-qsmp

Category

Optimization and tuning

Pragma equivalent

None.

Purpose

Enables parallelization of program code.

Defaults

-qnosmp. Code is produced for a uniprocessor machine.

Parameters

auto | noauto

auto enables automatic parallelization and optimization of program code; that is the compiler attempts to automatically parallelize both user and compiler-generated loops. noauto parallelizes only program code that is explicitly annotated with OpenMP directives. noauto is implied if you specify -qsmp=omp or -qsmp=noopt.

omp | noomp

omp implies noauto, that is, only program code that is explicitly annotated with OpenMP directives is parallelized. When noomp is in effect, auto is implied.

opt | noopt

opt enables optimization of parallelized program code. noopt performs the smallest amount of optimization that is required to parallelize the code. This is useful for debugging because -qsmp enables the -O2 and -qhot options by default, which may result in the movement of some variables into registers that are inaccessible to the debugger. However, if the -qsmp=noopt and -g options are specified, these variables will remain visible to the debugger.

rec_locks | norec_locks

Determines whether recursive locks are used. When rec_locks is in effect, nested critical sections will not cause a deadlock. Note that the rec_locks suboption specifies behavior for critical constructs that is inconsistent with the OpenMP API.

schedule

Specifies the type of scheduling algorithms and, except in the case of auto, chunk size (n) that are used for loops to which no other scheduling algorithm has been explicitly assigned in the source code. Suboptions of the schedule suboption are as follows:

affinity[=n]

The iterations of a loop are initially divided into n partitions, containing ceiling(number_of_iterations/number_of_threads) iterations. Each partition is initially assigned to a thread and is then further subdivided into chunks that each contain n iterations. If n is not specified, then the chunks consist of ceiling(number_of_iterations_left_in_partition / 2) loop iterations.

When a thread becomes free, it takes the next chunk from its initially assigned partition. If there are no more chunks in that partition, then the thread takes the next available chunk from a partition initially assigned to another thread.

The work in a partition initially assigned to a sleeping thread will be completed by threads that are active.

The affinity scheduling type is not part of the OpenMP API specification.

Note: This suboption has been deprecated. You can use the OMP_SCHEDULE environment variable with the dynamic clause for a similar functionality.

auto

Scheduling of the loop iterations is delegated to the compiler and runtime systems. The compiler and runtime system can choose any possible mapping of iterations to threads (including all possible valid schedule types) and these might be different in different loops. Do not specify chunk size (n).

dynamic[=n]

The iterations of a loop are divided into chunks that contain n iterations each. If n is not specified, each chunk contains one iteration.

Active threads are assigned these chunks on a "first-come, first-do" basis. Chunks of the remaining work are assigned to available threads until all work has been assigned.

guided[=n]

The iterations of a loop are divided into progressively smaller chunks until a minimum chunk size of n loop iterations is reached. If n is not specified, the default value for n is 1 iteration.

Active threads are assigned chunks on a "first-come, first-do" basis. The first chunk contains ceiling(number_of_iterations/number_of_threads) iterations. Subsequent chunks consist of ceiling(number_of_iterations_left / number_of_threads) iterations.

runtime

Specifies that the chunking algorithm will be determined at run time.

static[=n]

The iterations of a loop are divided into chunks containing n iterations each. Each thread is assigned chunks in a "round-robin" fashion. This is known as block cyclic scheduling. If the value of n is 1, then the scheduling type is specifically referred to as cyclic scheduling.

If n is not specified, the chunks will contain floor(number_of_iterations/number_of_threads) iterations. The first remainder (number_of_iterations/number_of_threads) chunks have one more iteration. Each thread is assigned a separate chunk. This is known as block scheduling.

If a thread is asleep and it has been assigned work, it will be awakened so that it may complete its work.

n

Must be an integer of value 1 or greater.

Specifying schedule with no suboption is equivalent to schedule=auto.

stackcheck | nostackcheck

Causes the compiler to check for stack overflow by slave threads at run time, and issue a warning if the remaining stack size is less than the number of bytes specified by the stackcheck option of the XLSMPOPTS environment variable. This suboption is intended for debugging purposes, and only takes effect when XLSMPOPTS=stackcheck is also set; see XLSMPOPTS.

threshold[=n]

When -qsmp=auto is in effect, controls the amount of automatic loop parallelization that occurs. The value of n represents the minimum amount of work required in a loop in order for it to be parallelized. Currently, the calculation of "work" is weighted heavily by the number of iterations in the loop. In general, the higher the value specified for n, the fewer loops are parallelized. Specifying a value of 0 instructs the compiler to parallelize all auto-parallelizable loops, whether or not it is profitable to do so. Specifying a value of 100 instructs the compiler to parallelize only those auto-parallelizable loops that it deems profitable. Specifying a value of greater than 100 will result in more loops being serialized.

n

Must be a positive integer of 0 or greater.

If you specify threshold with no suboption, the program uses a default value of 100.

-qsmp=auto:opt:noomp:norec_locks:schedule=auto:
nostackcheck:threshold=100

Usage

• Specifying the omp suboption always implies noauto. Specify -qsmp=omp:auto to apply automatic parallelization on OpenMP-compliant applications, as well.
• Object files generated with the -qsmp=opt option can be linked with object files generated with -qsmp=noopt. The visibility within the debugger of the variables in each object file will not be affected by linking.
• The -qnosmp default option setting specifies that no code should be generated for parallelization directives, though syntax checking will still be performed. Use -qignprag=omp to completely ignore parallelization directives.
• Specifying -qsmp implicitly sets -O2. The -qsmp option overrides -qnooptimize, but does not override -O3, -O4, or -O5. When debugging parallelized program code, you can disable optimization in parallelized program code by specifying -qsmp=noopt.
• The -qsmp=noopt suboption overrides performance optimization options anywhere on the command line unless -qsmp appears after -qsmp=noopt. For example, -qsmp=noopt -O3 is equivalent to -qsmp=noopt, while -qsmp=noopt -O3 -qsmp is equivalent to -qsmp -O3.

Related information

• -O, -qoptimize