels: How to visualize data in the GUI?
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Overview Summary Two techniques for instrumentationTwo techniques for instrumentation Online vs. OfflineOnline vs. Offline Different strength for different target scenariosDifferent strength for different target scenarios
Flexible GUI that can be customizedFlexible GUI that can be customized
Several compatible scripting optionsSeveral compatible scripting options Command Line LanguageCommand Line Language Direct batch interfaceDirect batch interface Integration of O|SS into PythonIntegration of O|SS into Python
GUI and scripting interoperableGUI and scripting interoperable
Plugin concept to extend Open|SpeedShopPlugin concept to extend Open|SpeedShop
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Status & Future Plans
Open|SpeedShop 1.9 available shortlyOpen|SpeedShop 1.9 available shortly Packages and source from sourceforge.netPackages and source from sourceforge.net Tested on a variety of platformsTested on a variety of platforms
Offline version featured in version 1.9Offline version featured in version 1.9
Online (MRNet) work in progressOnline (MRNet) work in progress Target is version 2.0 in DecemberTarget is version 2.0 in December Working on some platforms but not allWorking on some platforms but not all
Focus on Scalability in coming months Focus on Scalability in coming months
Support for capability machines via Office of Science Support for capability machines via Office of Science proposal with ASC assistanceproposal with ASC assistance
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Availability and ContactOpen|SpeedShop website:Open|SpeedShop website: http://www.openspeedshop.org/
Installed on cfe1.nas.nasa.govInstalled on cfe1.nas.nasa.gov
Download options:Download options: Package with Install ScriptPackage with Install Script Source for tool and base librariesSource for tool and base libraries
FeedbackFeedback Bug tracking and contact info available from websiteBug tracking and contact info available from website Feel free to contact presenters directlyFeel free to contact presenters directly
[email protected] and/or and/or [email protected]@krellinst.org