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openmpi/ompi/mca/bcol/basesmuma/bcol_basesmuma_reduce.c

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C
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coll/ml: add support for blocking and non-blocking allreduce, reduce, and allgather. The new collectives provide a signifigant performance increase over tuned for small and medium messages. We are initially setting the priority lower than tuned until this has had some time to soak in the trunk. Please set coll_ml_priority to 90 for MTT runs. Credit for this work goes to Manjunath Gorentla Venkata (ORNL), Pavel Shamis (ORNL), and Nathan Hjelm (LANL). Commit details (for reference): Import ORNL's collectives for MPI_Allreduce, MPI_Reduce, and MPI_Allgather. We need to take the basesmuma header into account when calculating the ptpcoll small message thresholds. Add a define to bcol.h indicating the maximum header size so we can take the header into account while not making ptpcoll dependent on information from basesmuma. This resolves an issue with allreduce where ptpcoll overwrites the header of the next buffer in the basesmuma bank. Fix reduce and make a sequential collective launcher in coll_ml_inlines.h The root calculation for reduce was wrong for any root != 0. There are four possibilities for the root: - The root is not the current process but is in the current hierarchy. In this case the root is the index of the global root as specified in the root vector. - The root is not the current process and is not in the next level of the hierarchy. In this case 0 must be the local root since this process will never communicate with the real root. - The root is not the current process but will be in next level of the hierarchy. In this case the current process must be the root. - I am the root. The root is my index. Tested with IMB which rotates the root on every call to MPI_Reduce. Consider IMB the reproducer for the issue this commit solves. Make the bcast algorithm decision an enumerated variable Resolve various asset failures when destructing coll ml requests. Two issues: - Always reset the request to be invalid before returning it to the free list. This will avoid an asset in ompi_request_t's destructor. OMPI_REQUEST_FINI does this (and also releases the fortran handle index). - Never explicitly construct or destruct the superclass of an opal object. This screws up the class function tables and will cause either an assert failure or a segmentation fault when destructing coll ml requests. Cleanup allgather. I removed the duplicate non-blocking and blocking functions and modeled the cleanup after what I found in allreduce. Also cleaned up the code somewhat. Don't bother copying from the send to the recieve buffer in bcol_basesmuma_allreduce_intra_fanin_fanout if the pointers are the same. The eliminates a warning about memcpy and aliasing and avoids an unnecessary call to memcpy. Alwasy call CHECK_AND_RELEASE on memsync collectives. There was a call to OBJ_RELEASE on the collective communicator but because CHECK_AND_RECYLCE was never called there was not matching call to OBJ_RELEASE. This caused coll ml to leak communicators. Make allreduce use the sequential collective launcher in coll_ml_inlines.h Just launch the next collective in the component progress. I am a little unsure about this patch. There appears to be some sort of race between collectives that causes buffer exhaustion in some cases (IMB Allreduce is a reproducer). Changing progress to only launch the next bcol seems to resolve the issue but might not be the best fix. Note that I see little-no performance penalty for this change. Fix allreduce when there are extra sources. There was an issue with the buffer offset calculation when there are extra sources. In the case of extra sources == 1 the offset was set to buffer_size (just past the header of the next buffer). I adjusted the buffer size to take into accoun the maximum header size (see the earlier commit that added this) and simplified the offset calculation. Make reduce/allreduce non-blocking. This is required for MPI_Comm_idup to work correctly. This has been tested with various layouts using the ibm testsuite and imb and appears to have the same performance as the old blocking version. Fix allgather for non-contiguous layouts and simplify parsing the topology. Some things in this patch: - There were several comments to the effect that level 0 of the hierarchy MUST contain all of the ranks. At least one function made this assumption but it was not true. I changed the sbgp components and the coll ml initization code to enforce this requirement. - Ensure that hierarchy level 0 has the ranks in the correct scatter gather order. This removes the need for a separate sort list and fixes the offset calculation for allgather. - There were several passes over the hierarchy to determine properties of the hierarchy. I eliminated these extra passes and the memory allocation associated with them and calculate the tree properties on the fly. The same DFS recursion also handles the re-order of level 0. All these changes have been verified with MPI_Allreduce, MPI_Reduce, and MPI_Allgather. All functions now pass all IBM/Open MPI, and IMB tests. coll/ml: correct pointer usage for MPI_BOTTOM Since contiguous datatypes are copied via memcpy (bypassing the convertor) we need to adjust for the lb of the datatype. This corrects problems found testing code that uses MPI_BOTTOM (NULL) as the send pointer. Add fallback collectives for allreduce and reduce. cmr=v1.7.5:reviewer=pasha This commit was SVN r30363.
2014-01-22 19:39:19 +04:00
/* -*- Mode: C; c-basic-offset:4 ; indent-tabs-mode:nil -*- */
/*
* Copyright (c) 2009-2013 Oak Ridge National Laboratory. All rights reserved.
