2015-01-06 18:45:08 +03:00
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/* -*- Mode: C; c-basic-offset:4 ; indent-tabs-mode:nil -*- */
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2012-02-24 06:13:33 +04:00
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/*
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* Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana
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* University Research and Technology
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* Corporation. All rights reserved.
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* Copyright (c) 2004-2008 The University of Tennessee and The University
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* of Tennessee Research Foundation. All rights
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* reserved.
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2015-06-24 06:59:57 +03:00
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* Copyright (c) 2004-2008 High Performance Computing Center Stuttgart,
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2012-02-24 06:13:33 +04:00
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* University of Stuttgart. All rights reserved.
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* Copyright (c) 2004-2005 The Regents of the University of California.
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* All rights reserved.
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* Copyright (c) 2008 UT-Battelle, LLC. All rights reserved.
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* Copyright (c) 2010 Oracle and/or its affiliates. All rights reserved.
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2015-02-27 17:02:12 +03:00
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* Copyright (c) 2012-2015 NVIDIA Corporation. All rights reserved.
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2015-01-06 18:45:08 +03:00
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* Copyright (c) 2015 Los Alamos National Security, LLC. All rights
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* reserved.
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2012-02-24 06:13:33 +04:00
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* $COPYRIGHT$
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2015-06-24 06:59:57 +03:00
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*
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2012-02-24 06:13:33 +04:00
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* Additional copyrights may follow
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2015-06-24 06:59:57 +03:00
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*
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2012-02-24 06:13:33 +04:00
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* $HEADER$
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*/
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#include "ompi_config.h"
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#include "opal/prefetch.h"
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George did the work and deserves all the credit for it. Ralph did the merge, and deserves whatever blame results from errors in it :-)
WHAT: Open our low-level communication infrastructure by moving all necessary components (btl/rcache/allocator/mpool) down in OPAL
All the components required for inter-process communications are currently deeply integrated in the OMPI layer. Several groups/institutions have express interest in having a more generic communication infrastructure, without all the OMPI layer dependencies. This communication layer should be made available at a different software level, available to all layers in the Open MPI software stack. As an example, our ORTE layer could replace the current OOB and instead use the BTL directly, gaining access to more reactive network interfaces than TCP. Similarly, external software libraries could take advantage of our highly optimized AM (active message) communication layer for their own purpose. UTK with support from Sandia, developped a version of Open MPI where the entire communication infrastucture has been moved down to OPAL (btl/rcache/allocator/mpool). Most of the moved components have been updated to match the new schema, with few exceptions (mainly BTLs where I have no way of compiling/testing them). Thus, the completion of this RFC is tied to being able to completing this move for all BTLs. For this we need help from the rest of the Open MPI community, especially those supporting some of the BTLs. A non-exhaustive list of BTLs that qualify here is: mx, portals4, scif, udapl, ugni, usnic.
This commit was SVN r32317.
2014-07-26 04:47:28 +04:00
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#include "opal/mca/btl/btl.h"
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2015-06-24 06:59:57 +03:00
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#include "opal/mca/mpool/mpool.h"
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2012-02-24 06:13:33 +04:00
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#include "ompi/constants.h"
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#include "ompi/mca/pml/pml.h"
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#include "pml_ob1.h"
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#include "pml_ob1_hdr.h"
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#include "pml_ob1_rdmafrag.h"
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#include "pml_ob1_recvreq.h"
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#include "pml_ob1_sendreq.h"
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#include "ompi/mca/bml/base/base.h"
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#include "ompi/memchecker.h"
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size_t mca_pml_ob1_rdma_cuda_btls(
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mca_bml_base_endpoint_t* bml_endpoint,
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unsigned char* base,
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size_t size,
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mca_pml_ob1_com_btl_t* rdma_btls);
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int mca_pml_ob1_cuda_need_buffers(void * rreq,
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mca_btl_base_module_t* btl);
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2013-08-22 01:00:09 +04:00
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void mca_pml_ob1_cuda_add_ipc_support(struct mca_btl_base_module_t* btl, int32_t flags,
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ompi_proc_t* errproc, char* btlinfo);
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2012-02-24 06:13:33 +04:00
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/**
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* Handle the CUDA buffer.
