[CCF Archive] Store object type eviction policy submission #3
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@ -41,7 +41,6 @@ extensions = [
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"sphinx.ext.linkcode",
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"sphinx.ext.intersphinx",
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"sphinx_copybutton",
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"autodoc2",
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"myst_parser",
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"sphinxarg.ext",
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"sphinx_design",
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@ -53,25 +52,17 @@ myst_enable_extensions = [
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"fieldlist",
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]
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myst_fence_as_directive = ["mermaid"]
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autodoc2_packages = [
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{
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"path": "../../Mooncake",
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"exclude_dirs": ["__pycache__", "third_party"],
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},
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]
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autodoc2_output_dir = "api"
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autodoc2_render_plugin = "myst"
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autodoc2_hidden_objects = ["dunder", "private", "inherited"]
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autodoc2_sort_names = True
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autodoc2_index_template = None
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# Add any paths that contain templates here, relative to this directory.
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templates_path = ['_templates']
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# List of patterns, relative to source directory, that match files and
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# directories to ignore when looking for source files.
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# This pattern also affects html_static_path and html_extra_path.
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exclude_patterns: list[str] = ["**/*.template.md", "**/*.inc.md"]
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exclude_patterns: list[str] = [
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"**/*.template.md",
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"**/*.inc.md",
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"zh_archive/**",
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]
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# Exclude the prompt "$" when copying code
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copybutton_prompt_text = r"\$ "
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@ -1037,15 +1037,15 @@ Available log levels: trace, debug, info, warn (or warning), error, and critical
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## Example Code
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#### Python Usage Example
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### Python Usage Example
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We provide a reference example `distributed_object_store_provider.py`, located in the `mooncake-store/tests` directory. To check if the related components are properly installed, you can run etcd and Master Service (`mooncake_master`) in the background on the same server, and then execute this Python program in the foreground. It should output a successful test result.
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#### C++ Usage Example
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### C++ Usage Example
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The C++ API of Mooncake Store provides more low-level control capabilities. We provide a reference example `client_integration_test`, located in the `mooncake-store/tests` directory. To check if the related components are properly installed, you can run etcd and Master Service (`mooncake_master`) on the same server, and then execute this C++ program (located in the `build/mooncake-store/tests` directory). It should output a successful test result.
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## Version Management Policy
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The current version of Mooncake Store is defined in [`CMakeLists.txt`](../../mooncake-store/CMakeLists.txt) as `project(MooncakeStore VERSION 2.0.0)`.
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The current version of Mooncake Store is defined in [`CMakeLists.txt`](gh-file:mooncake-store/CMakeLists.txt) as `project(MooncakeStore VERSION 2.0.0)`.
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When to bump the version:
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@ -89,10 +89,26 @@ cpp-api
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metrics
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:::
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## TENT Quality of Service
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:::{toctree}
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:maxdepth: 1
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qos
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:::
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## TENT Slice Spraying
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:::{toctree}
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:maxdepth: 1
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slice-spraying
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:::
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## TENT Failover
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:::{toctree}
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:maxdepth: 1
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failover
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:::
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:::
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@ -337,7 +337,7 @@ The HTTP server should implement three following RESTful APIs, while the metadat
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2. `PUT /metadata?key=$KEY`: Update the metadata corresponding to `$KEY` to the value of the request body.
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3. `DELETE /metadata?key=$KEY`: Delete the metadata corresponding to `$KEY`.
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For specific implementation, refer to the demo service implemented in Golang at [mooncake-transfer-engine/example/http-metadata-server](../../../mooncake-transfer-engine/example/http-metadata-server).
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For specific implementation, refer to the demo service implemented in Golang at [mooncake-transfer-engine/example/http-metadata-server](gh-dir:mooncake-transfer-engine/example/http-metadata-server).
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### Initialization
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@ -211,6 +211,7 @@ address shown in the target's startup log (e.g., `ip-172-31-29-226:12345`).
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> **Note:** `buffer_size` must be >= `block_size * batch_size * threads`. The benchmark auto-adjusts if too small.