* Copyright (c) 2009-2012 Mellanox Technologies. All rights reserved.
coll/ml: cleanup some merge related errors cmr=v1.7.5:ticket=trac:4158 This commit was SVN r30366. The following Trac tickets were found above: Ticket 4158 --> https://svn.open-mpi.org/trac/ompi/ticket/4158
2014-01-22 20:48:09 +04:00
* Copyright (c) 2013-2014 Los Alamos National Security, LLC. All rights
coll/ml: add support for blocking and non-blocking allreduce, reduce, and allgather. The new collectives provide a signifigant performance increase over tuned for small and medium messages. We are initially setting the priority lower than tuned until this has had some time to soak in the trunk. Please set coll_ml_priority to 90 for MTT runs. Credit for this work goes to Manjunath Gorentla Venkata (ORNL), Pavel Shamis (ORNL), and Nathan Hjelm (LANL). Commit details (for reference): Import ORNL's collectives for MPI_Allreduce, MPI_Reduce, and MPI_Allgather. We need to take the basesmuma header into account when calculating the ptpcoll small message thresholds. Add a define to bcol.h indicating the maximum header size so we can take the header into account while not making ptpcoll dependent on information from basesmuma. This resolves an issue with allreduce where ptpcoll overwrites the header of the next buffer in the basesmuma bank. Fix reduce and make a sequential collective launcher in coll_ml_inlines.h The root calculation for reduce was wrong for any root != 0. There are four possibilities for the root: - The root is not the current process but is in the current hierarchy. In this case the root is the index of the global root as specified in the root vector. - The root is not the current process and is not in the next level of the hierarchy. In this case 0 must be the local root since this process will never communicate with the real root. - The root is not the current process but will be in next level of the hierarchy. In this case the current process must be the root. - I am the root. The root is my index. Tested with IMB which rotates the root on every call to MPI_Reduce. Consider IMB the reproducer for the issue this commit solves. Make the bcast algorithm decision an enumerated variable Resolve various asset failures when destructing coll ml requests. Two issues: - Always reset the request to be invalid before returning it to the free list. This will avoid an asset in ompi_request_t's destructor. OMPI_REQUEST_FINI does this (and also releases the fortran handle index). - Never explicitly construct or destruct the superclass of an opal object. This screws up the class function tables and will cause either an assert failure or a segmentation fault when destructing coll ml requests. Cleanup allgather. I removed the duplicate non-blocking and blocking functions and modeled the cleanup after what I found in allreduce. Also cleaned up the code somewhat. Don't bother copying from the send to the recieve buffer in bcol_basesmuma_allreduce_intra_fanin_fanout if the pointers are the same. The eliminates a warning about memcpy and aliasing and avoids an unnecessary call to memcpy. Alwasy call CHECK_AND_RELEASE on memsync collectives. There was a call to OBJ_RELEASE on the collective communicator but because CHECK_AND_RECYLCE was never called there was not matching call to OBJ_RELEASE. This caused coll ml to leak communicators. Make allreduce use the sequential collective launcher in coll_ml_inlines.h Just launch the next collective in the component progress. I am a little unsure about this patch. There appears to be some sort of race between collectives that causes buffer exhaustion in some cases (IMB Allreduce is a reproducer). Changing progress to only launch the next bcol seems to resolve the issue but might not be the best fix. Note that I see little-no performance penalty for this change. Fix allreduce when there are extra sources. There was an issue with the buffer offset calculation when there are extra sources. In the case of extra sources == 1 the offset was set to buffer_size (just past the header of the next buffer). I adjusted the buffer size to take into accoun the maximum header size (see the earlier commit that added this) and simplified the offset calculation. Make reduce/allreduce non-blocking. This is required for MPI_Comm_idup to work correctly. This has been tested with various layouts using the ibm testsuite and imb and appears to have the same performance as the old blocking version. Fix allgather for non-contiguous layouts and simplify parsing the topology. Some things in this patch: - There were several comments to the effect that level 0 of the hierarchy MUST contain all of the ranks. At least one function made this assumption but it was not true. I changed the sbgp components and the coll ml initization code to enforce this requirement. - Ensure that hierarchy level 0 has the ranks in the correct scatter gather order. This removes the need for a separate sort list and fixes the offset calculation for allgather. - There were several passes over the hierarchy to determine properties of the hierarchy. I eliminated these extra passes and the memory allocation associated with them and calculate the tree properties on the fly. The same DFS recursion also handles the re-order of level 0. All these changes have been verified with MPI_Allreduce, MPI_Reduce, and MPI_Allgather. All functions now pass all IBM/Open MPI, and IMB tests. coll/ml: correct pointer usage for MPI_BOTTOM Since contiguous datatypes are copied via memcpy (bypassing the convertor) we need to adjust for the lb of the datatype. This corrects problems found testing code that uses MPI_BOTTOM (NULL) as the send pointer. Add fallback collectives for allreduce and reduce. cmr=v1.7.5:reviewer=pasha This commit was SVN r30363.
2014-01-22 19:39:19 +04:00
* reserved.
