Download
Dagger.jl is a framework for out-of-core and parallel computing in Julia that allows users to construct and execute dynamic task graphs. It is designed for large-scale, distributed, and memory-efficient computations. Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning.
Features
- Constructs dynamic acyclic computation graphs
- Enables parallel and distributed execution
- Supports lazy evaluation for memory efficiency
- Integrates with multi-threading and cluster environments
- Handles out-of-core computations for large datasets
- Interoperable with Julia arrays, tables, and custom types
Project Samples
Categories
Computational Fluid Dynamics (CFD)License
MIT LicenseFollow Dagger.jl
Other Useful Business Software
$300 in Free Credit Towards Top Cloud Services
Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Dagger.jl!