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(benchmark-results)=
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### Benchmark Results
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#### 1. p6-b300.48xlarge (B300, 16 EFA × 400 Gbps)
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@ -13,6 +13,7 @@ As shown in the diagram, each specific client corresponds to a `TransferEngine`,
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Mooncake Transfer Engine provides interfaces through the `TransferEngine` class (located in `mooncake-transfer-engine/include/transfer_engine.h`), where the specific data transfer functions for different backends are implemented by the `Transport` class, currently supporting `TcpTransport`, `RdmaTransport`, `EfaTransport`, `NVMeoFTransport`, `NvlinkTransport`, `IntraNodeNvlinkTransport`, and `HipTransport`.
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(segment)=
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### Segment
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Segment represents a collection of source address ranges and target address ranges available during the data transfer process in Transfer Engine. That is, all local and remote addresses involved in `BatchTransfer` requests must be within the valid segment range. Transfer Engine supports the following two types of Segments.
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@ -28,6 +29,7 @@ In addition, Transfer Engine also supports registering some **local DRAM areas**
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#### 2. NVMeof Segment
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Transfer Engine also leverages the NVMeof protocol to support direct data transfer from files on NVMe to DRAM/VRAM via PCIe, without going through the CPU and achieving zero-copy. Users need to follow the instructions to mount remote storage nodes locally and use the `openSegment` interface for reference to complete data read/write operations.
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(batchtransfer)=
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### BatchTransfer
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With the help of Transfer Engine, Mooncake Store can achieve local DRAM/VRAM reading and writing of specified parts in valid segments through TCP, (GPUDirect) RDMA, NVMe-of protocols, etc.
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@ -148,7 +150,7 @@ After successfully compiling Transfer Engine, the test program `transfer_engine_
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The initiator node can also configure the following test parameters: `--operation` (can be `"read"` or `"write"`), `batch_size`, `block_size`, `duration`, `threads`, etc.
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> [!NOTE]
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> If an exception occurs during execution, it is usually due to incorrect parameter settings. It is recommended to refer to the [troubleshooting document](troubleshooting.md) for preliminary troubleshooting.
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> If an exception occurs during execution, it is usually due to incorrect parameter settings. It is recommended to refer to the [troubleshooting document](../../troubleshooting/troubleshooting.md) for preliminary troubleshooting.
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### Sample Run
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@ -252,7 +254,7 @@ The HTTP server should implement three following RESTful APIs, while the metadat
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2. `PUT /metadata?key=$KEY`: Update the metadata corresponding to `$KEY` to the value of the request body.
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3. `DELETE /metadata?key=$KEY`: Delete the metadata corresponding to `$KEY`.
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For specific implementation, refer to the demo service implemented in Golang at [mooncake-transfer-engine/example/http-metadata-server](../../../mooncake-transfer-engine/example/http-metadata-server).
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For specific implementation, refer to the demo service implemented in Golang at [mooncake-transfer-engine/example/http-metadata-server](gh-dir:mooncake-transfer-engine/example/http-metadata-server).
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## Using Transfer Engine to Your Projects
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@ -265,7 +267,7 @@ To support the operational needs of P2P Store, Transfer Engine provides a Golang
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When compiling the project, enable the `-DWITH_P2P_STORE=ON` option to compile the P2P Store example program at the same time.
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### Using Rust Interface
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Under `mooncake-transfer-engine/rust`, the Rust interface implementation of TransferEngine is provided, and a Rust version of the benchmark is implemented based on the interface, similar to [transfer_engine_bench.cpp](../../../mooncake-transfer-engine/example/transfer_engine_bench.cpp). To compile the rust example, you need to install the Rust SDK and add `-DWITH_RUST_EXAMPLE=ON` in the cmake command.
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Under `mooncake-transfer-engine/rust`, the Rust interface implementation of TransferEngine is provided, and a Rust version of the benchmark is implemented based on the interface, similar to [transfer_engine_bench.cpp](gh-file:mooncake-transfer-engine/example/transfer_engine_bench.cpp). To compile the rust example, you need to install the Rust SDK and add `-DWITH_RUST_EXAMPLE=ON` in the cmake command.
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## Advanced Runtime Options
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For advanced users, TransferEngine provides the following advanced runtime options, all of which can be passed in through **environment variables**.