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*/
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int mca_pml_ob1_send_request_start_cuda(mca_pml_ob1_send_request_t* sendreq,
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mca_bml_base_btl_t* bml_btl,
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size_t size) {
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int rc;
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2013-11-01 16:19:40 +04:00
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#if OPAL_CUDA_SUPPORT_41
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2013-12-06 18:35:10 +04:00
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#if OPAL_CUDA_GDR_SUPPORT
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2013-11-13 17:22:39 +04:00
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/* With some BTLs, switch to RNDV from RGET at large messages */
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2015-06-24 06:59:57 +03:00
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if ((sendreq->req_send.req_base.req_convertor.flags & CONVERTOR_CUDA) &&
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2013-11-13 17:22:39 +04:00
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(sendreq->req_send.req_bytes_packed > (bml_btl->btl->btl_cuda_rdma_limit - sizeof(mca_pml_ob1_hdr_t)))) {
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return mca_pml_ob1_send_request_start_rndv(sendreq, bml_btl, 0, 0);
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}
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2015-06-24 06:59:57 +03:00
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#endif /* OPAL_CUDA_GDR_SUPPORT */
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2013-11-13 17:22:39 +04:00
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2012-02-24 06:13:33 +04:00
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sendreq->req_send.req_base.req_convertor.flags &= ~CONVERTOR_CUDA;
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if (opal_convertor_need_buffers(&sendreq->req_send.req_base.req_convertor) == false) {
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unsigned char *base;
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opal_convertor_get_current_pointer( &sendreq->req_send.req_base.req_convertor, (void**)&base );
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/* Set flag back */
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sendreq->req_send.req_base.req_convertor.flags |= CONVERTOR_CUDA;
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if( 0 != (sendreq->req_rdma_cnt = (uint32_t)mca_pml_ob1_rdma_cuda_btls(
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sendreq->req_endpoint,
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base,
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sendreq->req_send.req_bytes_packed,
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sendreq->req_rdma))) {
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rc = mca_pml_ob1_send_request_start_rdma(sendreq, bml_btl,
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sendreq->req_send.req_bytes_packed);
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if( OPAL_UNLIKELY(OMPI_SUCCESS != rc) ) {
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mca_pml_ob1_free_rdma_resources(sendreq);
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}
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} else {
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if (bml_btl->btl_flags & MCA_BTL_FLAGS_CUDA_PUT) {
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rc = mca_pml_ob1_send_request_start_rndv(sendreq, bml_btl, size,
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MCA_PML_OB1_HDR_FLAGS_CONTIG);
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} else {
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2013-01-18 02:34:43 +04:00
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rc = mca_pml_ob1_send_request_start_rndv(sendreq, bml_btl, 0, 0);
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2012-02-24 06:13:33 +04:00
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}
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}
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} else {
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/* Do not send anything with first rendezvous message as copying GPU
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* memory into RNDV message is expensive. */
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sendreq->req_send.req_base.req_convertor.flags |= CONVERTOR_CUDA;
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rc = mca_pml_ob1_send_request_start_rndv(sendreq, bml_btl, 0, 0);
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}
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#else
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/* Just do the rendezvous but set initial data to be sent to zero */
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rc = mca_pml_ob1_send_request_start_rndv(sendreq, bml_btl, 0, 0);
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2013-11-01 16:19:40 +04:00
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#endif /* OPAL_CUDA_SUPPORT_41 */
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2012-02-24 06:13:33 +04:00
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return rc;
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}
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2015-06-24 06:59:57 +03:00
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2012-02-24 06:13:33 +04:00
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size_t mca_pml_ob1_rdma_cuda_btls(
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mca_bml_base_endpoint_t* bml_endpoint,
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unsigned char* base,
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size_t size,
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mca_pml_ob1_com_btl_t* rdma_btls)
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{
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int num_btls = mca_bml_base_btl_array_get_size(&bml_endpoint->btl_send);
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double weight_total = 0;
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int num_btls_used = 0, n;
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/* shortcut when there are no rdma capable btls */
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if(num_btls == 0) {
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return 0;
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}
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2015-06-24 06:59:57 +03:00
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/* check to see if memory is registered */
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2012-02-24 06:13:33 +04:00
