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Updated: January 2015
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Solaris Studio 12.4: Performance Analyzer
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Chapter 1 Overview of Performance Analyzer
Tools of Performance Analysis
Collector Tool
Performance Analyzer Tool
er_print Utility
Performance Analyzer Window
Chapter 2 Performance Data
Data the Collector Collects
Clock Profiling Data
Clock Profiling Under Oracle Solaris
Clock Profiling Under Linux
Clock Profiling for OpenMP Programs
Clock Profiling for the Oracle Solaris Kernel
Clock Profiling for MPI Programs
Hardware Counter Profiling Data
Hardware Counter Lists
Format of the Aliased Hardware Counter List
Format of the Raw Hardware Counter List
Synchronization Wait Tracing Data
Heap Tracing (Memory Allocation) Data
I/O Tracing Data
Sample Data
MPI Tracing Data
How Metrics Are Assigned to Program Structure
Function-Level Metrics: Exclusive, Inclusive, and Attributed
Interpreting Attributed Metrics: An Example
How Recursion Affects Function-Level Metrics
Chapter 3 Collecting Performance Data
Compiling and Linking Your Program
Compiling to Analyze Source Code
Compiling for Dataspace and Memoryspace Profiling
Static Linking
Shared Object Handling
Optimization at Compile Time
Compiling Java Programs
Preparing Your Program for Data Collection and Analysis
Using Dynamically Allocated Memory
Using System Libraries
Data Collection and Signals
Sample and Pause-Resume Signals
Using setuid and setgid
Program Control of Data Collection Using libcollector Library
C and C++ Interface
Fortran Interface
Java Interface
C, C++, Fortran, and Java API Functions
Dynamic Functions and Modules
collector_func_load() Function
collector_func_unload() Function
Limitations on Data Collection
Limitations on Clock Profiling
Runtime Distortion and Dilation With Clock Profiling
Limitations on Collection of Tracing Data
Runtime Distortion and Dilation With Tracing
Limitations on Hardware Counter Profiling
Runtime Distortion and Dilation With Hardware Counter Profiling
Limitations on Data Collection for Descendant Processes
Limitations on OpenMP Profiling
Limitations on Java Profiling
Runtime Performance Distortion and Dilation for Applications Written in the Java Programming Language
Where the Data Is Stored
Experiment Names
Experiment Groups
Experiments for Descendant Processes
Experiments for MPI Programs
Experiments on the Kernel and User Processes
Moving Experiments
Estimating Storage Requirements
Collecting Data
Collecting Data Using the collect Command
Data Collection Options
Clock Profiling with the -p option
Hardware Counter Profiling with collect -h
Synchronization Wait Tracing with -s option
Heap Tracing Data with -H option
I/O Tracing with i option
Count Data with c option
Specify Count Data Instrumentation Directory with I directory
Specify Excluded Libraries with N library-name
Sample Data with -S option
Data Race and Deadlock Detection with r option
MPI Profiling with M option
MPI Tracing with m option
Experiment Control Options
Limit the Experiment Size with -L size
Follow Processes with the -F option
Profile Java with -j option
Pass Java Options with -J java-argument
Specify a Signal for Sampling with -l signal
Set a Time Range with t duration
Stop Profiled Target to Allow dbx attach with -x
Signal Pause and Resume State with -y signal [ ,r]
Output Options
Set Experiment Name with -o experiment-name
Set Directory of Experiment with -d directory-name
Create Experiment in a Group with -g group-name
Archive Load Objects in Experiment with the -A option
Save the Command Output to a File with -O file
Other Options
Attach to a Process with P process-id
Add a Comment to the Experiment with -C comment
Try Out a Command with -n
Display the collect Version with -V
Display Verbose Output with -v
Collecting Data From a Running Process Using the collect Utility
To Collect Data From a Running Process Using the collect Utility
Collecting Data Using the dbx collector Subcommands
To Run the Collector From dbx
Data Collection Subcommands
profile option
hwprofile option
synctrace option
heaptrace option
tha option
sample option
dbxsample { on | off }
Experiment Control Subcommands
disable Subcommand
enable Subcommand
pause Subcommand
resume Subcommand
sample record name Subcommand
Output Subcommands
archive mode Subcommand
limit value Subcommand