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@ -341,6 +343,7 @@ heterogeneous_ascend
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:::{toctree}
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:maxdepth: 1
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kunpeng_ub_transport
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sunrise_link_transport
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:::
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@ -16,17 +16,17 @@ pip install mooncake-transfer-engine
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Note:
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- If any `.so` file is missing, uninstall the pip package with `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually from source following the [build instructions](https://github.com/kvcache-ai/Mooncake/blob/main/doc/en/build.md).
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- If any `.so` file is missing, uninstall the pip package with `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually from source following the [build instructions](../build.md).
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### Install the latest version of LMDeploy
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##### 1. Clone LMDeploy from the official repo
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#### 1. Clone LMDeploy from the official repo
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```bash
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git clone https://github.com/InternLM/lmdeploy.git
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```
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##### 2. Build
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#### 2. Build
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##### 2.1 Build from source
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@ -164,4 +164,4 @@ curl -X POST "http://192.168.0.147:8000/v1/completions" \
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- You can specify multiple prefill or decode instances with distinct `--server-port` and different GPUs using `CUDA_VISIBLE_DEVICES`.
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- MooncakeTransferEngine supports both intra-node (PCIe) and inter-node (RDMA/CXL) transfer, and device selection is automatic or customizable via config.
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- When using HF models that timeout during prefill, consider setting model path to `~/Qwen3-8B` to accelerate loading from localhost.
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- Use `--log-level DEBUG` to get detailed runtime logs for troubleshooting.
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- Use `--log-level DEBUG` to get detailed runtime logs for troubleshooting.
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@ -12,7 +12,7 @@ This is the latest version of the MooncakeTransferEngine integration doc with th
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pip3 install mooncake-transfer-engine
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```
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Note: If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](build.md).
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Note: If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](../build.md).
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### Install the latest version of SGLang
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#### 1. Clone SGLang from official repo
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@ -16,7 +16,7 @@ pip3 install mooncake-transfer-engine
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```
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Note:
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- If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](build.md).
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- If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](../../build.md).
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- For vLLM version <= v0.8.4, it requires mooncake-transfer-engine <= 0.3.3.post2. In the latest release, interface `mooncake_vllm_adaptor` has been deprecated.
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### Install the latest version of vLLM
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@ -24,7 +24,7 @@ pip3 install mooncake-transfer-engine
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```
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Note:
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- If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](build.md).
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- If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](../../build.md).
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- For vLLM version <= v0.8.4, it requires mooncake-transfer-engine <= 0.3.3.post2. In the latest release, interface `mooncake_vllm_adaptor` has been deprecated.
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### Install the latest version of vLLM
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@ -16,7 +16,7 @@ Install mooncake-transfer-engine through pip:
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pip install mooncake-transfer-engine
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```
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Note: If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](../build.md).
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||||
Note: If you encounter problems such as missing `lib*.so`, you should uninstall this package by `pip3 uninstall mooncake-transfer-engine`, and build the binaries manually according to the [instructions](../../build.md).
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### Install vLLM
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@ -118,7 +118,7 @@ The following environment variables can be used to customize Mooncake behavior:
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## Performance
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For detailed performance benchmarks and results, see the [vLLM Benchmark](../../performance/vllm-v1-support-benchmark.md) documentation.
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For detailed performance benchmarks and results, see the [vLLM Benchmark](../../../performance/vllm-v1-support-benchmark.md) documentation.
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## Notes
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@ -156,7 +156,7 @@ curl http://<master-host>:9003/health
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The admin HTTP server is configured in the master config file (`master.json` or `master.yaml`):
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```json
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```text
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{
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"enable_metric_reporting": true,
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"metrics_port": 9003,
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@ -58,7 +58,7 @@ curl "http://localhost:8080/query_key?key=my_object"
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```
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**Response Format**:
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```json
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```text
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{
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"transport_endpoint_": "hostname:port",
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"buffer_descriptors": [...]