* $COPYRIGHT$
*
* Additional copyrights may follow
*
* $HEADER$
*/
#include "ompi_config.h"
#include "ompi/constants.h"
#include "ompi/op/op.h"
#include "ompi/datatype/ompi_datatype.h"
#include "ompi/communicator/communicator.h"
#include "ompi/mca/bcol/base/base.h"
#include "ompi/mca/bcol/bcol.h"
#include "opal/include/opal_stdint.h"
#include "bcol_basesmuma.h"
#include "bcol_basesmuma_reduce.h"
/**
* gvm - Shared memory reduce
*/
static int bcol_basesmuma_reduce_intra_fanin_progress(bcol_function_args_t *input_args,
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 23:15:45 +04:00
mca_bcol_base_function_t *c_input_args);
coll/ml: add support for blocking and non-blocking allreduce, reduce, and allgather. The new collectives provide a signifigant performance increase over tuned for small and medium messages. We are initially setting the priority lower than tuned until this has had some time to soak in the trunk. Please set coll_ml_priority to 90 for MTT runs. Credit for this work goes to Manjunath Gorentla Venkata (ORNL), Pavel Shamis (ORNL), and Nathan Hjelm (LANL). Commit details (for reference): Import ORNL's collectives for MPI_Allreduce, MPI_Reduce, and MPI_Allgather. We need to take the basesmuma header into account when calculating the ptpcoll small message thresholds. Add a define to bcol.h indicating the maximum header size so we can take the header into account while not making ptpcoll dependent on information from basesmuma. This resolves an issue with allreduce where ptpcoll overwrites the header of the next buffer in the basesmuma bank. Fix reduce and make a sequential collective launcher in coll_ml_inlines.h The root calculation for reduce was wrong for any root != 0. There are four possibilities for the root: - The root is not the current process but is in the current hierarchy. In this case the root is the index of the global root as specified in the root vector. - The root is not the current process and is not in the next level of the hierarchy. In this case 0 must be the local root since this process will never communicate with the real root. - The root is not the current process but will be in next level of the hierarchy. In this case the current process must be the root. - I am the root. The root is my index. Tested with IMB which rotates the root on every call to MPI_Reduce. Consider IMB the reproducer for the issue this commit solves. Make the bcast algorithm decision an enumerated variable Resolve various asset failures when destructing coll ml requests. Two issues: - Always reset the request to be invalid before returning it to the free list. This will avoid an asset in ompi_request_t's destructor. OMPI_REQUEST_FINI does this (and also releases the fortran handle index). - Never explicitly construct or destruct the superclass of an opal object. This screws up the class function tables and will cause either an assert failure or a segmentation fault when destructing coll ml requests. Cleanup allgather. I removed the duplicate non-blocking and blocking functions and modeled the cleanup after what I found in allreduce. Also cleaned up the code somewhat. Don't bother copying from the send to the recieve buffer in bcol_basesmuma_allreduce_intra_fanin_fanout if the pointers are the same. The eliminates a warning about memcpy and aliasing and avoids an unnecessary call to memcpy. Alwasy call CHECK_AND_RELEASE on memsync collectives. There was a call to OBJ_RELEASE on the collective communicator but because CHECK_AND_RECYLCE was never called there was not matching call to OBJ_RELEASE. This caused coll ml to leak communicators. Make allreduce use the sequential collective launcher in coll_ml_inlines.h Just launch the next collective in the component progress. I am a little unsure about this patch. There appears to be some sort of race between collectives that causes buffer exhaustion in some cases (IMB Allreduce is a reproducer). Changing progress to only launch the next bcol seems to resolve the issue but might not be the best fix. Note that I see little-no performance penalty for this change. Fix allreduce when there are extra sources. There was an issue with the buffer offset calculation when there are extra sources. In the case of extra sources == 1 the offset was set to buffer_size (just past the header of the next buffer). I adjusted the buffer size to take into accoun the maximum header size (see the earlier commit that added this) and simplified the offset calculation. Make reduce/allreduce non-blocking. This is required for MPI_Comm_idup to work correctly. This has been tested with various layouts using the ibm testsuite and imb and appears to have the same performance as the old blocking version. Fix allgather for non-contiguous layouts and simplify parsing the topology. Some things in this patch: - There were several comments to the effect that level 0 of the hierarchy MUST contain all of the ranks. At least one function made this assumption but it was not true. I changed the sbgp components and the coll ml initization code to enforce this requirement. - Ensure that hierarchy level 0 has the ranks in the correct scatter gather order. This removes the need for a separate sort list and fixes the offset calculation for allgather. - There were several passes over the hierarchy to determine properties of the hierarchy. I eliminated these extra passes and the memory allocation associated with them and calculate the tree properties on the fly. The same DFS recursion also handles the re-order of level 0. All these changes have been verified with MPI_Allreduce, MPI_Reduce, and MPI_Allgather. All functions now pass all IBM/Open MPI, and IMB tests. coll/ml: correct pointer usage for MPI_BOTTOM Since contiguous datatypes are copied via memcpy (bypassing the convertor) we need to adjust for the lb of the datatype. This corrects problems found testing code that uses MPI_BOTTOM (NULL) as the send pointer. Add fallback collectives for allreduce and reduce. cmr=v1.7.5:reviewer=pasha This commit was SVN r30363.
