Update the message on whether update and constraints are offloaded
[gromacs.git] / src / gromacs / taskassignment / reportgpuusage.cpp
blob48d825f282aa0ed4752f24cef1ef65df7f919cd2
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35 /*! \internal \file
36 * \brief Defines routine for reporting GPU usage.
38 * \author Mark Abraham <mark.j.abraham@gmail.com>
39 * \ingroup module_taskassignment
41 #include "gmxpre.h"
43 #include "reportgpuusage.h"
45 #include <set>
46 #include <string>
48 #include "gromacs/ewald/pme.h"
49 #include "gromacs/gpu_utils/gpu_utils.h"
50 #include "gromacs/taskassignment/taskassignment.h"
51 #include "gromacs/utility/arrayref.h"
52 #include "gromacs/utility/cstringutil.h"
53 #include "gromacs/utility/logger.h"
54 #include "gromacs/utility/stringutil.h"
55 #include "gromacs/utility/sysinfo.h"
57 namespace gmx
60 namespace
63 /*! \brief Count and return the number of unique GPUs (per node) selected.
65 * As sharing GPUs among multiple ranks is possible, the number of
66 * GPUs used (per node) can be different from the number of GPU IDs
67 * used.
69 size_t countUniqueGpuIdsUsed(ArrayRef<const GpuTaskAssignment> gpuTaskAssignmentOnRanksOfThisNode)
71 std::set<int> uniqueIds;
72 for (const auto& assignmentsOnRank : gpuTaskAssignmentOnRanksOfThisNode)
74 for (const auto& assignmentOfTask : assignmentsOnRank)
76 uniqueIds.insert(assignmentOfTask.deviceId_);
79 return uniqueIds.size();
82 } // namespace
84 void reportGpuUsage(const MDLogger& mdlog,
85 ArrayRef<const GpuTaskAssignment> gpuTaskAssignmentOnRanksOfThisNode,
86 size_t numGpuTasksOnThisNode,
87 size_t numRanks,
88 bool printHostName,
89 bool useGpuForBonded,
90 PmeRunMode pmeRunMode,
91 bool useGpuForUpdate)
93 size_t numGpusInUse = countUniqueGpuIdsUsed(gpuTaskAssignmentOnRanksOfThisNode);
94 if (numGpusInUse == 0)
96 return;
99 std::string output;
101 std::string gpuIdsString;
102 const char* currentSeparator = "";
103 const char* separator = ",";
104 for (const auto& assignmentsOnRank : gpuTaskAssignmentOnRanksOfThisNode)
106 if (assignmentsOnRank.empty())
108 gpuIdsString += currentSeparator;
109 gpuIdsString += "none";
110 currentSeparator = separator;
112 else
114 for (const auto& assignmentOnRank : assignmentsOnRank)
116 const char* rankType = (assignmentOnRank.task_ == GpuTask::Nonbonded ? "PP" : "PME");
117 gpuIdsString += currentSeparator;
118 gpuIdsString += formatString("%s:%d", rankType, assignmentOnRank.deviceId_);
119 currentSeparator = separator;
123 bool bPluralGpus = numGpusInUse > 1;
125 if (printHostName)
127 char host[STRLEN];
128 gmx_gethostname(host, STRLEN);
129 output += gmx::formatString("On host %s ", host);
131 output += gmx::formatString(
132 "%zu GPU%s selected for this run.\n"
133 "Mapping of GPU IDs to the %zu GPU task%s in the %zu rank%s on this node:\n %s\n",
134 numGpusInUse, bPluralGpus ? "s" : "", numGpuTasksOnThisNode,
135 (numGpuTasksOnThisNode > 1) ? "s" : "", numRanks, (numRanks > 1) ? "s" : "",
136 gpuIdsString.c_str());
137 // Because there is a GPU in use, there must be a PP task on a GPU.
138 output += gmx::formatString(
139 "PP tasks will do (non-perturbed) short-ranged%s interactions on the GPU\n",
140 useGpuForBonded ? " and most bonded" : "");
141 output += gmx::formatString("PP task will update and constrain coordinates on the %s",
142 useGpuForUpdate ? "GPU" : "CPU");
143 if (pmeRunMode == PmeRunMode::Mixed)
145 output += gmx::formatString("PME tasks will do only spread and gather on the GPU\n");
147 else if (pmeRunMode == PmeRunMode::GPU)
149 output += gmx::formatString("PME tasks will do all aspects on the GPU\n");
153 /* NOTE: this print is only for and on one physical node */
154 GMX_LOG(mdlog.warning).appendText(output);
157 } // namespace gmx