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@ -79,7 +79,7 @@ curl "http://localhost:8080/batch_query_keys?keys=key1,key2,key3"
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```
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**Response Format**:
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||||
```json
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```text
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{
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"success": true,
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"data": {
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@ -91,6 +91,7 @@ performance/vllm-v1-support-benchmark
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performance/allocator-benchmark-result
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||||
performance/allocation-strategy-benchmark-result
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performance/ssd-offload-benchmark-results
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performance/storage-benchmark
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:::
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% API Documentation
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@ -117,6 +118,7 @@ design/p2p-store
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design/transfer-engine/index
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design/hicache-design
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design/engram
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design/unified-parallel-tensor-io
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design/tent/overview
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design/tent/tebench
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design/conductor/conductor-architecture-design
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@ -3,7 +3,7 @@ Here are some preview mooncake benchmark results on A10 with up to 2 RDMA NICs.
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In addition, we are also coordinating resources to integrate some machines with more RDMA NICs and more advanced GPUs. The official benchmark results will be released in due time.
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### Varying tp (input length = 1024, qps = 2, output length =6)
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## Varying tp (input length = 1024, qps = 2, output length =6)
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| Setting | num_rdma_nic | Successful Requests | Duration (s) | Total Input Tokens | Total Generated Tokens | Req Throughput (req/s) | Output Token Throughput (tok/s) | Total Token Throughput (tok/s) | Mean TTFT (ms) | Median TTFT (ms) | P99 TTFT (ms) | Mean TPOT (ms) | Median TPOT (ms) | P99 TPOT (ms) | Mean ITL (ms) | Median ITL (ms) | P99 ITL (ms) |
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|-----------------|--------------|---------------------|--------------|--------------------|------------------------|------------------------|---------------------------------|-------------------------------|----------------|-----------------|--------------|---------------|------------------|--------------|--------------|----------------|-------------|
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| tp = 1 | 2 | 200 | 99.47 | 201995 | 1200 | 2.01 | 12.06 | 2042.74 | 1056.76 | 635.00 | 4006.59 | 97.08 | 26.94 | 781.91 | 97.01 | 14.05 | 2205.51 |
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@ -16,7 +16,7 @@ In addition, we are also coordinating resources to integrate some machines with
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| tp = 2 | TCP | 200 | 98.97 | 201995 | 1200 | 2.02 | 12.12 | 2053.03 | 333.74 | 251.32 | 954.63 | 28.74 | 15.49 | 161.24 | 28.70 | 15.35 | 393.52 |
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| tp = 4 | TCP | 200 | 98.78 | 201995 | 1200 | 2.02 | 12.15 | 2056.94 | 205.37 | 162.92 | 463.70 | 21.54 | 16.51 | 94.04 | 21.51 | 16.56 | 170.54 |
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||||
|
||||
### Varying qps (length = 1024, tp = 4, output length =6)
|
||||
## Varying qps (length = 1024, tp = 4, output length =6)
|
||||
|Setting | num_rdma_nic | Successful Requests | Duration (s) | Total Input Tokens | Total Generated Tokens | Req Throughput (req/s) | Output Token Throughput (tok/s) | Total Token Throughput (tok/s) | Mean TTFT (ms) | Median TTFT (ms) | P99 TTFT (ms) | Mean TPOT (ms) | Median TPOT (ms) | P99 TPOT (ms) | Mean ITL (ms) | Median ITL (ms) | P99 ITL (ms) |
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||||
|-----------------|--------------|---------------------|--------------|--------------------|------------------------|------------------------|---------------------------------|-------------------------------|----------------|-----------------|--------------|---------------|------------------|--------------|--------------|----------------|-------------|
