We have hosted the application dagger jl in order to run this application in our online workstations with Wine or directly.


Quick description about dagger jl:

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


Programming Language: Julia.
Categories:
Computational Fluid Dynamics (CFD)

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