2014-01-22 19:39:19 +04:00
int bcol_basesmuma_reduce_init(mca_bcol_base_module_t *super)
{
mca_bcol_base_coll_fn_comm_attributes_t comm_attribs;
mca_bcol_base_coll_fn_invoke_attributes_t inv_attribs;
comm_attribs.bcoll_type = BCOL_REDUCE;
comm_attribs.comm_size_min = 0;
comm_attribs.comm_size_max = 16;
comm_attribs.data_src = DATA_SRC_KNOWN;
comm_attribs.waiting_semantics = NON_BLOCKING;
inv_attribs.bcol_msg_min = 0;
inv_attribs.bcol_msg_max = 20000;
inv_attribs.datatype_bitmap = 0x11111111;
inv_attribs.op_types_bitmap = 0x11111111;
/* Set attributes for fanin fanout algorithm */
mca_bcol_base_set_attributes(super, &comm_attribs, &inv_attribs, bcol_basesmuma_reduce_intra_fanin,
bcol_basesmuma_reduce_intra_fanin_progress);
inv_attribs.bcol_msg_min = 10000000;
inv_attribs.bcol_msg_max = 10485760; /* range 4 */
mca_bcol_base_set_attributes(super, &comm_attribs, &inv_attribs, NULL, NULL);
return OMPI_SUCCESS;
}
/*
* Small data fanin reduce
* ML buffers are used for both payload and control structures
* This functions works with hierarchical allreduce and
* progress engine
*/
static inline int reduce_children (mca_bcol_basesmuma_module_t *bcol_module, volatile void *rbuf, netpatterns_tree_node_t *my_reduction_node,
int *iteration, volatile mca_bcol_basesmuma_header_t *my_ctl_pointer, ompi_datatype_t *dtype,
volatile mca_bcol_basesmuma_payload_t *data_buffs, int count, struct ompi_op_t *op, int process_shift) {
volatile mca_bcol_basesmuma_header_t * child_ctl_pointer;
int bcol_id = (int) bcol_module->super.bcol_id;
int64_t sequence_number = my_ctl_pointer->sequence_number;
int8_t ready_flag = my_ctl_pointer->ready_flag;
int group_size = bcol_module->colls_no_user_data.size_of_group;
if (LEAF_NODE != my_reduction_node->my_node_type) {
volatile char *child_data_pointer;
volatile void *child_rbuf;
/* for each child */
/* my_result_data = child_result_data (op) my_source_data */
for (int child = *iteration ; child < my_reduction_node->n_children ; ++child) {
int child_rank = my_reduction_node->children_ranks[child] + process_shift;
if (group_size <= child_rank){
child_rank -= group_size;
}
child_ctl_pointer = data_buffs[child_rank].ctl_struct;
child_data_pointer = data_buffs[child_rank].payload;
if (!IS_PEER_READY(child_ctl_pointer, ready_flag, sequence_number, REDUCE_FLAG, bcol_id)) {
*iteration = child;
return BCOL_FN_STARTED;
}
child_rbuf = child_data_pointer + child_ctl_pointer->roffsets[bcol_id];
ompi_op_reduce(op,(void *)child_rbuf,(void *)rbuf, count, dtype);
} /* end child loop */
}
if (ROOT_NODE != my_reduction_node->my_node_type) {
opal_atomic_wmb ();
my_ctl_pointer->flags[REDUCE_FLAG][bcol_id] = ready_flag;
}
return BCOL_FN_COMPLETE;
}
static int bcol_basesmuma_reduce_intra_fanin_progress(bcol_function_args_t *input_args,
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 23:15:45 +04:00
mca_bcol_base_function_t *c_input_args)
coll/ml: add support for blocking and non-blocking allreduce, reduce, and allgather. The new collectives provide a signifigant performance increase over tuned for small and medium messages. We are initially setting the priority lower than tuned until this has had some time to soak in the trunk. Please set coll_ml_priority to 90 for MTT runs. Credit for this work goes to Manjunath Gorentla Venkata (ORNL), Pavel Shamis (ORNL), and Nathan Hjelm (LANL). Commit details (for reference): Import ORNL's collectives for MPI_Allreduce, MPI_Reduce, and MPI_Allgather. We need to take the basesmuma header into account when calculating the ptpcoll small message thresholds. Add a define to bcol.h indicating the maximum header size so we can take the header into account while not making ptpcoll dependent on information from basesmuma. This resolves an issue with allreduce where ptpcoll overwrites the header of the next buffer in the basesmuma bank. Fix reduce and make a sequential collective launcher in coll_ml_inlines.h The root calculation for reduce was wrong for any root != 0. There are four possibilities for the root: - The root is not the current process but is in the current hierarchy. In this case the root is the index of the global root as specified in the root vector. - The root is not the current process and is not in the next level of the hierarchy. In this case 0 must be the local root since this process will never communicate with the real root. - The root is not the current process but will be in next level of the hierarchy. In this case the current process must be the root. - I am the root. The root is my index. Tested with IMB which rotates the root on every call to MPI_Reduce. Consider IMB the reproducer for the issue this commit solves. Make the bcast algorithm decision an enumerated variable Resolve various asset failures when destructing coll ml requests. Two issues: - Always reset the request to be invalid before returning it to the free list. This will avoid an asset in ompi_request_t's destructor. OMPI_REQUEST_FINI does this (and also releases the fortran handle index). - Never explicitly construct or destruct the superclass of an opal object. This screws up the class function tables and will cause either an assert failure or a segmentation fault when destructing coll ml requests. Cleanup allgather. I removed the duplicate non-blocking and blocking functions and modeled the cleanup after what I found in allreduce. Also cleaned up the code somewhat. Don't bother copying from the send to the recieve buffer in bcol_basesmuma_allreduce_intra_fanin_fanout if the pointers are the same. The eliminates a warning about memcpy and aliasing and avoids an unnecessary call to memcpy. Alwasy call CHECK_AND_RELEASE on memsync collectives. There was a call to OBJ_RELEASE on the collective communicator but because CHECK_AND_RECYLCE was never called there was not matching call to OBJ_RELEASE. This caused coll ml to leak communicators. Make allreduce use the sequential collective launcher in coll_ml_inlines.h Just launch the next collective in the component progress. I am a little unsure about this patch. There appears to be some sort of race between collectives that causes buffer exhaustion in