store option Subcommand
Information Subcommands
show Subcommand
status Subcommand
Collecting Data From a Running Process With dbx on Oracle Solaris Platforms
To Collect Data From a Running Process That Is Not Under the Control of dbx
Collecting Tracing Data From a Running Program
Collecting Data From Scripts
Using collect With ppgsz
Collecting Data From MPI Programs
Running the collect Command for MPI
Storing MPI Experiments
Chapter 4 Performance Analyzer Tool
About Performance Analyzer
Starting Performance Analyzer
analyzer Command Options
Experiment Options
-c base-group compare-group
Java Options for analyzer Command
-j | --jdkhome jvm-path
-Jjvm-option
Control Options for analyzer Command
-f | --fontsize size
-v | --verbose
Information Options for analyzer Command
-V | --version
-? | -h | --help
Performance Analyzer User Interface
Menu Bar
Tool Bar
Navigation Panel
Selection Details Window
Called-By/Calls Panel
Performance Analyzer Views
Welcome Page
Overview Screen
Functions View
Timeline View
Source View
Call Tree View
Callers-Callees View
Index Objects Views
Threads View
CPUs View
Samples View
Seconds View
Processes View
Experiment IDs View
MemoryObjects Views
DataLayout View
DataObjects View
I/O View
Heap View
Data Size View
Duration View
OpenMP Parallel Region View
OpenMP Task View
Lines View
PCs View
Disassembly View
Source/Disassembly View
Races View
Deadlocks View
Dual-Source View
Statistics View
Experiments View
Inst-Freq View
MPI Timeline View
MPI Timeline Controls
MPI Chart View
MPI Chart Controls
Setting Library and Class Visibility
Filtering Data
Using Filters
Using Advanced Custom Filters
Using Labels for Filtering
Profiling Applications From Performance Analyzer
Profiling a Running Process
Comparing Experiments
Setting Comparison Style
Using Performance Analyzer Remotely
Using Performance Analyzer on a Desktop Client
How to Use the Remote Performance Analyzer on a Client
Connecting to a Remote Host in Performance Analyzer
Configuration Settings
Views Settings
Metrics Settings
Timeline Settings
Source/Disassembly Settings
Call Tree Settings
Formats Settings
Search Path Settings
Pathmaps Settings
Performance Analyzer Configuration File
Chapter 5 er_print Command-Line Performance Analysis Tool
About er_print
er_print Syntax
Metric Lists
Commands That Control the Function List
functions
metrics metric-spec
sort metric_spec
fsummary
fsingle function-name [N]
Commands That Control the Callers-Callees List
callers-callees
csingle function-name [N]
cprepend function-name [N | ADDR]
cappend function-name [N | ADDR]
crmfirst
crmlast
Commands That Control the Call Tree List
calltree
Commands Common to Tracing Data
datasize
duration
Commands That Control the Leak and Allocation Lists
leaks
allocs
heap
heapstat
Commands That Control the I/O Activity Report
ioactivity
iodetail
iocallstack
iostat
Commands That Control the Source and Disassembly Listings
source|src { filename | function-name } [ N]
disasm|dis { filename | function-name } [ N]
scc com-spec
sthresh value
dcc com-spec
dthresh value
cc com-spec
Commands That Control PCs and Lines
pcs
psummary
lines
lsummary
Commands That Control Searching For Source Files
setpath path-list
addpath path-list
pathmap old-prefix new-prefix
Commands That Control the Dataspace List
data_objects
data_single name [N]
data_layout
Commands That Control Index Object Lists
indxobj indxobj-type
indxobj_list
indxobj_define indxobj-type index-exp
Commands That Control Memory Object Lists
memobj mobj-type
mobj_list
mobj_define mobj-type index-exp
memobj_drop mobj_type
machinemodel model_name
Commands for the OpenMP Index Objects
OMP_preg
OMP_task
Commands That Support Thread Analyzer
races
rdetail race-id
deadlocks
ddetail deadlock-id
Commands That List Experiments, Samples, Threads, and LWPs
experiment_list
sample_list
lwp_list
thread_list
cpu_list
Commands That Control Filtering of Experiment Data
Specifying a Filter Expression
filters filter-exp
Listing Keywords for a Filter Expression
describe
Selecting Samples, Threads, LWPs, and CPUs for Filtering
Selection Lists
Selection Commands
sample_select sample-spec
lwp_select lwp-spec
thread_select thread-spec
cpu_select cpu-spec
Commands That Control Load Object Expansion and Collapse
object_list
object_show object1,object2,...
object_hide object1,object2,...
object_api object1,object2,...
objects_default
object_select object1,object2,...
