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cuda_ipc_memory.h
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1/*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
4 * distributed with this work for additional information
5 * regarding copyright ownership. The ASF licenses this file
6 * to you under the Apache License, Version 2.0 (the
7 * "License"); you may not use this file except in compliance
8 * with the License. You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing,
13 * software distributed under the License is distributed on an
14 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15 * KIND, either express or implied. See the License for the
16 * specific language governing permissions and limitations
17 * under the License.
18 */
19
20#ifndef TVM_RUNTIME_DISCO_CUDA_IPC_MEMORY_H_
21#define TVM_RUNTIME_DISCO_CUDA_IPC_MEMORY_H_
22
23#include <tvm/runtime/base.h>
25
26#include <vector>
27
28namespace tvm {
29namespace runtime {
30namespace cuda_ipc {
31
40class CUDAIPCMemoryObj : public ffi::Object {
41 public:
52 std::vector<void*> remote_data;
53
54 // We introduce the barrier helper data below per CUDAIPCMemory object
55 // so that they can be used by custom collective operations and allow
56 // fine-grained synchronization on each buffer. These barriers have
57 // low overhead, and can potentially enable concurrent execution of
58 // kernels in future.
63 std::vector<void*> barrier_in;
68 std::vector<void*> barrier_out;
71
72 static constexpr const bool _type_mutable = true;
73 TVM_FFI_DECLARE_OBJECT_INFO("tvm.runtime.disco.cuda_ipc_memory", CUDAIPCMemoryObj, ffi::Object);
74};
75
94
95} // namespace cuda_ipc
96} // namespace runtime
97} // namespace tvm
98
99#endif // TVM_RUNTIME_DISCO_CUDA_IPC_MEMORY_H_
RAII wrapper function to enter and exit a context object similar to python's with syntax.
Definition with_context.h:59
The CUDA IPC (interprocess communication) memory object, which internally contains data pointers to C...
Definition cuda_ipc_memory.h:40
static constexpr const bool _type_mutable
Definition cuda_ipc_memory.h:72
std::vector< void * > barrier_out
The pointers to output barrier signals of all workers for all-reduce. It has "num_workers" pointers,...
Definition cuda_ipc_memory.h:68
std::vector< void * > barrier_in
The pointers to input barrier signals of all workers for all-reduce. It has "num_workers" pointers,...
Definition cuda_ipc_memory.h:63
TVM_FFI_DECLARE_OBJECT_INFO("tvm.runtime.disco.cuda_ipc_memory", CUDAIPCMemoryObj, ffi::Object)
int barrier_flag
The integer buffer flag for all-reduce.
Definition cuda_ipc_memory.h:70
int num_workers
The number of GPU workers.
Definition cuda_ipc_memory.h:43
int worker_id
The worker id corresponding to this IPC memory object.
Definition cuda_ipc_memory.h:45
std::vector< void * > remote_data
The data pointers of all all-reduce inputs. It has "num_workers" pointers. The i-th pointer is the da...
Definition cuda_ipc_memory.h:52
Managed reference to CUDAIPCMemoryObj.
Definition cuda_ipc_memory.h:80
static TVM_RUNTIME_DLL memory::Allocator * GlobalAllocator()
Get the global singleton CUDAIPCMemory allocator.
TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE(CUDAIPCMemory, ffi::ObjectRef, CUDAIPCMemoryObj)
static TVM_RUNTIME_DLL CUDAIPCMemory GetIPCMemoryFromDevicePtr(void *ptr)
Given a local CUDA data pointer, return the CUDAIPCMemory object of the pointer.
Definition memory_manager.h:57
Abstract device memory management API.
An object that builds and maintains block scope and StmtSref mapping for Dependence analysis.
Definition analyzer.h:40
#define TVM_RUNTIME_DLL
Definition base.h:92