some cases (IMB Allreduce is a reproducer). Changing progress to only launch the next bcol seems to resolve the issue but might not be the best fix. Note that I see little-no performance penalty for this change. Fix allreduce when there are extra sources. There was an issue with the buffer offset calculation when there are extra sources. In the case of extra sources == 1 the offset was set to buffer_size (just past the header of the next buffer). I adjusted the buffer size to take into accoun the maximum header size (see the earlier commit that added this) and simplified the offset calculation. Make reduce/allreduce non-blocking. This is required for MPI_Comm_idup to work correctly. This has been tested with various layouts using the ibm testsuite and imb and appears to have the same performance as the old blocking version. Fix allgather for non-contiguous layouts and simplify parsing the topology. Some things in this patch: - There were several comments to the effect that level 0 of the hierarchy MUST contain all of the ranks. At least one function made this assumption but it was not true. I changed the sbgp components and the coll ml initization code to enforce this requirement. - Ensure that hierarchy level 0 has the ranks in the correct scatter gather order. This removes the need for a separate sort list and fixes the offset calculation for allgather. - There were several passes over the hierarchy to determine properties of the hierarchy. I eliminated these extra passes and the memory allocation associated with them and calculate the tree properties on the fly. The same DFS recursion also handles the re-order of level 0. All these changes have been verified with MPI_Allreduce, MPI_Reduce, and MPI_Allgather. All functions now pass all IBM/Open MPI, and IMB tests. coll/ml: correct pointer usage for MPI_BOTTOM Since contiguous datatypes are copied via memcpy (bypassing the convertor) we need to adjust for the lb of the datatype. This corrects problems found testing code that uses MPI_BOTTOM (NULL) as the send pointer. Add fallback collectives for allreduce and reduce. cmr=v1.7.5:reviewer=pasha This commit was SVN r30363.
2014-01-22 19:39:19 +04:00
{
mca_bcol_basesmuma_module_t* bcol_module =
(mca_bcol_basesmuma_module_t *)c_input_args->bcol_module;
netpatterns_tree_node_t *my_reduction_node;
int my_rank, my_node_index;
struct ompi_datatype_t *dtype = input_args->dtype;
int leading_dim, idx;
/* Buffer index */
int buff_idx = input_args->src_desc->buffer_index;
int *iteration = &bcol_module->ml_mem.nb_coll_desc[buff_idx].iteration;
volatile mca_bcol_basesmuma_payload_t *data_buffs;
volatile mca_bcol_basesmuma_header_t *my_ctl_pointer;
void *data_addr = (void *)input_args->src_desc->data_addr;
volatile void *rbuf;
/* get addressing information */
my_rank = bcol_module->super.sbgp_partner_module->my_index;
leading_dim = bcol_module->colls_no_user_data.size_of_group;
idx = SM_ARRAY_INDEX(leading_dim, buff_idx, 0);
data_buffs = (volatile mca_bcol_basesmuma_payload_t *)
bcol_module->colls_with_user_data.data_buffs + idx;
/* Get control structure and payload buffer */
my_ctl_pointer = data_buffs[my_rank].ctl_struct;
my_node_index = my_rank - input_args->root;
if (0 > my_node_index) {
int group_size = bcol_module->colls_no_user_data.size_of_group;
my_node_index += group_size;
}
my_reduction_node = bcol_module->reduction_tree + my_node_index;
rbuf = (volatile void *)((uintptr_t) data_addr + input_args->rbuf_offset);
return reduce_children (bcol_module, rbuf, my_reduction_node, iteration, my_ctl_pointer, dtype,
data_buffs, input_args->count, input_args->op, input_args->root);
}
int bcol_basesmuma_reduce_intra_fanin(bcol_function_args_t *input_args,
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 23:15:45 +04:00
mca_bcol_base_function_t *c_input_args)
coll/ml: add support for blocking and non-blocking allreduce, reduce, and allgather. The new collectives provide a signifigant performance increase over tuned for small and medium messages. We are initially setting the priority lower than tuned until this has had some time to soak in the trunk. Please set coll_ml_priority to 90 for MTT runs. Credit for this work goes to Manjunath Gorentla Venkata (ORNL), Pavel Shamis (ORNL), and Nathan Hjelm (LANL). Commit details (for reference): Import ORNL's collectives for MPI_Allreduce, MPI_Reduce, and MPI_Allgather. We need to take the basesmuma header into account when calculating the ptpcoll small message thresholds. Add a define to bcol.h indicating the maximum header size so we can take the header into account while not making ptpcoll dependent on information from basesmuma. This resolves an issue with allreduce where ptpcoll overwrites the header of the next buffer in the basesmuma bank. Fix reduce and make a sequential collective launcher in coll_ml_inlines.h The root calculation for reduce was wrong for any root != 0. There are four possibilities for the root: - The root is not the current process but is in the current hierarchy. In this case the root is the index of the global root as specified in the root vector. - The root is not the current process and is not in the next level of the hierarchy. In this case 0 must be the local root since this process will never communicate with the real root. - The root is not the current process but will be in next level of the hierarchy. In this case the current process must be the root. - I am the root. The root is my index. Tested with IMB which rotates the root on every call to MPI_Reduce. Consider IMB the reproducer for the issue this commit solves. Make the bcast algorithm decision an enumerated variable Resolve various asset failures when destructing coll ml requests. Two issues: - Always reset the request to be invalid before returning it to the free list. This will avoid an asset in ompi_request_t's destructor. OMPI_REQUEST_FINI does this (and also releases the fortran handle index). - Never explicitly construct or destruct the superclass of an opal object. This screws up the class function tables and will cause either an assert failure or a segmentation fault when destructing