This is the Linux app named UCCL whose latest release can be downloaded as ucclsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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UCCL
DESCRIPTION
UCCL is a high-performance GPU communication library designed to support distributed machine learning workloads and large-scale AI systems. The library focuses on enabling efficient data transfer and collective communication between GPUs during training and inference processes. It supports a variety of communication patterns including collective operations such as all-reduce as well as peer-to-peer transfers that are commonly used in modern machine learning architectures. UCCL is designed to work with heterogeneous hardware environments, allowing GPUs from different vendors and network interfaces to communicate efficiently without vendor lock-in. The system also supports specialized workloads such as reinforcement learning weight transfers, key-value cache sharing, and expert parallelism for mixture-of-experts models. Its architecture emphasizes flexibility and extensibility so that developers can implement custom communication protocols tailored to specific machine learning workloads.
Features
- GPU communication library supporting collective and peer-to-peer operations
- High-performance data transfer for distributed machine learning workloads
- Support for heterogeneous GPUs and network interfaces
- Optimized transport layers for RDMA and GPU networking
- Tools for expert parallelism and key-value cache transfer in AI systems
- Extensible architecture for custom communication protocols
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/uccl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
