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From: Daugherty Jean <[email-masked]>
Date: Mon, 16 Jul 2007 22:17:27 -0400

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This paper has been adopted by the OpenMP Architecture Review Board as
an official ARB White Paper.

The argument list tells the compiler how to  arrange variables in the
correct registers. The example Mandelbrot program is written in C.

With some tinkering, it would be possible to match the performance in
-fast with inline assembly code.

L is name of the list and blk is a block to be executed for every list
element. Initializer in the declaration ensures that the list is
initially empty.

It could be done using memcpy function, but then we will lose type
checking because parameters of memcpy are void pointers.

When an OpenMP program executes, it will generate many entries into
parallel regions; each entry into a parallel region is a separate
instance of that region. The answer is that -fast doesn't always perform
better than inline code. The include file details which ones are safe to
be called from an asynchronous signal handler.

He was head of Operating Systems at Vitesse Electronics, and then worked
on operating system performance and performance tools at Sun
Microsystems and then at Silicon Graphics. As long as interfaces are
clearly defined and strictly follow typing rules, it works well.
This makes the program more readable because the assembly instructions
are hidden in the inline file. A statement expression has type void if
the last statement is not an expression that returns a value.

So for performance tuning, trying -fast is a great place to start. On
the other hand, statistical profiles have the advantage that they can
scale very nicely to long-running programs, simply by throttling the
profiling rate. You would send the same signal to pause data collection
either shortly before or just after the benchmark load is terminated.
The tools derives OpenMP metrics from these streams, and synthesizes the
user-model callstack from the implementation model data in the streams.
Although FINDMAX macro is not complex enough to require goto's it is
rewritten to demonstrate how local labels can be used.

In the performance tools each profile packet contains data specific to
the profile being collected, which is used to construct metrics of
performance. A compound statement, which we use in the macro definition
to limit the scope of the local variables, can not return a value. We
referenced the recent IWOMP paper describing the use of the methodology
and tools.

If no register request is made, the OpenMP runtime will never generate
events to the collector. So for performance tuning, trying -fast is a
great place to start.

It has a init section, and that section asks the runtime linker if the
OpenMP API symbol is present.

Understanding OpenMP Performance There are two challenges to building a
performance tool to help users understand OpenMP performance. Descendant
Process Controls As WAS Servers usually do not spawn additional
processes, the command option "-F on" is not needed. The answer is that
-fast doesn't always perform better than inline code. On the other hand,
statistical profiles have the advantage that they can scale very nicely
to long-running programs, simply by throttling the profiling rate.

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Sun Studio compilers provide the flexibility to do either, which
benefits developers.

The beautiful thing about this is that it was so easy to use. It should
be a locally-mounted, as opposed to NFS-mounted, file system. This paper
has been adopted by the OpenMP Architecture Review Board as an official
ARB White Paper. To profile a server, you must ensure that the JVM
command launching the server is prepended with the collect command with
appropriate arguments.

Iteration stops when blk is evaluated to nonzero value and macro
TLISTFIND returns pointer to the current node.
If -fast shows significant improvement, then it might not be worth all
the effort to write inline assembly code.
Writing assembly code is not trivial for most people. Computing all the
pixel values of the Mandelbrot set using the Sun Studio compiler is
timed. References For further information on performance tuning, docs.
This section will describe the differences between the models.
There are a variety of ways to handle this.

You might find that your problem has already been solved. For
clock-profiling, the metrics include Total-time, User-CPU-Time,
System-CPU-Time, and a number of others.
Using the API to Collect Data The above section described the API
between the collector and the OpenMP runtime.

Note that in the slave threads, there is no connection between main and,
for that matter, foo, and the actual executing function, foo-OMPa.

Note that in the slave threads, there is no connection between main and,
for that matter, foo, and the actual executing function, foo-OMPa.

The  -fast flag is an umbrella flag that invokes a collection of flags
in the correct dependency order to achieve optimization. Each packet has
normal performance data, augmented with the current parallel-region ID
within which the thread is executing and the OpenMP runtime state for
that thread. The first problem to resolve is that of rendezvous, that
is, how the OpenMP runtime and the collector can find each other. For
example,     startServer.
The tools derives OpenMP metrics from these streams, and synthesizes the
user-model callstack from the implementation model data in the streams.
The compiler then searches that . An idea of pointers to nodes as
iterators fits well.