coll ml requests. Cleanup allgather. I removed the duplicate non-blocking and blocking functions and modeled the cleanup after what I found in allreduce. Also cleaned up the code somewhat. Don't bother copying from the send to the recieve buffer in bcol_basesmuma_allreduce_intra_fanin_fanout if the pointers are the same. The eliminates a warning about memcpy and aliasing and avoids an unnecessary call to memcpy. Alwasy call CHECK_AND_RELEASE on memsync collectives. There was a call to OBJ_RELEASE on the collective communicator but because CHECK_AND_RECYLCE was never called there was not matching call to OBJ_RELEASE. This caused coll ml to leak communicators. Make allreduce use the sequential collective launcher in coll_ml_inlines.h Just launch the next collective in the component progress. I am a little unsure about this patch. There appears to be some sort of race between collectives that causes buffer exhaustion in some cases (IMB Allreduce is a reproducer). Changing progress to only launch the next bcol seems to resolve the issue but might not be the best fix. Note that I see little-no performance penalty for this change. Fix allreduce when there are extra sources. There was an issue with the buffer offset calculation when there are extra sources. In the case of extra sources == 1 the offset was set to buffer_size (just past the header of the next buffer). I adjusted the buffer size to take into accoun the maximum header size (see the earlier commit that added this) and simplified the offset calculation. Make reduce/allreduce non-blocking. This is required for MPI_Comm_idup to work correctly. This has been tested with various layouts using the ibm testsuite and imb and appears to have the same performance as the old blocking version. Fix allgather for non-contiguous layouts and simplify parsing the topology. Some things in this patch: - There were several comments to the effect that level 0 of the hierarchy MUST contain all of the ranks. At least one function made this assumption but it was not true. I changed the sbgp components and the coll ml initization code to enforce this requirement. - Ensure that hierarchy level 0 has the ranks in the correct scatter gather order. This removes the need for a separate sort list and fixes the offset calculation for allgather. - There were several passes over the hierarchy to determine properties of the hierarchy. I eliminated these extra passes and the memory allocation associated with them and calculate the tree properties on the fly. The same DFS recursion also handles the re-order of level 0. All these changes have been verified with MPI_Allreduce, MPI_Reduce, and MPI_Allgather. All functions now pass all IBM/Open MPI, and IMB tests. coll/ml: correct pointer usage for MPI_BOTTOM Since contiguous datatypes are copied via memcpy (bypassing the convertor) we need to adjust for the lb of the datatype. This corrects problems found testing code that uses MPI_BOTTOM (NULL) as the send pointer. Add fallback collectives for allreduce and reduce. cmr=v1.7.5:reviewer=pasha This commit was SVN r30363.
2014-01-22 19:39:19 +04:00
{
/* local variables */
int rc=BCOL_FN_COMPLETE;
int my_rank,group_size,my_node_index;
mca_bcol_basesmuma_module_t* bcol_module =
(mca_bcol_basesmuma_module_t *)c_input_args->bcol_module;
netpatterns_tree_node_t *my_reduction_node;
volatile int8_t ready_flag;
int bcol_id = (int) bcol_module->super.bcol_id;
volatile void *sbuf,*rbuf;
int sbuf_offset,rbuf_offset;
int root,count;
int64_t sequence_number=input_args->sequence_num;
struct ompi_datatype_t *dtype;
int leading_dim,idx;
/* Buffer index */
int buff_idx = input_args->src_desc->buffer_index;
int *iteration = &bcol_module->ml_mem.nb_coll_desc[buff_idx].iteration;
volatile mca_bcol_basesmuma_payload_t *data_buffs;
volatile char * my_data_pointer;
volatile mca_bcol_basesmuma_header_t *my_ctl_pointer;
void *data_addr = (void *)input_args->src_desc->data_addr;
#if 0
fprintf(stderr,"777 entering sm reduce \n");
#endif
/* get addressing information */
my_rank=bcol_module->super.sbgp_partner_module->my_index;
group_size=bcol_module->colls_no_user_data.size_of_group;
leading_dim=bcol_module->colls_no_user_data.size_of_group;
idx=SM_ARRAY_INDEX(leading_dim,buff_idx,0);
data_buffs = (volatile mca_bcol_basesmuma_payload_t *)
bcol_module->colls_with_user_data.data_buffs+idx;
/* fprintf(stderr,"AAA the devil!!\n"); */
/* Get control structure and payload buffer */
my_ctl_pointer = data_buffs[my_rank].ctl_struct;
my_data_pointer = (volatile char *)data_addr;
/* Align node index to around sbgp root */
root = input_args->root;
my_node_index = my_rank - root;
if (0 > my_node_index) {
my_node_index += group_size;
}
/* get arguments */
sbuf_offset = input_args->sbuf_offset;
rbuf_offset = input_args->rbuf_offset;
sbuf = (volatile void *)(my_data_pointer + sbuf_offset);
data_buffs[my_rank].payload = (void*)sbuf;
rbuf = (volatile void *)(my_data_pointer + rbuf_offset);
count = input_args->count;
dtype = input_args->dtype;
/* Cache my rbuf_offset */
my_ctl_pointer->roffsets[bcol_id] = rbuf_offset;
/* get my node for the reduction tree */
my_reduction_node=&(bcol_module->reduction_tree[my_node_index]);
/* init the header */
BASESMUMA_HEADER_INIT(my_ctl_pointer, ready_flag, sequence_number, bcol_id);
input_args->result_in_rbuf = (ROOT_NODE == my_reduction_node->my_node_type);
/* set starting point for progress loop */
*iteration = 0;
my_ctl_pointer->ready_flag = ready_flag;
if (sbuf != rbuf) {
rc = ompi_datatype_copy_content_same_ddt(dtype, count, (char *)rbuf,
(char *)sbuf);
if( 0 != rc ) {
return OMPI_ERROR;
}
}
rc = reduce_children (bcol_module, rbuf, my_reduction_node, iteration, my_ctl_pointer, dtype,
data_buffs, count, input_args->op, root);
/* Flag value if other bcols are called */
my_ctl_pointer->starting_flag_value[bcol_id]++;
/* Recycle payload buffers */
return rc;
}
/* Small data fanin reduce
* Uses SM buffer (backed by SM file) for both control structures and
* payload
*
* NTH: How does this differ from the new one? Can we replace this
* with a call to the new init then a call the new progress until
* complete?
