Rust API Documentation#
This page provides access to the Rust API documentation for Monarch.
The Monarch project consists of several Rust crates, each with specialized functionality:
Core Framework#
hyperactor - Core actor framework for distributed computing
hyperactor_macros - Procedural macros for the hyperactor framework
hyperactor_multiprocess - Multi-process support for hyperactor
hyperactor_mesh - Mesh networking for hyperactor clusters
hyperactor_mesh_macros - Macros for hyperactor mesh functionality
CUDA and GPU Computing#
cuda-sys - Low-level CUDA FFI bindings
nccl-sys - NCCL (NVIDIA Collective Communications Library) bindings
torch-sys - PyTorch C++ API bindings for Rust
monarch_tensor_worker - High-performance tensor processing worker
RDMA and High-Performance Networking#
monarch_rdma - Remote Direct Memory Access (RDMA) support for high-speed networking
rdmaxcel-sys - Low-level RDMA acceleration bindings
System and Utilities#
controller - System controller and orchestration
hyper - HTTP utilities and web service support
ndslice - N-dimensional array slicing and manipulation
monarch_extension - Python extension module for Monarch functionality
Architecture Overview#
The Rust implementation provides a comprehensive framework for distributed computing with GPU acceleration:
Actor Model: Built on the hyperactor framework for concurrent, distributed processing
GPU Integration: Native CUDA support for high-performance computing workloads
Mesh Networking: Efficient communication between distributed nodes
Tensor Operations: Optimized tensor processing with PyTorch integration
Multi-dimensional Arrays: Advanced slicing and manipulation of n-dimensional data
For complete technical details, API references, and usage examples, explore the individual crate documentation above.