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for(n = 0; n < num_btls && num_btls_used < mca_pml_ob1.max_rdma_per_request;
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n++) {
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mca_bml_base_btl_t* bml_btl =
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mca_bml_base_btl_array_get_index(&bml_endpoint->btl_send, n);
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if (bml_btl->btl_flags & MCA_BTL_FLAGS_CUDA_GET) {
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2015-01-06 18:45:08 +03:00
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mca_btl_base_registration_handle_t *handle = NULL;
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2012-02-24 06:13:33 +04:00
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2015-01-06 18:45:08 +03:00
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if( NULL != bml_btl->btl->btl_register_mem ) {
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2012-02-24 06:13:33 +04:00
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/* register the memory */
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2015-01-06 18:45:08 +03:00
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handle = bml_btl->btl->btl_register_mem (bml_btl->btl, bml_btl->btl_endpoint,
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base, size, MCA_BTL_REG_FLAG_CUDA_GPU_MEM |
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MCA_BTL_REG_FLAG_REMOTE_READ);
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2012-02-24 06:13:33 +04:00
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}
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2015-01-06 18:45:08 +03:00
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if(NULL == handle)
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2012-02-24 06:13:33 +04:00
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continue;
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rdma_btls[num_btls_used].bml_btl = bml_btl;
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2015-01-06 18:45:08 +03:00
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rdma_btls[num_btls_used].btl_reg = handle;
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2012-02-24 06:13:33 +04:00
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weight_total += bml_btl->btl_weight;
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num_btls_used++;
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}
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}
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/* if we don't use leave_pinned and all BTLs that already have this memory
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* registered amount to less then half of available bandwidth - fall back to
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* pipeline protocol */
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if(0 == num_btls_used || (!mca_pml_ob1.leave_pinned && weight_total < 0.5))
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return 0;
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mca_pml_ob1_calc_weighted_length(rdma_btls, num_btls_used, size,
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weight_total);
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return num_btls_used;
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}
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int mca_pml_ob1_cuda_need_buffers(void * rreq,
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2015-06-24 06:59:57 +03:00
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mca_btl_base_module_t* btl)
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2012-02-24 06:13:33 +04:00
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{
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mca_pml_ob1_recv_request_t* recvreq = (mca_pml_ob1_recv_request_t*)rreq;
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2015-06-24 06:59:57 +03:00
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mca_bml_base_endpoint_t* bml_endpoint =
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2013-08-30 20:54:55 +04:00
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(mca_bml_base_endpoint_t*)recvreq->req_recv.req_base.req_proc->proc_endpoints[OMPI_PROC_ENDPOINT_TAG_BML];
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2013-08-22 01:00:09 +04:00
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mca_bml_base_btl_t *bml_btl = mca_bml_base_btl_array_find(&bml_endpoint->btl_send, btl);
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2015-02-27 17:02:12 +03:00
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/* A btl could be in the rdma list but not in the send list so check there also */
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if (NULL == bml_btl) {
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bml_btl = mca_bml_base_btl_array_find(&bml_endpoint->btl_rdma, btl);
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}
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/* We should always be able to find back the bml_btl based on the btl */
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assert(NULL != bml_btl);
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2012-02-24 06:13:33 +04:00
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if ((recvreq->req_recv.req_base.req_convertor.flags & CONVERTOR_CUDA) &&
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2013-08-22 01:00:09 +04:00
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(bml_btl->btl_flags & MCA_BTL_FLAGS_CUDA_GET)) {
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2012-02-24 06:13:33 +04:00
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recvreq->req_recv.req_base.req_convertor.flags &= ~CONVERTOR_CUDA;
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if(opal_convertor_need_buffers(&recvreq->req_recv.req_base.req_convertor) == true) {
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recvreq->req_recv.req_base.req_convertor.flags |= CONVERTOR_CUDA;
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return true;
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} else {
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recvreq->req_recv.req_base.req_convertor.flags |= CONVERTOR_CUDA;
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return false;
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}
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}
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return true;
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}
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2013-08-22 01:00:09 +04:00
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/*
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* This function enables us to start using RDMA get protocol with GPU buffers.
