Aparapi
A framework for executing native Java and Scala code on the GPU via OpenCL for data-parallel computation.
What is Aparapi?
Aparapi is a framework that allows Java and Scala developers to write native code that runs directly on GPUs by converting Java bytecode to OpenCL kernels at runtime. It solves the problem of leveraging GPU acceleration for data-parallel computations without requiring developers to write low-level OpenCL code. This enables significant performance improvements for tasks that can be parallelized across hundreds of GPU cores.
Java and Scala developers working on data-parallel, computationally intensive applications such as scientific simulations, financial modeling, or machine learning preprocessing who need GPU acceleration without leaving the JVM ecosystem.
Developers choose Aparapi because it provides a straightforward way to harness GPU power using familiar Java/Scala syntax, eliminating the need to learn complex GPU programming languages. Its automatic fallback to CPU and broad OpenCL compatibility ensure reliability and portability across different hardware setups.
Overview
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
Use Cases
Best For
- Accelerating scientific simulations like n-body problems on the GPU
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