Commands That List Metrics
metric_list
cmetric_list
data_metric_list
indx_metric_list
Commands That Control Output
outfile {filename|-|--}
appendfile filename
limit n
name { long | short } [ :{ shared-object-name | no-shared-object-name } ]
viewmode { user| expert | machine }
compare { on | off | delta | ratio }
printmode string
Commands That Print Other Information
header exp-id
ifreq
objects
overview exp_id
sample_detail [ exp_id ]
statistics exp_id
Commands for Experiments
add_exp exp_name
drop_exp exp_name
open_exp exp_name
Setting Defaults in .er.rc Files
dmetrics metric-spec
dsort metric-spec
en_desc { on | off | =regexp}
Miscellaneous Commands
procstats
script filename
version
quit
exit
help
# ...
Expression Grammar
Example Filter Expressions
er_print Command Examples
Chapter 6 Understanding Performance Analyzer and Its Data
How Data Collection Works
Experiment Format
archives Directory
Subexperiments
Dynamic Functions
Java Experiments
Recording Experiments
collect Experiments
dbx Experiments That Create a Process
dbx Experiments on a Running Process
Interpreting Performance Metrics
Clock Profiling
Accuracy of Timing Metrics
Comparisons of Timing Metrics
Hardware Counter Overflow Profiling
Dataspace Profiling and Memoryspace Profiling
Synchronization Wait Tracing
Heap Tracing
I/O Tracing
MPI Tracing
Call Stacks and Program Execution
Single-Threaded Execution and Function Calls
Function Calls Between Shared Objects
Signals
Traps
Tail-Call Optimization
Explicit Multithreading
Overview of Java Technology-Based Software Execution
Java Call Stacks and Machine Call Stacks
Clock Profiling and Hardware Counter Overflow Profiling
Java Profiling View Modes
User View Mode of Java Profiling Data
Expert View Mode of Java Profiling Data
Machine View Mode of Java Profiling Data
Overview of OpenMP Software Execution
User View Mode of OpenMP Profile Data
Artificial Functions
User Mode Call Stacks
OpenMP Metrics
Expert View Mode of OpenMP Profiling Data
Machine View Mode of OpenMP Profiling Data
Incomplete Stack Unwinds
Intermediate Files
Mapping Addresses to Program Structure
Process Image
Load Objects and Functions
Aliased Functions
Non-Unique Function Names
Static Functions From Stripped Shared Libraries
Fortran Alternate Entry Points
Cloned Functions
Inlined Functions
Compiler-Generated Body Functions
Outline Functions
Dynamically Compiled Functions
<Unknown> Function
OpenMP Special Functions
<JVM-System> Function
<no Java callstack recorded> Function
<Truncated-stack> Function
<Total> Function
Functions Related to Hardware Counter Overflow Profiling
Mapping Performance Data to Index Objects
Mapping Performance Data to Memory Objects
Mapping Data Addresses to Program Data Objects
Data Object Descriptors
<Total> Data Object
<Scalars> Data Object
<Unknown> Data Object and Its Elements
Chapter 7 Understanding Annotated Source and Disassembly Data
How the Tools Find Source Code
Annotated Source Code
Performance Analyzer Source View Layout
Identifying the Original Source Lines
Index Lines in the Source View
Compiler Commentary
Common Subexpression Elimination
Loop Optimizations
Inlining of Functions
Parallelization
Special Lines in the Annotated Source
Source Line Metrics
Interpreting Source Line Metrics
Metric Formats
Annotated Disassembly Code
Interpreting Annotated Disassembly
Instruction Issue Grouping
Instruction Issue Delay
Attribution of Hardware Counter Overflows
Special Lines in the Source, Disassembly and PCs Tabs
Outline Functions
Compiler-Generated Body Functions
Dynamically Compiled Functions
Java Native Functions
Cloned Functions
Static Functions
Inclusive Metrics
Annotations for Store and Load Instructions
Branch Target
Viewing Source/Disassembly Without an Experiment
-func
-{source,src} item tag
-{disasm,dis} item tag
-{cc,scc,dcc} com-spec
-outfile filename
-V
Chapter 8 Manipulating Experiments
Manipulating Experiments
Copying Experiments With the er_cp Utility
Moving Experiments With the er_mv Utility
Deleting Experiments With the er_rm Utility
Labeling Experiments
er_label Command Syntax
er_label Examples
Using er_label in Scripts
Other Utilities
er_archive Utility
–n
–q
–F
–s option
–m regex
–V
er_export Utility
Chapter 9 Kernel Profiling
Kernel Experiments
Setting Up Your System for Kernel Profiling
Running the er_kernel Utility
To Profile the Kernel with er_kernel
To Profile Under Load with er_kernel
Profiling the Kernel for Hardware Counter Overflows
Profiling Kernel and User Processes
Alternative Method for Profiling Kernel and Load Together
To Profile the Kernel and Load Together
Analyzing a Kernel Profile
Index
Index Numbers and Symbols
Index A
Index B
Index C
Index D
Index E
Index F
Index H
Index I
Index J
Index K
Index L
Index M
Index N
Index O
Index P
Index R
Index S
Index T
Index U
Index V
Index W
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cpu_list
Display the list of CPUs currently selected for analysis.
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