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openmpi/ompi/mca/coll/ml/coll_ml_memsync.c
Pavel Shamis 3a683419c5 Fixing broken dependency between ML/BCOLS
This is hot-fix patch for the issue reported by Ralph. 
In future we plan to restructure ml data structure layout.

Tested by Nathan.

cmr=v1.7.5:ticket=trac:4158

This commit was SVN r30619.

The following Trac tickets were found above:
  Ticket 4158 --> https://svn.open-mpi.org/trac/ompi/ticket/4158
2014-02-07 19:15:45 +00:00

176 строки
6.6 KiB
C

/* -*- Mode: C; c-basic-offset:4 ; indent-tabs-mode:nil -*- */
/*
* Copyright (c) 2009-2012 Oak Ridge National Laboratory. All rights reserved.
* Copyright (c) 2009-2012 Mellanox Technologies. All rights reserved.
* Copyright (c) 2013 Los Alamos National Security, LLC. All rights
* reserved.
* $COPYRIGHT$
*
* Additional copyrights may follow
*
* $HEADER$
*/
/** @file */
#include "ompi_config.h"
#include "ompi/constants.h"
#include "opal/threads/mutex.h"
#include "ompi/communicator/communicator.h"
#include "ompi/mca/bcol/bcol.h"
#include "ompi/mca/coll/coll.h"
#include "opal/sys/atomic.h"
#include "ompi/mca/coll/ml/coll_ml.h"
#include "ompi/mca/coll/ml/coll_ml_inlines.h"
#include "ompi/mca/coll/ml/coll_ml_allocation.h"
static int mca_coll_ml_memsync_recycle_memory(mca_coll_ml_collective_operation_progress_t *coll_op)
{
mca_coll_ml_module_t *ml_module = (mca_coll_ml_module_t *)coll_op->coll_module;
mca_bcol_base_memory_block_desc_t *ml_memblock = ml_module->payload_block;
mca_coll_ml_collective_operation_progress_t *pending_op = NULL;
int bank = coll_op->full_message.bank_index_to_recycle;
int rc;
bool have_resources = true;
assert(bank >= 0 ||
bank < (int)ml_memblock->num_banks ||
ML_MEMSYNC == coll_op->fragment_data.current_coll_op);
ML_VERBOSE(10,("MEMSYNC: bank %d was recycled coll_op %p", bank, coll_op));
/* set the bank as free */
ml_memblock->bank_is_busy[bank] = false;
ml_memblock->bank_release_counters[bank] = 0;
/* Check if we have any requests that are waiting for memory */
while(opal_list_get_size(&ml_module->waiting_for_memory_list) && have_resources) {
pending_op = (mca_coll_ml_collective_operation_progress_t *)
opal_list_get_first(&ml_module->waiting_for_memory_list);
ML_VERBOSE(10, ("Trying to start pending %p", pending_op));
assert(pending_op->pending & REQ_OUT_OF_MEMORY);
rc = pending_op->fragment_data.message_descriptor->fragment_launcher(pending_op);
switch (rc) {
case OMPI_SUCCESS:
ML_VERBOSE(10, ("Pending fragment was started %p", pending_op));
pending_op->pending ^= REQ_OUT_OF_MEMORY;
opal_list_remove_item(&ml_module->waiting_for_memory_list,
(opal_list_item_t *)pending_op);
if (0 != pending_op->fragment_data.offset_into_user_buffer) {
/* non-zero offset ==> this is not fragment 0 */
CHECK_AND_RECYCLE(pending_op);
}
break;
case OMPI_ERR_TEMP_OUT_OF_RESOURCE:
ML_VERBOSE(10, ("Already on the list %p", pending_op));
have_resources = false;
break;
default:
ML_ERROR(("Error happened %d", rc));
return rc;
}
}
ML_VERBOSE(10, ("Memsync done %p", coll_op));
return OMPI_SUCCESS;
}
static void mca_coll_ml_barrier_task_setup(
mca_coll_ml_task_status_t *task_status,