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| qps = 2 | 2 | 200 | 98.77 | 201995 | 1200 | 2.02 | 12.15 | 2057.33 | 200.64 | 156.62 | 478.22 | 22.63 | 17.35 | 99.61 | 22.60 | 17.08 | 186.25 |
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@ -32,7 +32,7 @@ In addition, we are also coordinating resources to integrate some machines with
|
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| qps = 6 | TCP | 200 | 33.49 | 201995 | 1200 | 5.97 | 35.83 | 6067.71 | 907.74 | 514.85 | 3253.93 | 122.75 | 45.51 | 648.40 | 122.56 | 18.09 | 2282.92 |
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| qps = 8 | TCP | 200 | 28.39 | 201995 | 1200 | 7.04 | 42.26 | 7156.09 | 6714.57 | 7885.09 | 11787.51 | 1116.06 | 408.32 | 4645.25 | 1114.29 | 46.87 | 21898.03 |
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||||
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||||
### Varying input length (tp = 4, qps = 2, output length =6)
|
||||
## Varying input length (tp = 4, qps = 2, output length =6)
|
||||
| Setting | num_rdma_nic | Successful Requests | Duration (s) | Total Input Tokens | Total Generated Tokens | Req Throughput (req/s) | Output Token Throughput (tok/s) | Total Token Throughput (tok/s) | Mean TTFT (ms) | Median TTFT (ms) | P99 TTFT (ms) | Mean TPOT (ms) | Median TPOT (ms) | P99 TPOT (ms) | Mean ITL (ms) | Median ITL (ms) | P99 ITL (ms) |
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||||
|-----------------|--------------|---------------------|--------------|--------------------|------------------------|------------------------|---------------------------------|-------------------------------|----------------|-----------------|--------------|---------------|------------------|--------------|--------------|----------------|-------------|
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| 1024 | 2 | 200 | 98.77 | 201995 | 1200 | 2.02 | 12.15 | 2057.32 | 195.47 | 151.55 | 482.84 | 22.83 | 19.27 | 96.55 | 22.81 | 18.12 | 158.16 |
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@ -2,7 +2,7 @@
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|||
Here are some preview MooncakeStore benchmark results on A10 with "Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4".
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||||
|
||||
|
||||
### Varying PD ratio (input length = 1024, qps = 2, output length =6, num of requests = 200)
|
||||
## Varying PD ratio (input length = 1024, qps = 2, output length =6, num of requests = 200)
|
||||
| Configuration | Backend | Duration (s) | Output Token Throughput (tok/s) | Total Token Throughput (tok/s) | Mean TTFT (ms) | Median TTFT (ms) | P99 TTFT (ms) | Mean TPOT (ms) | Median TPOT (ms) | P99 TPOT (ms) | Mean ITL (ms) | Median ITL (ms) | P99 ITL (ms) |
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||||
|----------------------------|----------------------|--------------|---------------------------------|-------------------------------|----------------|-----------------|--------------|---------------|------------------|--------------|--------------|----------------|-------------|
|
||||
| 2P2D tp = 1 | Redis | 99.47 | 12.06 | 2042.75 | 844.28 | 666.84 | 2270.91 | 16.88 | 11.57 | 104.83 | 16.84 | 11.56 | 239.67 |
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||||
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@ -2820,8 +2820,6 @@ bind_to_numa_node(0)
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|||
|
||||
---
|
||||
|
||||
---
|
||||
|
||||
## Error Handling
|
||||
|
||||
Most methods return integer status codes:
|
||||
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@ -2844,5 +2842,3 @@ For methods that return data (`get`, `get_batch`, `get_buffer`, `get_tensor`):
|
|||
4. **Configure replication** appropriately - more replicas provide better availability but use more storage
|
||||
5. **Use soft pinning** for frequently accessed objects to keep them in memory
|
||||
6. **Choose RDMA protocol** when available for maximum performance
|
||||
|
||||
---
|
||||
|
|
|
|||
|
|
@ -624,6 +624,7 @@ The Transfer Engine respects the following environment variables:
|
|||
### Basic Setup and Data Transfer
|
||||
|
||||
```python
|
||||
import numpy as np
|
||||
from mooncake.engine import TransferEngine
|
||||
import os
|
||||
|
||||
|
|
@ -650,7 +651,7 @@ data_len = len(data)
|
|||
engine.register_memory(buffer_data, buffer_data_len)
|
||||
|
||||
# Get Remote Addr from ZMQ or upper-layer inference framework
|
||||
remote_addr = ??
|
||||
remote_addr = REMOTE_ADDR
|
||||
|
||||
# Transfer data to remote node
|
||||
ret = engine.transfer_sync_write(
|
||||
|
|
|
|||
|
|
@ -5,4 +5,4 @@
|
|||
## 当前状态
|
||||
- 已归档,不再活跃维护
|
||||
- 网站当前只显示英文文档
|
||||
- 如需查看/编辑最新文档,请访问docs目录
|
||||
- 如需查看/编辑最新文档,请访问docs目录
|
||||
|
|
|
|||
Loading…
Reference in New Issue