Microsoft/napajsArchived
Napajs
Napajs is an embeddable JavaScript engine and multi-threaded runtime designed to be integrated directly into other software applications as a component. It serves as a parallel computation framework that allows JavaScript code to execute across multiple threads, bypassing the standard single-threaded event loop limitation to handle CPU-intensive tasks.
The runtime is distinguished by its ability to load and execute modules from the NPM ecosystem and its pluggable execution environment. This architecture allows for custom implementations of memory allocation, system logging, and performance metrics collection to tailor the engine's behavior and observability.
The project provides capabilities for parallel workload processing and shared memory management. It utilizes shared buffers and data marshaling to move information between threads and maintains a global store with synchronization locks to manage concurrent access to state.
The engine provides native memory control and a pluggable backend for managing the lifecycle of buffers and objects within the execution environment.
Features
- JavaScript Engine Embedding - Provides the core capability of integrating a JavaScript runtime directly into other software applications as a component.
- JavaScript Runtimes - Implements a high-performance JavaScript runtime specifically designed to be embedded as a component within other applications.
- Native Data Marshallers - Provides native data marshalling to convert JavaScript values into portable formats for safe inter-thread communication.
- Shared Memory Buffers - Transports typed arrays via shared memory buffers to allow multiple threads to modify data without copying.
- Shared Memory Transports - Implements zero-copy communication by transferring typed arrays via shared memory buffers across multiple threads.
- Embeddable Scripting Engines - Designed as an embeddable engine that allows JavaScript logic to be integrated directly into a host application.
- Custom Parallel Task Execution - Distributes CPU-intensive workloads into independent units for concurrent execution across multiple worker threads.
- Lock-Free Thread Communication - Transfers data between different execution threads using a dedicated transport mechanism to maintain state across boundaries.
- Cross-Thread Object Synchronization - Transports and synchronizes data objects between different JavaScript threads to maintain consistent state.
- Parallel Workload Distribution - Distributes CPU-intensive computational tasks across multiple worker threads to increase system throughput.
- Runtime Embedding - Integrates the entire JavaScript runtime as a component within a larger native application.
- Shared State Locks - Implements synchronization locks to manage concurrent access to shared JavaScript values in a global store.
- Multi-threaded Execution - Coordinates timing and access between concurrent threads to prevent race conditions and manage execution flow.
- JavaScript Multi-Threading - Provides a multi-threaded runtime that enables JavaScript execution across multiple threads to handle compute-heavy tasks.
- NPM Module Compatibility - Integrates external libraries from the Node ecosystem by implementing a compatible module loading architecture.
- Embedded Runtime Deployment - Enables the deployment of a JavaScript execution environment as an integrated component within other software applications.
- Shared Global Value Stores - Maintains JavaScript values in a shared global space accessible to multiple concurrent execution threads.
- High-Performance and Parallel Computing - Serves as a parallel computation framework for distributing CPU-intensive tasks across multiple processing resources.
- Thread State Synchronization - Communicates state and results between concurrent workers using a shared store to coordinate multi-stage computations.
- Concurrent Shared-Map Access - Saves and fetches marshalled data from a map using locks to manage concurrent access across worker threads.
- Shared Memory Management - Manages shared memory segments and buffers to synchronize state and move data between threads without copying.
- Computational Parallelization - Distributes sub-tasks across multiple JavaScript threads to process data simultaneously and aggregate results.
- Plugin-Extensible Runtimes - Provides a plugin-extensible architecture to customize internal runtime behavior like memory management and logging.
- Native Memory Lifecycle Management - Provides direct control over the allocation and lifecycle of native memory buffers and objects.
- Node.js Runtime Compatibility - Ensures compatibility with the NPM ecosystem by allowing the runtime to load and execute Node.js modules.
- Customizable Backend Interfaces - Provides a pluggable execution environment for custom memory allocation, system logging, and performance metrics collection.
- Pluggable Runtime Internals - Features a pluggable execution environment with customizable interfaces for memory allocation, logging, and metrics.
- Promise-Based Task Orchestration - Distributes recursive operations and CPU-intensive tasks across worker threads using promises to ensure deadlock-free aggregation.
- Pluggable Backends - Offers a pluggable architecture for swapping internal implementations of logging, metrics, and memory allocation.
- Recursive Parallel Distribution - Distributes recursive operations across multiple threads using promises to prevent deadlocks during sub-task completion.
- JavaScript Standards and Style - Multi-threaded JavaScript execution for Node.js.