int index, mca_coll_ml_compound_functions_t *func)
{
task_status->rt_num_dependencies = func->num_dependencies;
task_status->rt_num_dependent_tasks = func->num_dependent_tasks;
task_status->rt_dependent_task_indices = func->dependent_task_indices;
}
static inline __opal_attribute_always_inline__ int mca_coll_ml_memsync_launch(mca_coll_ml_module_t *ml_module,
ompi_request_t **req, int bank_index)
{
mca_coll_ml_collective_operation_progress_t *coll_op;
coll_op = mca_coll_ml_alloc_op_prog_single_frag_dag(ml_module,
ml_module->coll_ml_memsync_function,
NULL, NULL, 0, 0);
assert(NULL != coll_op);
ML_VERBOSE(10, ("Get coll request %p", coll_op));
coll_op->fragment_data.buffer_desc = NULL;
/* Caching bank index for future memory recycling callback */
coll_op->full_message.bank_index_to_recycle = bank_index;
coll_op->fragment_data.current_coll_op = ML_MEMSYNC;
/* I don't want to define one more parameter, so under root
* we pass buffer index */
coll_op->variable_fn_params.root = bank_index;
/* As well it's little bit ugly, since it is no wait for this request,
* in order to recycle it we have to set offset to some value > 1 */
coll_op->fragment_data.offset_into_user_buffer = 1;
coll_op->variable_fn_params.buffer_index = MCA_COLL_ML_NO_BUFFER;
coll_op->variable_fn_params.sequence_num = -1; /* It should be safe to use -1 */
/* Pointer to a coll finalize function */
if (OPAL_LIKELY(ml_module->initialized)) {
coll_op->process_fn = mca_coll_ml_memsync_recycle_memory;
} else {
/* No post work on first call */
coll_op->process_fn = NULL;
}
ML_VERBOSE(10,("Memsync start %p", &coll_op));
return mca_coll_ml_generic_collectives_append_to_queue(coll_op, mca_coll_ml_barrier_task_setup);
}
/**
* Non blocking memory syncronization
*/
int mca_coll_ml_memsync_intra(mca_coll_ml_module_t *ml_module, int bank_index)
{
int rc;
ompi_request_t *req;
ML_VERBOSE(8, ("MEMSYNC start"));
if (OPAL_UNLIKELY(0 == opal_list_get_size(&ml_module->active_bcols_list))) {
/* Josh's change: In the case where only p2p is active, we have no way
* to reset the bank release counters to zero, I am doing that here since it
* would actually be "correct" to do it outside of this conditional, however
* I suspect that reseting the value to zero elsewhere would result in corrupted
* flow for non-contiguous data types
*/
/* nasty hack to ensure that resources are released in the single level
* ptp case.
*/
mca_coll_ml_collective_operation_progress_t dummy_coll;
dummy_coll.coll_module = (mca_coll_base_module_t *) ml_module;
dummy_coll.fragment_data.current_coll_op = ML_MEMSYNC;
dummy_coll.full_message.bank_index_to_recycle = bank_index;
/* Handling special case when memory syncronization is not required */
rc = mca_coll_ml_memsync_recycle_memory(&dummy_coll);
if(OPAL_UNLIKELY(rc != OMPI_SUCCESS)){
ML_ERROR(("Failed to flush the list."));
return rc;
}
} else {
/* retain the communicator until the operation is finished. the communicator
* will be released by CHECK_AND_RECYCLE */
OBJ_RETAIN(ml_module->comm);
rc = mca_coll_ml_memsync_launch(ml_module, &req, bank_index);
if (OPAL_UNLIKELY(rc != OMPI_SUCCESS)) {
ML_ERROR(("Failed to launch a barrier."));
return rc;
}
}
return OMPI_SUCCESS;
}