RaftLib
RaftLib is an open-source, C++ library designed for creating high-performance, dataflow-based applications. It provides a framework for composing and executing computation graphs consisting of reusable, modular components, often referred to as "actors" or "kernels." RaftLib focuses on facilitating parallelism and concurrency through asynchronous message passing between these components.
The core principle of RaftLib revolves around the dataflow paradigm, where data "flows" through the computation graph. Each component performs a specific transformation or operation on the data it receives and then passes the processed data to other components. This model allows for inherent parallelism, as components can operate independently and concurrently, maximizing resource utilization.
Key features of RaftLib include:
- Actor-Based Concurrency: Computation is structured around independent actors that communicate through asynchronous message passing. This approach simplifies the development of concurrent applications by managing synchronization and data dependencies.
- Dataflow Programming Model: Data is explicitly passed between actors, defining the flow of execution and enabling efficient scheduling and execution of the computation graph.
- Heterogeneous Computing Support: RaftLib is designed to support heterogeneous computing environments, allowing developers to leverage CPUs, GPUs, and other accelerators for optimal performance.
- Scalability: The library is designed to scale to large datasets and complex computations by distributing the workload across multiple processors or machines.
- Modularity and Reusability: The actor-based architecture promotes modularity and reusability, as components can be easily composed and interconnected to create new applications.
RaftLib finds applications in a variety of domains, including signal processing, image processing, robotics, machine learning, and data analytics, where high performance and concurrency are critical.