add GGML_USE_NUMA_MIGRATE feature to optimize cross NUMA op computation

common/arg.cpp

@@ -2276,12 +2276,18 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
         "- distribute: spread execution evenly over all nodes\n"
         "- isolate: only spawn threads on CPUs on the node that execution started on\n"
         "- numactl: use the CPU map provided by numactl\n"
+#ifdef GGML_USE_NUMA_MIGRATE
+        "- migrate: for affinity threads with page migration across NUMA nodes\n"
+#endif
         "if run without this previously, it is recommended to drop the system page cache before using this\n"
         "see https://github.com/ggml-org/llama.cpp/issues/1437",
         [](common_params & params, const std::string & value) {
             /**/ if (value == "distribute" || value == "") { params.numa = GGML_NUMA_STRATEGY_DISTRIBUTE; }
             else if (value == "isolate") { params.numa = GGML_NUMA_STRATEGY_ISOLATE; }
             else if (value == "numactl") { params.numa = GGML_NUMA_STRATEGY_NUMACTL; }
+#ifdef GGML_USE_NUMA_MIGRATE
+            else if (value == "migrate") { params.numa = GGML_NUMA_STRATEGY_MIGRATE; }
+#endif
             else { throw std::invalid_argument("invalid value"); }
         }
     ).set_env("LLAMA_ARG_NUMA"));

ggml/CMakeLists.txt

@@ -151,6 +151,11 @@ set(GGML_BLAS_VENDOR ${GGML_BLAS_VENDOR_DEFAULT} CACHE STRING
                                             "ggml: BLAS library vendor")
 option(GGML_LLAMAFILE                       "ggml: use LLAMAFILE"                             ${GGML_LLAMAFILE_DEFAULT})
 
+option(GGML_NUMA_MIGRATE                    "ggml: use NUMA_MIGRATE"                          OFF)
+set(GGML_NUMA_MIGRATE_NODES "2" CACHE STRING
+                                            "ggml: the number of NUMA nodes during page migration")
+option(GGML_NUMA_MIGRATE_DEBUG              "ggml: enable debugging of NUMA_MIGRATE"          OFF)
+
 option(GGML_CUDA                            "ggml: use CUDA"                                  OFF)
 option(GGML_MUSA                            "ggml: use MUSA"                                  OFF)
 option(GGML_CUDA_FORCE_MMQ                  "ggml: use mmq kernels instead of cuBLAS"         OFF)

ggml/include/ggml-backend.h

@@ -348,6 +348,9 @@ extern "C" {
     // CPU buffer types are always available
     GGML_API ggml_backend_buffer_t      ggml_backend_cpu_buffer_from_ptr(void * ptr, size_t size);
     GGML_API ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void);
+#ifdef GGML_USE_NUMA_MIGRATE
+    GGML_API size_t ggml_backend_get_page_size(void);
+#endif
 
 #ifdef  __cplusplus
 }

ggml/include/ggml-cpu.h

@@ -12,6 +12,9 @@ extern "C" {
     struct ggml_cplan {
         size_t    work_size; // size of work buffer, calculated by `ggml_graph_plan()`
         uint8_t * work_data; // work buffer, to be allocated by caller before calling to `ggml_graph_compute()`
+#ifdef GGML_USE_NUMA_MIGRATE
+        uint8_t * work_data_numa[GGML_NUMA_MIGRATE_NODES];
+#endif
 
         int n_threads;
         struct ggml_threadpool * threadpool;
@@ -28,6 +31,9 @@ extern "C" {
         GGML_NUMA_STRATEGY_ISOLATE    = 2,
         GGML_NUMA_STRATEGY_NUMACTL    = 3,
         GGML_NUMA_STRATEGY_MIRROR     = 4,
+#ifdef GGML_USE_NUMA_MIGRATE
+        GGML_NUMA_STRATEGY_MIGRATE    = 5,
+#endif
         GGML_NUMA_STRATEGY_COUNT
     };
 

ggml/src/CMakeLists.txt

@@ -343,3 +343,27 @@ if (BUILD_SHARED_LIBS)
         target_compile_definitions(${target} PUBLIC  GGML_SHARED)
     endforeach()
 endif()
+
+if (GGML_NUMA_MIGRATE)
+    find_path(NUMA_ROOT_DIR
+        NAMES include/numa.h
+        PATHS ENV NUMA_ROOT
+        DOC "NUMA root directory")
+
+    find_library(NUMA_LIBRARY
+        NAMES numa
+        HINTS ${NUMA_ROOT_DIR}
+        DOC "NUMA library")
+
+    if (NOT NUMA_LIBRARY)
+        message(FATAL_ERROR "Could NOT find NUMA library.")
+    endif()
+
+    if (GGML_NUMA_MIGRATE_DEBUG)
+        target_compile_definitions(ggml-base PUBLIC GGML_USE_NUMA_MIGRATE GGML_NUMA_MIGRATE_NODES=${GGML_NUMA_MIGRATE_NODES} GGML_USE_NUMA_MIGRATE_DEBUG)
+    else()
+        target_compile_definitions(ggml-base PUBLIC GGML_USE_NUMA_MIGRATE GGML_NUMA_MIGRATE_NODES=${GGML_NUMA_MIGRATE_NODES})
+    endif()
+
+    target_link_libraries(ggml-base PRIVATE ${NUMA_LIBRARY})
+endif()

ggml/src/ggml-alloc.c

@@ -948,6 +948,22 @@ static bool alloc_tensor_range(struct ggml_context * ctx,
         ggml_backend_buffer_type_t buft, size_t size,
         ggml_backend_buffer_t ** buffers, size_t * n_buffers) {
 
+#ifdef GGML_USE_NUMA_MIGRATE
+    size_t num_of_tensors = 0;
+    for (struct ggml_tensor * t = first; t != last; t = ggml_get_next_tensor(ctx, t)) {
+        if (t->data == NULL) {
+            if (t->view_src == NULL) {
+                num_of_tensors++;
+            }
+        }
+    }
+    size_t ps = ggml_backend_get_page_size();
+    size_t original_size = size;
+    size += ps * num_of_tensors;
+    GGML_LOG_DEBUG("alloc buffer for NUMA page migration, num of tensors: %ld, size increased from %ld to %ld, increased %ld MiB\n",
+                    num_of_tensors, original_size, size, (size - original_size) / 1024 / 1024);
+#endif
+
     ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, size);
     if (buffer == NULL) {
         GGML_LOG_ERROR("%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(buft), size);