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* We do this by adjusting the flags in the BML structure. This is not the
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* best thing, but this may go away if CUDA IPC is supported everywhere in the
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* future. */
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void mca_pml_ob1_cuda_add_ipc_support(struct mca_btl_base_module_t* btl, int32_t flags,
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ompi_proc_t* errproc, char* btlinfo)
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2015-06-24 06:59:57 +03:00
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{
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2013-08-22 01:00:09 +04:00
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mca_bml_base_endpoint_t* ep;
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int btl_verbose_stream = 0;
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int i;
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assert(NULL != errproc);
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2013-08-30 20:54:55 +04:00
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assert(NULL != errproc->proc_endpoints[OMPI_PROC_ENDPOINT_TAG_BML]);
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2013-08-22 01:00:09 +04:00
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if (NULL != btlinfo) {
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btl_verbose_stream = *(int *)btlinfo;
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}
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2013-08-30 20:54:55 +04:00
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ep = (mca_bml_base_endpoint_t*)errproc->proc_endpoints[OMPI_PROC_ENDPOINT_TAG_BML];
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2013-08-22 01:00:09 +04:00
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/* Find the corresponding bml and adjust the flag to support CUDA get */
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for( i = 0; i < (int)ep->btl_send.arr_size; i++ ) {
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if( ep->btl_send.bml_btls[i].btl == btl ) {
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ep->btl_send.bml_btls[i].btl_flags |= MCA_BTL_FLAGS_CUDA_GET;
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opal_output_verbose(5, btl_verbose_stream,
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"BTL %s: rank=%d enabling CUDA IPC "
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"to rank=%d on node=%s \n",
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btl->btl_component->btl_version.mca_component_name,
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OMPI_PROC_MY_NAME->vpid,
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George did the work and deserves all the credit for it. Ralph did the merge, and deserves whatever blame results from errors in it :-)
WHAT: Open our low-level communication infrastructure by moving all necessary components (btl/rcache/allocator/mpool) down in OPAL
All the components required for inter-process communications are currently deeply integrated in the OMPI layer. Several groups/institutions have express interest in having a more generic communication infrastructure, without all the OMPI layer dependencies. This communication layer should be made available at a different software level, available to all layers in the Open MPI software stack. As an example, our ORTE layer could replace the current OOB and instead use the BTL directly, gaining access to more reactive network interfaces than TCP. Similarly, external software libraries could take advantage of our highly optimized AM (active message) communication layer for their own purpose. UTK with support from Sandia, developped a version of Open MPI where the entire communication infrastucture has been moved down to OPAL (btl/rcache/allocator/mpool). Most of the moved components have been updated to match the new schema, with few exceptions (mainly BTLs where I have no way of compiling/testing them). Thus, the completion of this RFC is tied to being able to completing this move for all BTLs. For this we need help from the rest of the Open MPI community, especially those supporting some of the BTLs. A non-exhaustive list of BTLs that qualify here is: mx, portals4, scif, udapl, ugni, usnic.
This commit was SVN r32317.
2014-07-26 04:47:28 +04:00
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((ompi_process_name_t*)&errproc->super.proc_name)->vpid,
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errproc->super.proc_hostname);
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2013-08-22 01:00:09 +04:00
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}
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}
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}
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