*/
int bcol_basesmuma_reduce_intra_fanin_old(bcol_function_args_t *input_args,
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 23:15:45 +04:00
mca_bcol_base_function_t *c_input_args)
coll/ml: add support for blocking and non-blocking allreduce, reduce, and allgather. The new collectives provide a signifigant performance increase over tuned for small and medium messages. We are initially setting the priority lower than tuned until this has had some time to soak in the trunk. Please set coll_ml_priority to 90 for MTT runs. Credit for this work goes to Manjunath Gorentla Venkata (ORNL), Pavel Shamis (ORNL), and Nathan Hjelm (LANL). Commit details (for reference): Import ORNL's collectives for MPI_Allreduce, MPI_Reduce, and MPI_Allgather. We need to take the basesmuma header into account when calculating the ptpcoll small message thresholds. Add a define to bcol.h indicating the maximum header size so we can take the header into account while not making ptpcoll dependent on information from basesmuma. This resolves an issue with allreduce where ptpcoll overwrites the header of the next buffer in the basesmuma bank. Fix reduce and make a sequential collective launcher in coll_ml_inlines.h The root calculation for reduce was wrong for any root != 0. There are four possibilities for the root: - The root is not the current process but is in the current hierarchy. In this case the root is the index of the global root as specified in the root vector. - The root is not the current process and is not in the next level of the hierarchy. In this case 0 must be the local root since this process will never communicate with the real root. - The root is not the current process but will be in next level of the hierarchy. In this case the current process must be the root. - I am the root. The root is my index. Tested with IMB which rotates the root on every call to MPI_Reduce. Consider IMB the reproducer for the issue this commit solves. Make the bcast algorithm decision an enumerated variable Resolve various asset failures when destructing coll ml requests. Two issues: - Always reset the request to be invalid before returning it to the free list. This will avoid an asset in ompi_request_t's destructor. OMPI_REQUEST_FINI does this (and also releases the fortran handle index). - Never explicitly construct or destruct the superclass of an opal object. This screws up the class function tables and will cause either an assert failure or a segmentation fault when destructing coll ml requests. Cleanup allgather. I removed the duplicate non-blocking and blocking functions and modeled the cleanup after what I found in allreduce. Also cleaned up the code somewhat. Don't bother copying from the send to the recieve buffer in bcol_basesmuma_allreduce_intra_fanin_fanout if the pointers are the same. The eliminates a warning about memcpy and aliasing and avoids an unnecessary call to memcpy. Alwasy call CHECK_AND_RELEASE on memsync collectives. There was a call to OBJ_RELEASE on the collective communicator but because CHECK_AND_RECYLCE was never called there was not matching call to OBJ_RELEASE. This caused coll ml to leak communicators. Make allreduce use the sequential collective launcher in coll_ml_inlines.h Just launch the next collective in the component progress. I am a little unsure about this patch. There appears to be some sort of race between collectives that causes buffer exhaustion in some cases (IMB Allreduce is a reproducer). Changing progress to only launch the next bcol seems to resolve the issue but might not be the best fix. Note that I see little-no performance penalty for this change. Fix allreduce when there are extra sources. There was an issue with the buffer offset calculation when there are extra sources. In the case of extra sources == 1 the offset was set to buffer_size (just past the header of the next buffer). I adjusted the buffer size to take into accoun the maximum header size (see the earlier commit that added this) and simplified the offset calculation. Make reduce/allreduce non-blocking. This is required for MPI_Comm_idup to work correctly. This has been tested with various layouts using the ibm testsuite and imb and appears to have the same performance as the old blocking version. Fix allgather for non-contiguous layouts and simplify parsing the topology. Some things in this patch: - There were several comments to the effect that level 0 of the hierarchy MUST contain all of the ranks. At least one function made this assumption but it was not true. I changed the sbgp components and the coll ml initization code to enforce this requirement. - Ensure that hierarchy level 0 has the ranks in the correct scatter gather order. This removes the need for a separate sort list and fixes the offset calculation for allgather. - There were several passes over the hierarchy to determine properties of the hierarchy. I eliminated these extra passes and the memory allocation associated with them and calculate the tree properties on the fly. The same DFS recursion also handles the re-order of level 0. All these changes have been verified with MPI_Allreduce, MPI_Reduce, and MPI_Allgather. All functions now pass all IBM/Open MPI, and IMB tests. coll/ml: correct pointer usage for MPI_BOTTOM Since contiguous datatypes are copied via memcpy (bypassing the convertor) we need to adjust for the lb of the datatype. This corrects problems found testing code that uses MPI_BOTTOM (NULL) as the send pointer. Add fallback collectives for allreduce and reduce. cmr=v1.7.5:reviewer=pasha This commit was SVN r30363.
