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authorSebastian Huber <sebastian.huber@embedded-brains.de>2015-09-03 14:45:44 +0200
committerSebastian Huber <sebastian.huber@embedded-brains.de>2015-09-04 13:44:47 +0200
commite1769f27643ea0a174e341ae92a41279728556c0 (patch)
tree37814fe70944676a95cd8484125f5ceac27510b6
parentdafa5d88435853809040761b79ab9d8f2217281b (diff)
downloadrtems-e1769f27643ea0a174e341ae92a41279728556c0.tar.bz2
smp: Documentation
Close #2274.
-rw-r--r--doc/user/smp.t65
1 files changed, 65 insertions, 0 deletions
diff --git a/doc/user/smp.t b/doc/user/smp.t
index de07f3c2d9..5427403221 100644
--- a/doc/user/smp.t
+++ b/doc/user/smp.t
@@ -466,6 +466,71 @@ architecture please consult the @cite{RTEMS CPU Architecture Supplement}.
The only remaining user of task variables in the RTEMS code base is the Ada
support. So basically Ada is not available on RTEMS SMP.
+@subsection OpenMP
+
+OpenMP support for RTEMS is available via the GCC provided libgomp. There is
+libgomp support for RTEMS in the POSIX configuration of libgomp since GCC 4.9
+(requires a Newlib snapshot after 2015-03-12). In GCC 6.1 or later (requires a
+Newlib snapshot after 2015-07-30 for <sys/lock.h> provided self-contained
+synchronization objects) there is a specialized libgomp configuration for RTEMS
+which offers a significantly better performance compared to the POSIX
+configuration of libgomp. In addition application configurable thread pools
+for each scheduler instance are available in GCC 6.1 or later.
+
+The run-time configuration of libgomp is done via environment variables
+documented in the @uref{https://gcc.gnu.org/onlinedocs/libgomp/, libgomp
+manual}. The environment variables are evaluated in a constructor function
+which executes in the context of the first initialization task before the
+actual initialization task function is called (just like a global C++
+constructor). To set application specific values, a higher priority
+constructor function must be used to set up the environment variables.
+
+@example
+@group
+#include <stdlib.h>
+
+void __attribute__((constructor(1000))) config_libgomp( void )
+@{
+ setenv( "OMP_DISPLAY_ENV", "VERBOSE", 1 );
+ setenv( "GOMP_SPINCOUNT", "30000", 1 );
+ setenv( "GOMP_RTEMS_THREAD_POOLS", "1$2@@SCHD", 1 );
+@}
+@end group
+@end example
+
+The environment variable @env{GOMP_RTEMS_THREAD_POOLS} is RTEMS specific. It
+determines the thread pools for each scheduler instance. The format for
+@env{GOMP_RTEMS_THREAD_POOLS} is a list of optional
+@code{<thread-pool-count>[$<priority>]@@<scheduler-name>} configurations
+separated by @code{:} where:
+
+@itemize @bullet
+@item @code{<thread-pool-count>} is the thread pool count for this scheduler
+instance.
+@item @code{$<priority>} is an optional priority for the worker threads of a
+thread pool according to @code{pthread_setschedparam}. In case a priority
+value is omitted, then a worker thread will inherit the priority of the OpenMP
+master thread that created it. The priority of the worker thread is not
+changed by libgomp after creation, even if a new OpenMP master thread using the
+worker has a different priority.
+@item @code{@@<scheduler-name>} is the scheduler instance name according to the
+RTEMS application configuration.
+@end itemize
+
+In case no thread pool configuration is specified for a scheduler instance,
+then each OpenMP master thread of this scheduler instance will use its own
+dynamically allocated thread pool. To limit the worker thread count of the
+thread pools, each OpenMP master thread must call @code{omp_set_num_threads}.
+
+Lets suppose we have three scheduler instances @code{IO}, @code{WRK0}, and
+@code{WRK1} with @env{GOMP_RTEMS_THREAD_POOLS} set to
+@code{"1@@WRK0:3$4@@WRK1"}. Then there are no thread pool restrictions for
+scheduler instance @code{IO}. In the scheduler instance @code{WRK0} there is
+one thread pool available. Since no priority is specified for this scheduler
+instance, the worker thread inherits the priority of the OpenMP master thread
+that created it. In the scheduler instance @code{WRK1} there are three thread
+pools available and their worker threads run at priority four.
+
@subsection Thread Dispatch Details
This section gives background information to developers interested in the