2014-01-22 19:39:19 +04:00
{
/* local variables */
int rc=OMPI_SUCCESS;
int my_rank,group_size,process_shift,my_node_index;
int n_children,child;
mca_bcol_basesmuma_module_t* bcol_module =
(mca_bcol_basesmuma_module_t *)c_input_args->bcol_module;
netpatterns_tree_node_t *my_reduction_node;
volatile int8_t ready_flag;
volatile void *sbuf,*rbuf;
int sbuf_offset,rbuf_offset;
int root,count;
struct ompi_op_t *op;
int64_t sequence_number=input_args->sequence_num;
struct ompi_datatype_t *dtype;
int leading_dim,idx;
int buff_idx;
int child_rank;
int bcol_id = (int) bcol_module->super.bcol_id;
volatile mca_bcol_basesmuma_payload_t *data_buffs;
volatile char * my_data_pointer;
volatile char * child_data_pointer;
volatile mca_bcol_basesmuma_header_t *my_ctl_pointer;
volatile mca_bcol_basesmuma_header_t * child_ctl_pointer;
#if 0
fprintf(stderr,"Entering fanin reduce \n");
#endif
/* Buffer index */
buff_idx = input_args->src_desc->buffer_index;
/* get addressing information */
my_rank=bcol_module->super.sbgp_partner_module->my_index;
group_size=bcol_module->colls_no_user_data.size_of_group;
leading_dim=bcol_module->colls_no_user_data.size_of_group;
idx=SM_ARRAY_INDEX(leading_dim,buff_idx,0);
/*ctl_structs=(mca_bcol_basesmuma_ctl_struct_t **)
bcol_module->colls_with_user_data.ctl_buffs+idx;*/
data_buffs = (volatile mca_bcol_basesmuma_payload_t *)
bcol_module->colls_with_user_data.data_buffs+idx;
/* Get control structure and payload buffer */
my_ctl_pointer = data_buffs[my_rank].ctl_struct;
my_data_pointer = (volatile char *) data_buffs[my_rank].payload;
/* Align node index to around sbgp root */
root = input_args->root;
process_shift = root;
my_node_index = my_rank - root;
if (0 > my_node_index ) {
my_node_index += group_size;
}
/* get arguments */
sbuf_offset = input_args->sbuf_offset;
rbuf_offset = input_args->rbuf_offset;
sbuf = (volatile void *)(my_data_pointer + sbuf_offset);
rbuf = (volatile void *)(my_data_pointer + rbuf_offset);
op = input_args->op;
count = input_args->count;
dtype = input_args->dtype;
/* get my node for the reduction tree */
my_reduction_node=&(bcol_module->reduction_tree[my_node_index]);
n_children=my_reduction_node->n_children;
/* init the header */
BASESMUMA_HEADER_INIT(my_ctl_pointer, ready_flag, sequence_number, bcol_id);
input_args->result_in_rbuf = (ROOT_NODE == my_reduction_node->my_node_type);
rc = ompi_datatype_copy_content_same_ddt(dtype, count, (char *)rbuf,
(char *)sbuf);
if (0 != rc) {
return OMPI_ERROR;
}
if (LEAF_NODE != my_reduction_node->my_node_type) {
volatile void *child_rbuf;
/* for each child */
/* my_result_data = child_result_data (op) my_source_data */
for (child = 0 ; child < n_children ; ++child) {
child_rank = my_reduction_node->children_ranks[child];
child_rank += process_shift;
/* wrap around */
if( group_size <= child_rank ){
child_rank-=group_size;
}
/*child_ctl_pointer = ctl_structs[child_rank];*/
child_ctl_pointer = data_buffs[child_rank].ctl_struct;
child_data_pointer = data_buffs[child_rank].payload;
child_rbuf = child_data_pointer + rbuf_offset;
/* wait until child child's data is ready for use */
while (!IS_PEER_READY(child_ctl_pointer, ready_flag, sequence_number, REDUCE_FLAG, bcol_id)) {
opal_progress();
}
/* apply collective operation */
ompi_op_reduce(op,(void *)child_rbuf,(void *)rbuf, count,dtype);
} /* end child loop */
}
if (ROOT_NODE != my_reduction_node->my_node_type) {
opal_atomic_wmb ();
my_ctl_pointer->flags[REDUCE_FLAG][bcol_id] = ready_flag;
}
my_ctl_pointer->starting_flag_value[bcol_id]++;
return rc;
}
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